Classification and Ordering of Portfolios and of New Insured Unities of Risks
|
|
- Irma Phelps
- 6 years ago
- Views:
Transcription
1 Classification and Odeing of Potfolios and of New Insued Unities of Risks Augusto Feddi, Giulia Sagenti Univesity of Rome La Sapienza Depatment of Actuaial and Financial Sciences 36th Intenational ASTIN Colloquium. Zuich, 4 7 Septembe 2005
2 Intoduction The classical definitions of classification and odeing of isks. The classification of isks is used to goup individual isks to which it must be applied the same pemium. The aim is the potection of the insuance system s financial soundness. The odeing of isks is a compaison of isks belonging to two diffeent classes. The aim is to establish to which isk it must be applied the geate pemium. Both the classification and the odeing ae based on the isks measues. of New Insued Unities of Risks 2
3 Intoduction The basic ideas of ou model. The classification and the odeing ae made afte the isks ae insued (the pupose is the outline of a einsuance stategy). The classification and the odeing ae based on the changes poduced in the state of the business in the passage fom a geneic potfolio to the new potfolio managed by a popety-casualty insuance company (i.c.). potential policyholde(s) i.c. unity of isk potfolio t = 0 t = = i.c. potfolio { ; } time of unity of isk s tansfe time of New Insued Unities of Risks 3
4 Intoduction Tools used in ou model. The (actuaial) business of the i.c.: Business={Potfolio, Opeative stuctue}. The opeative stuctue: it is the set of the constaints and ules imposed on the potfolio s management by the insuance maket and the egulatoy authoity and of the citeia adopted by the i.c. The state of the business: it is descibed by using the loss exceedance pobability (LEP) cuve and some vectos defined as state vaiables. The state vaiables measues: they ae used to establish the odeing citeia. of New Insued Unities of Risks 4
5 Outline of the pape Potfolio of isks un by the i.c. at time The desciption of the business The state of the business The gaphic epesentation of the state of the business The classification of The odeing of The new unity of isk intoduced at time The new potfolio.. The state of the business The gaphic epesentation of and The classification of The odeing of... B( ). B( ). B( ). B( ) t = 0. t B( ). = 0. B ( ). of New Insued Unities of Risks 5
6 Potfolio of isks time t = 0 un by the i.c. at Notations and assumptions. = {, K, }, l >>, independent components. l The isk s analysis is ove a time hoizon of one yea. The composition of does not change ove The total claim amount in one yea is epesented by F S i is known and defined on [ 0,]. S. [, M ( S )], M ( ) (0, ). 0 The i.c. opeates out of a continuous time economic envionment. In paticula the model does not include taxes, commissions, investment incomes, dividend payout to shaeholdes, inflation. S of New Insued Unities of Risks 6
7 The desciption of the business B( ) The business elative to potfolio : Θ( ) is the opeative stuctue elative to potfolio Citeia fo defining B( ) = (, Θ( )). Θ( ).. Insuance maket s constaint. 2. Citeia adopted by the i.c. 3. Conditions imposed on the i.c. by the egulatoy authoity (.a.).. of New Insued Unities of Risks 7
8 The desciption of the business B( ) Independently of the pinciples used to assess the single pue pemiums P( i ), the pemium income ove one yea can be expessed by [ S ] + c( ), c( ) = η( ) E[ S ]. P( ) = E. Insuance maket s constaint. M η > 0 η( ) η (0, Mη ], η [ 0,]. whee is the maximum of in the competitive insuance maket (i.m.) duing of New Insued Unities of Risks 8
9 The desciption of the business B( ) 2. Citeia adopted by the i.c. ε 0 (0,) The i.c. fixes as the maximum acceptable uin pobability pe yea. The i.c. selects the pemium calculation pinciples. Having expessed the fee eseve popotional to the pue pemium, u( ) = αp( ), α α( ) > 0, α, > 0, the i.c. fixes the maximum fo than a value linked to the i.m. M M M α lowe of New Insued Unities of Risks 9
10 The desciption of the business B( ) 3. Conditions imposed on the i.c by the.a. ( I ). The i.c. must opeate within the maximum acceptable uin pobability pe yea ε ( 0, ε to which 0] coesponds the maximum acceptable loss MAL ( ). The i.c. must have a minimum fee eseve u = α + η ) E[ S ]. ( The minimum acceptable capital stuctue is CS * * ( ) = u + ( + η ) E h = ( + α )( + η ) [ ] S = h E[ ], S whee is the minimum acceptable actuaial capitalization facto. of New Insued Unities of Risks 0
11 The desciption of the business B( ) 3. Conditions imposed on the i.c by the.a. ( II ). The only authoized state of the business is the acceptable state: CS( ) CS ( ), ( α, η) As paticula case, it includes the stable state: CS( ) + ϕ, ( α, η) CS ( ) whee ϕ > 0 0 CS ( ) = u( ) + P( ) [ m, M ] [ m, M ]. α α [ m, M ] [ m, M ], 0 α α η η is independent on the potfolio and is the capital stuctue of the i.c. η η of New Insued Unities of Risks
12 The desciption of the business B( ) The acceptable and the stable states of the business ae equivalent to a non negative and to a stictly positive capacity, espectively, having defined the capacity of the i.c. elative to the potfolio by whee C ( α, η) = CS( ) CS ( ), [ m, M ] [ m, M ]. ( α, η) α α η η of New Insued Unities of Risks 2
13 The desciption of the business B( ) Θ( ) The opeative stuctue expesses all the pevious constaints, citeia and ules and it can be epesented by the following set { Θ( ) = ε, Mα, Mη, ϕ0; α( ), η( ), h( ), ε (0, ε ]}. of New Insued Unities of Risks 3
14 The gaphic epesentation of the state of the business F S To each d.f. coesponds a loss exceedance pobability (LEP) cuve. We tace the LEP elative to on the -plane, whee H = S E[ ]. S We epesent the state of the business on the LEP cuve though the points ( = h, ε ), B( ) ( H,0,ε ) (, Θ( )) B( ) = A B = ( h,ε ), Q = ( 0, ε ). of New Insued Unities of Risks 4
15 The gaphic epesentation of the state of the business A, B, Q B( ) ( H,0,ε ) define on the -plane the state vaiables, that is, the following six vectos: ( v = h,0), ( v 2 = h h, ε ε ), ( ( v v 3 = h, ε ε ), 4 = 0, ε ε ), ( v 5 = h h,0), v ( 6 = h,0). of New Insued Unities of Risks 5
16 The gaphic epesentation of the state of the business B( ) LEP ε ε 0 Q v 4 v A v v 3 2 v v 5 6 h h B H of New Insued Unities of Risks 6
17 The gaphic epesentation of the state of the business B( ) One of the thee possible systems of basic state equations is v v v + v2 v3 = 2 + v4 v5 = 3 + v4 v6 = 0, 0, 0. of New Insued Unities of Risks 7
18 The classification of The classification is based on the state of the business and is gaphically expessed only though the vecto Definition. The management of potfolio. is authoized if eithe sgn v 4 > 0 (the stable state) o v = 0 (the acceptable state), 4 2. It is not authoized if sgn v 4 < 0. v 4. of New Insued Unities of Risks 8
19 The odeing of The odeing citeia fo potfolio ae defined by the measues ρ( v i ) of the vectos v i, i =, K The measues of the vectos ae: ρ( vi ) = vi, i =,6, ρ( vi ) = sgn v sgn v 4 vi, i = 4 > 0 o ρ v ) = sgn v, if eithe whee If ( 5 5 v5 v 4 = 0, v > [ ] 0 when h > [ < ] h. sgn 5 < then v oc i oc 2,3,4, sgn v 4 < 0. = i (Θ) = v3 = v6, v2 = v5 = 0.,6. of New Insued Unities of Risks 9
20 The odeing of Let be two potfolios whose states of the business ae defined by the vectos v ), v ( ), i =,,6. Definition. pecedes in the - ode, i.e. iff, 2 2 oc ( Θ( )) pecedes 2 i 2, i ( i 2 K oc i ( Θ( )) ρ( vi ( )) ρ( vi ( 2 )), i =, K,6. in the Θ ( ) -ode, i.e., Θ ( ) 2 iff ρ( vi ( )) ρ( vi ( 2 )), i =, K,6. of New Insued Unities of Risks 20
21 The new unity of isk intoduced at time t = 0 Notations and assumptions. = {, K, }, m, dependent components. S F S m h is the total claim amount of pe yea. is known and defined on [ 0, M ( S )], M ( S ) > 0. of New Insued Unities of Risks 2
22 The new potfolio The i.c. uns the potfolio in The state of the business is { } = ; B( ) = (, Θ), Θ = Θ( ). [ 0,]. The opeative stuctue elative to potfolio is epesented by Θ = { ), ( ), ( ), ε, M, M, ϕ ; α( η h ε (0, ε ]}. α η 0 of New Insued Unities of Risks 22
23 The state of the business B( ) The state of the business is epesented on the - plane though the points ( H,0,ε ) by which we define the new state vaiables v = v, v 3 = v + AA 3 + BF + BG, v = v + BF A, B( ) = ε A 5 5 A ( ) ( ) h, ε, B = h, ε, Q = ( 0, ), v A, 2 v2 + BF + BG A = v 4 = v 4 BG, v 6 = v 6 + BF. of New Insued Unities of Risks 23
24 The gaphic epesentation of B( ) B( ) and LEP Q ε ε v 3 ε v 4 3 B 4 0 v v v A h h v 2 v h A v 2 h B H of New Insued Unities of Risks 24
25 The classification of Assumption. The state of the business is authoized and is completely etained by the i.c. The classes and sub-classes of ae B( ) nomal isk capacity geneato isk capacity isk geat isk dangeous isk catastophic isk mega-catastophic isk of New Insued Unities of Risks 25
26 The classification of Definition. B( ) is a nomal isk iff is authoized, i.e., is a dangeous isk iff Definition. Let be a nomal isk. is a capacity geneato isk iff is capacity isk iff whee h h < h. > h + τ ( h h ), h h < h + τ ( h h ). τ = E [ S ] E[ ]. S h h. of New Insued Unities of Risks 26
27 The classification of Definition. Let is a geat isk iff is a catastophic isk iff h h < be a dangeous isk. h ( M α, M η ). is a mega-catastophic isk iff h( Mα, Mη ) < h h( M M, Mη ). h( M M, Mη ) < h. of New Insued Unities of Risks 27
28 The odeing of Let be a state of the business. Let be two unities of isk and let be the coesponding new potfolios. = Definition. pecedes in the - ode, i.e. iff B( ), 2 { } 2 ; pecedes 2 iff 2, 2 oci ( B( )) 2 = oc i ( B( )) oc ( Θ( )) 2, i =, K,6. i in the B( ) -ode, i.e. ρ( vi ( )) ρ( vi ( 2 )), i =, K,6. { ; },, B ( ) 2 of New Insued Unities of Risks 28
29 The odeing of Poposition. If then that is, ρ oc ( Θ( )) 2, i =,4,5,6, i ( )) ρ( vi ( )), i =, K,6, ( vi 2 B ( ) 2. of New Insued Unities of Risks 29
MEASURING CHINESE RISK AVERSION
MEASURING CHINESE RISK AVERSION --Based on Insuance Data Li Diao (Cental Univesity of Finance and Economics) Hua Chen (Cental Univesity of Finance and Economics) Jingzhen Liu (Cental Univesity of Finance
More information4/18/2005. Statistical Learning Theory
Statistical Leaning Theoy Statistical Leaning Theoy A model of supevised leaning consists of: a Envionment - Supplying a vecto x with a fixed but unknown pdf F x (x b Teache. It povides a desied esponse
More information2 Governing Equations
2 Govening Equations This chapte develops the govening equations of motion fo a homogeneous isotopic elastic solid, using the linea thee-dimensional theoy of elasticity in cylindical coodinates. At fist,
More informationDo Managers Do Good With Other People s Money? Online Appendix
Do Manages Do Good With Othe People s Money? Online Appendix Ing-Haw Cheng Haison Hong Kelly Shue Abstact This is the Online Appendix fo Cheng, Hong and Shue 2013) containing details of the model. Datmouth
More informationRotational Motion. Lecture 6. Chapter 4. Physics I. Course website:
Lectue 6 Chapte 4 Physics I Rotational Motion Couse website: http://faculty.uml.edu/andiy_danylov/teaching/physicsi Today we ae going to discuss: Chapte 4: Unifom Cicula Motion: Section 4.4 Nonunifom Cicula
More informationac p Answers to questions for The New Introduction to Geographical Economics, 2 nd edition Chapter 3 The core model of geographical economics
Answes to questions fo The New ntoduction to Geogaphical Economics, nd edition Chapte 3 The coe model of geogaphical economics Question 3. Fom intoductoy mico-economics we know that the condition fo pofit
More information15.081J/6.251J Introduction to Mathematical Programming. Lecture 6: The Simplex Method II
15081J/6251J Intoduction to Mathematical Pogamming ectue 6: The Simplex Method II 1 Outline Revised Simplex method Slide 1 The full tableau implementation Anticycling 2 Revised Simplex Initial data: A,
More informationF-IF Logistic Growth Model, Abstract Version
F-IF Logistic Gowth Model, Abstact Vesion Alignments to Content Standads: F-IFB4 Task An impotant example of a model often used in biology o ecology to model population gowth is called the logistic gowth
More informationAs is natural, our Aerospace Structures will be described in a Euclidean three-dimensional space R 3.
Appendix A Vecto Algeba As is natual, ou Aeospace Stuctues will be descibed in a Euclidean thee-dimensional space R 3. A.1 Vectos A vecto is used to epesent quantities that have both magnitude and diection.
More informationChapter 2: Introduction to Implicit Equations
Habeman MTH 11 Section V: Paametic and Implicit Equations Chapte : Intoduction to Implicit Equations When we descibe cuves on the coodinate plane with algebaic equations, we can define the elationship
More informationTHE NUMBER OF TWO CONSECUTIVE SUCCESSES IN A HOPPE-PÓLYA URN
TH NUMBR OF TWO CONSCUTIV SUCCSSS IN A HOPP-PÓLYA URN LARS HOLST Depatment of Mathematics, Royal Institute of Technology S 100 44 Stocholm, Sweden -mail: lholst@math.th.se Novembe 27, 2007 Abstact In a
More informationSTABILITY AND PARAMETER SENSITIVITY ANALYSES OF AN INDUCTION MOTOR
HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY VESZPRÉM Vol. 42(2) pp. 109 113 (2014) STABILITY AND PARAMETER SENSITIVITY ANALYSES OF AN INDUCTION MOTOR ATTILA FODOR 1, ROLAND BÁLINT 1, ATTILA MAGYAR 1, AND
More informationLight Time Delay and Apparent Position
Light Time Delay and ppaent Position nalytical Gaphics, Inc. www.agi.com info@agi.com 610.981.8000 800.220.4785 Contents Intoduction... 3 Computing Light Time Delay... 3 Tansmission fom to... 4 Reception
More informationAPPLICATION OF MAC IN THE FREQUENCY DOMAIN
PPLICION OF MC IN HE FREQUENCY DOMIN D. Fotsch and D. J. Ewins Dynamics Section, Mechanical Engineeing Depatment Impeial College of Science, echnology and Medicine London SW7 2B, United Kingdom BSRC he
More informationSchool of Electrical and Computer Engineering, Cornell University. ECE 303: Electromagnetic Fields and Waves. Fall 2007
School of Electical and Compute Engineeing, Conell Univesity ECE 303: Electomagnetic Fields and Waves Fall 007 Homewok 8 Due on Oct. 19, 007 by 5:00 PM Reading Assignments: i) Review the lectue notes.
More informationFUSE Fusion Utility Sequence Estimator
FUSE Fusion Utility Sequence Estimato Belu V. Dasaathy Dynetics, Inc. P. O. Box 5500 Huntsville, AL 3584-5500 belu.d@dynetics.com Sean D. Townsend Dynetics, Inc. P. O. Box 5500 Huntsville, AL 3584-5500
More informationA NEW GENERALIZED PARETO DISTRIBUTION. Abstract
NEW GENERLIZED PRETO DISTRIBUTION bd Elfattah,. M. * Elshepieny, E.. * Hussein, E.. * a_afattah@hotmail.com ahmedc55@hotmail.com bstact In this pape, we intoduce a new genealized Paeto distibution and
More informationBifurcation Routes and Economic Stability Miloslav S. Vosvrda
Bifucation Routes and Economic Stability Miloslav S. Vosvda Institute of Infomation Theoy and Automation, Academy of Sciences of the Czech Republic Institute of Economic Studies, Faculty of Social Sciences,
More informationAn Application of Fuzzy Linear System of Equations in Economic Sciences
Austalian Jounal of Basic and Applied Sciences, 5(7): 7-14, 2011 ISSN 1991-8178 An Application of Fuzzy Linea System of Equations in Economic Sciences 1 S.H. Nassei, 2 M. Abdi and 3 B. Khabii 1 Depatment
More informationSolution to Problem First, the firm minimizes the cost of the inputs: min wl + rk + sf
Econ 0A Poblem Set 4 Solutions ue in class on Tu 4 Novembe. No late Poblem Sets accepted, so! This Poblem set tests the knoledge that ou accumulated mainl in lectues 5 to 9. Some of the mateial ill onl
More informationMaterials selection The materials index
MME445: Lectue 20 Mateials selection The mateials index A. K. M. B. Rashid Pofesso, Depatment of MME BUET, Dhaka Leaning Objectives Knowledge & Undestanding Elementay knowledge of how to expess design
More informationState tracking control for Takagi-Sugeno models
State tacing contol fo Taagi-Sugeno models Souad Bezzaoucha, Benoît Max,3,DidieMaquin,3 and José Ragot,3 Abstact This wo addesses the model efeence tacing contol poblem It aims to highlight the encouteed
More informationON THE TWO-BODY PROBLEM IN QUANTUM MECHANICS
ON THE TWO-BODY PROBLEM IN QUANTUM MECHANICS L. MICU Hoia Hulubei National Institute fo Physics and Nuclea Engineeing, P.O. Box MG-6, RO-0775 Buchaest-Maguele, Romania, E-mail: lmicu@theoy.nipne.o (Received
More information( ) [ ] [ ] [ ] δf φ = F φ+δφ F. xdx.
9. LAGRANGIAN OF THE ELECTROMAGNETIC FIELD In the pevious section the Lagangian and Hamiltonian of an ensemble of point paticles was developed. This appoach is based on a qt. This discete fomulation can
More informationComputers and Mathematics with Applications
Computes and Mathematics with Applications 58 (009) 9 7 Contents lists available at ScienceDiect Computes and Mathematics with Applications jounal homepage: www.elsevie.com/locate/camwa Bi-citeia single
More informationExperiment I Voltage Variation and Control
ELE303 Electicity Netwoks Expeiment I oltage aiation and ontol Objective To demonstate that the voltage diffeence between the sending end of a tansmission line and the load o eceiving end depends mainly
More information2. The Munich chain ladder method
ntoduction ootstapping has become vey popula in stochastic claims eseving because of the simplicity and flexibility of the appoach One of the main easons fo this is the ease with which it can be implemented
More informationSwissmetro: design methods for ironless linear transformer
Swissmeto: design methods fo ionless linea tansfome Nicolas Macabey GESTE Engineeing SA Scientific Pak PSE-C, CH-05 Lausanne, Switzeland Tel (+4) 2 693 83 60, Fax. (+4) 2 693 83 6, nicolas.macabey@geste.ch
More informationAP Physics C: Electricity and Magnetism 2001 Scoring Guidelines
AP Physics C: Electicity and Magnetism 1 Scoing Guidelines The mateials included in these files ae intended fo non-commecial use by AP teaches fo couse and exam pepaation; pemission fo any othe use must
More informationKOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS
Jounal of Applied Analysis Vol. 14, No. 1 2008), pp. 43 52 KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS L. KOCZAN and P. ZAPRAWA Received Mach 12, 2007 and, in evised fom,
More informationStanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012
Stanfod Univesity CS59Q: Quantum Computing Handout 8 Luca Tevisan Octobe 8, 0 Lectue 8 In which we use the quantum Fouie tansfom to solve the peiod-finding poblem. The Peiod Finding Poblem Let f : {0,...,
More informationWaves and Polarization in General
Waves and Polaization in Geneal Wave means a distubance in a medium that tavels. Fo light, the medium is the electomagnetic field, which can exist in vacuum. The tavel pat defines a diection. The distubance
More informationWeb-based Supplementary Materials for. Controlling False Discoveries in Multidimensional Directional Decisions, with
Web-based Supplementay Mateials fo Contolling False Discoveies in Multidimensional Diectional Decisions, with Applications to Gene Expession Data on Odeed Categoies Wenge Guo Biostatistics Banch, National
More informationCOMPUTATIONS OF ELECTROMAGNETIC FIELDS RADIATED FROM COMPLEX LIGHTNING CHANNELS
Pogess In Electomagnetics Reseach, PIER 73, 93 105, 2007 COMPUTATIONS OF ELECTROMAGNETIC FIELDS RADIATED FROM COMPLEX LIGHTNING CHANNELS T.-X. Song, Y.-H. Liu, and J.-M. Xiong School of Mechanical Engineeing
More informationInternational Journal of Mathematical Archive-3(12), 2012, Available online through ISSN
Intenational Jounal of Mathematical Achive-3(), 0, 480-4805 Available online though www.ijma.info ISSN 9 504 STATISTICAL QUALITY CONTROL OF MULTI-ITEM EOQ MOEL WITH VARYING LEAING TIME VIA LAGRANGE METHO
More informationCBN 98-1 Developable constant perimeter surfaces: Application to the end design of a tape-wound quadrupole saddle coil
CBN 98-1 Developale constant peimete sufaces: Application to the end design of a tape-wound quadupole saddle coil G. Dugan Laoatoy of Nuclea Studies Conell Univesity Ithaca, NY 14853 1. Intoduction Constant
More informationGeometry of the homogeneous and isotropic spaces
Geomety of the homogeneous and isotopic spaces H. Sonoda Septembe 2000; last evised Octobe 2009 Abstact We summaize the aspects of the geomety of the homogeneous and isotopic spaces which ae most elevant
More informationHomework 7 Solutions
Homewok 7 olutions Phys 4 Octobe 3, 208. Let s talk about a space monkey. As the space monkey is oiginally obiting in a cicula obit and is massive, its tajectoy satisfies m mon 2 G m mon + L 2 2m mon 2
More informationThe geometric construction of Ewald sphere and Bragg condition:
The geometic constuction of Ewald sphee and Bagg condition: The constuction of Ewald sphee must be done such that the Bagg condition is satisfied. This can be done as follows: i) Daw a wave vecto k in
More informationGame Study of the Closed-loop Supply Chain with Random Yield and Random Demand
, pp.105-110 http://dx.doi.og/10.14257/astl.2014.53.24 Gae Study of the Closed-loop Supply Chain with ando Yield and ando Deand Xiuping Han, Dongyan Chen, Dehui Chen, Ling Hou School of anageent, Habin
More informationDonnishJournals
DonnishJounals 041-1189 Donnish Jounal of Educational Reseach and Reviews. Vol 1(1) pp. 01-017 Novembe, 014. http:///dje Copyight 014 Donnish Jounals Oiginal Reseach Pape Vecto Analysis Using MAXIMA Savaş
More informationST 501 Course: Fundamentals of Statistical Inference I. Sujit K. Ghosh.
ST 501 Couse: Fundamentals of Statistical Infeence I Sujit K. Ghosh sujit.ghosh@ncsu.edu Pesented at: 2229 SAS Hall, Depatment of Statistics, NC State Univesity http://www.stat.ncsu.edu/people/ghosh/couses/st501/
More informationINTRODUCTION. 2. Vectors in Physics 1
INTRODUCTION Vectos ae used in physics to extend the study of motion fom one dimension to two dimensions Vectos ae indispensable when a physical quantity has a diection associated with it As an example,
More informationFunctions Defined on Fuzzy Real Numbers According to Zadeh s Extension
Intenational Mathematical Foum, 3, 2008, no. 16, 763-776 Functions Defined on Fuzzy Real Numbes Accoding to Zadeh s Extension Oma A. AbuAaqob, Nabil T. Shawagfeh and Oma A. AbuGhneim 1 Mathematics Depatment,
More informationProblem set 6. Solution. The problem of firm 3 is. The FOC is: 2 =0. The reaction function of firm 3 is: = 2
Pobem set 6 ) Thee oigopoists opeate in a maket with invese demand function given by = whee = + + and is the quantity poduced by fim i. Each fim has constant magina cost of poduction, c, and no fixed cost.
More informationMULTILAYER PERCEPTRONS
Last updated: Nov 26, 2012 MULTILAYER PERCEPTRONS Outline 2 Combining Linea Classifies Leaning Paametes Outline 3 Combining Linea Classifies Leaning Paametes Implementing Logical Relations 4 AND and OR
More information1 Similarity Analysis
ME43A/538A/538B Axisymmetic Tubulent Jet 9 Novembe 28 Similaity Analysis. Intoduction Conside the sketch of an axisymmetic, tubulent jet in Figue. Assume that measuements of the downsteam aveage axial
More informationLab 10: Newton s Second Law in Rotation
Lab 10: Newton s Second Law in Rotation We can descibe the motion of objects that otate (i.e. spin on an axis, like a popelle o a doo) using the same definitions, adapted fo otational motion, that we have
More informationGrowth - lecture note for ECON1910
Gowth - lectue note fo ECON1910 Jøgen Heibø Modalsli Mach 11, 2008 This lectue note is meant as a supplement to the cuiculum, in paticula to Ray (1998). In some of the lectues I will use slightly diffeent
More informationMultiple Experts with Binary Features
Multiple Expets with Binay Featues Ye Jin & Lingen Zhang Decembe 9, 2010 1 Intoduction Ou intuition fo the poect comes fom the pape Supevised Leaning fom Multiple Expets: Whom to tust when eveyone lies
More informationNuclear size corrections to the energy levels of single-electron atoms
Nuclea size coections to the enegy levels of single-electon atoms Babak Nadii Nii a eseach Institute fo Astonomy and Astophysics of Maagha (IAAM IAN P. O. Box: 554-44. Abstact A study is made of nuclea
More informationis the instantaneous position vector of any grid point or fluid
Absolute inetial, elative inetial and non-inetial coodinates fo a moving but non-defoming contol volume Tao Xing, Pablo Caica, and Fed Sten bjective Deive and coelate the govening equations of motion in
More informationBounds on the performance of back-to-front airplane boarding policies
Bounds on the pefomance of bac-to-font aiplane boading policies Eitan Bachmat Michael Elin Abstact We povide bounds on the pefomance of bac-to-font aiplane boading policies. In paticula, we show that no
More informationVectors, Vector Calculus, and Coordinate Systems
Apil 5, 997 A Quick Intoduction to Vectos, Vecto Calculus, and Coodinate Systems David A. Randall Depatment of Atmospheic Science Coloado State Univesity Fot Collins, Coloado 80523. Scalas and vectos Any
More informationTHE INFLUENCE OF THE MAGNETIC NON-LINEARITY ON THE MAGNETOSTATIC SHIELDS DESIGN
THE INFLUENCE OF THE MAGNETIC NON-LINEARITY ON THE MAGNETOSTATIC SHIELDS DESIGN LIVIU NEAMŢ 1, ALINA NEAMŢ, MIRCEA HORGOŞ 1 Key wods: Magnetostatic shields, Magnetic non-lineaity, Finite element method.
More informationPerturbation to Symmetries and Adiabatic Invariants of Nonholonomic Dynamical System of Relative Motion
Commun. Theo. Phys. Beijing, China) 43 25) pp. 577 581 c Intenational Academic Publishes Vol. 43, No. 4, Apil 15, 25 Petubation to Symmeties and Adiabatic Invaiants of Nonholonomic Dynamical System of
More informationA Fuzzy Satisfactory Optimization Method Based on Stress Analysis for a Hybrid Composite Flywheel
Wold Academy of Science, Engineeing and Technology Intenational Jounal of Mateials and Metallugical Engineeing A Fuzzy Satisfactoy Optimization Method Based on Stess Analysis fo a Hybid Composite Flywheel
More informationHandout: IS/LM Model
Econ 32 - IS/L odel Notes Handout: IS/L odel IS Cuve Deivation Figue 4-4 in the textbook explains one deivation of the IS cuve. This deivation uses the Induced Savings Function fom Chapte 3. Hee, I descibe
More informationAppraisal of Logistics Enterprise Competitiveness on the Basis of Fuzzy Analysis Algorithm
Appaisal of Logistics Entepise Competitiveness on the Basis of Fuzzy Analysis Algoithm Yan Zhao, Fengge Yao, Minming She Habin Univesity of Commece, Habin, Heilongjiang 150028, China, zhaoyan2000@yahoo.com.cn
More informationAppendix B The Relativistic Transformation of Forces
Appendix B The Relativistic Tansfomation of oces B. The ou-foce We intoduced the idea of foces in Chapte 3 whee we saw that the change in the fou-momentum pe unit time is given by the expession d d w x
More informationMathematisch-Naturwissenschaftliche Fakultät I Humboldt-Universität zu Berlin Institut für Physik Physikalisches Grundpraktikum.
Mathematisch-Natuwissenschaftliche Fakultät I Humboldt-Univesität zu Belin Institut fü Physik Physikalisches Gundpaktikum Vesuchspotokoll Polaisation duch Reflexion (O11) duchgefüht am 10.11.2009 mit Vesuchspatne
More informationJANOWSKI STARLIKE LOG-HARMONIC UNIVALENT FUNCTIONS
Hacettepe Jounal of Mathematics and Statistics Volume 38 009, 45 49 JANOWSKI STARLIKE LOG-HARMONIC UNIVALENT FUNCTIONS Yaşa Polatoğlu and Ehan Deniz Received :0 :008 : Accepted 0 : :008 Abstact Let and
More informationDuality between Statical and Kinematical Engineering Systems
Pape 00, Civil-Comp Ltd., Stiling, Scotland Poceedings of the Sixth Intenational Confeence on Computational Stuctues Technology, B.H.V. Topping and Z. Bittna (Editos), Civil-Comp Pess, Stiling, Scotland.
More informationA Bijective Approach to the Permutational Power of a Priority Queue
A Bijective Appoach to the Pemutational Powe of a Pioity Queue Ia M. Gessel Kuang-Yeh Wang Depatment of Mathematics Bandeis Univesity Waltham, MA 02254-9110 Abstact A pioity queue tansfoms an input pemutation
More informationFALL 2006 EXAM C SOLUTIONS
FALL 006 EXAM C SOLUTIONS Question # Key: E With n + = 6, we need the 0.3(6) = 4.8 and 0.65(6) = 0.4 smallest obsevations. They ae 0.(80) + 0.8(350) = 336 and 0.6(450) + 0.4(490) = 466. The equations to
More informationCENTER FOR MULTIMODAL SOLUTIONS FOR CONGESTION MITIGATION (CMS)
Final Repot to the CENTER FOR MULTIMODAL SOLUTIONS FOR CONGESTION MITIGATION (CMS) CMS Poect Numbe: _8-4_ Title: Chaacteizing the Tadeoffs and Costs Associated with Tanspotation Congestion in Supply Chains
More informationThe second law of thermodynamics - II.
Januay 21, 2013 The second law of themodynamics - II. Asaf Pe e 1 1. The Schottky defect At absolute zeo tempeatue, the atoms of a solid ae odeed completely egulaly on a cystal lattice. As the tempeatue
More informationQIP Course 10: Quantum Factorization Algorithm (Part 3)
QIP Couse 10: Quantum Factoization Algoithm (Pat 3 Ryutaoh Matsumoto Nagoya Univesity, Japan Send you comments to yutaoh.matsumoto@nagoya-u.jp Septembe 2018 @ Tokyo Tech. Matsumoto (Nagoya U. QIP Couse
More informationINVESTIGATION OF THE OPERATIONAL MODAL ANALYSIS APPLICABILITY IN COMBUSTION ENGINE DIAGNOSTICS
INVESTIGATION OF THE OPERATIONAL MODAL ANALYSIS APPLICABILITY IN COMBUSTION ENGINE DIAGNOSTICS Macin Łukasiewicz Univesity of Technology and Life Science ul. S. Kaliskiego 7, 85-789 Bydgoszcz, Poland tel.:
More informationSupplementary Figure 1. Circular parallel lamellae grain size as a function of annealing time at 250 C. Error bars represent the 2σ uncertainty in
Supplementay Figue 1. Cicula paallel lamellae gain size as a function of annealing time at 50 C. Eo bas epesent the σ uncetainty in the measued adii based on image pixilation and analysis uncetainty contibutions
More informationProbablistically Checkable Proofs
Lectue 12 Pobablistically Checkable Poofs May 13, 2004 Lectue: Paul Beame Notes: Chis Re 12.1 Pobablisitically Checkable Poofs Oveview We know that IP = PSPACE. This means thee is an inteactive potocol
More informationInformation Retrieval Advanced IR models. Luca Bondi
Advanced IR models Luca Bondi Advanced IR models 2 (LSI) Pobabilistic Latent Semantic Analysis (plsa) Vecto Space Model 3 Stating point: Vecto Space Model Documents and queies epesented as vectos in the
More informationConservative Averaging Method and its Application for One Heat Conduction Problem
Poceedings of the 4th WSEAS Int. Conf. on HEAT TRANSFER THERMAL ENGINEERING and ENVIRONMENT Elounda Geece August - 6 (pp6-) Consevative Aveaging Method and its Application fo One Heat Conduction Poblem
More informationDescribing Circular motion
Unifom Cicula Motion Descibing Cicula motion In ode to undestand cicula motion, we fist need to discuss how to subtact vectos. The easiest way to explain subtacting vectos is to descibe it as adding a
More informationOptimum Settings of Process Mean, Economic Order Quantity, and Commission Fee
Jounal of Applied Science and Engineeing, Vol. 15, No. 4, pp. 343 352 (2012 343 Optiu Settings of Pocess Mean, Econoic Ode Quantity, and Coission Fee Chung-Ho Chen 1 *, Chao-Yu Chou 2 and Wei-Chen Lee
More informationRevision of Lecture Eight
Revision of Lectue Eight Baseband equivalent system and equiements of optimal tansmit and eceive filteing: (1) achieve zeo ISI, and () maximise the eceive SNR Thee detection schemes: Theshold detection
More informationA New Approach to General Relativity
Apeion, Vol. 14, No. 3, July 7 7 A New Appoach to Geneal Relativity Ali Rıza Şahin Gaziosmanpaşa, Istanbul Tukey E-mail: aizasahin@gmail.com Hee we pesent a new point of view fo geneal elativity and/o
More informationarxiv: v2 [math.ag] 4 Jul 2012
SOME EXAMPLES OF VECTOR BUNDLES IN THE BASE LOCUS OF THE GENERALIZED THETA DIVISOR axiv:0707.2326v2 [math.ag] 4 Jul 2012 SEBASTIAN CASALAINA-MARTIN, TAWANDA GWENA, AND MONTSERRAT TEIXIDOR I BIGAS Abstact.
More information9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic.
Chapte 9 Pimitive Roots 9.1 The multiplicative goup of a finite fld Theoem 9.1. The multiplicative goup F of a finite fld is cyclic. Remak: In paticula, if p is a pime then (Z/p) is cyclic. In fact, this
More informationMacro Theory B. The Permanent Income Hypothesis
Maco Theoy B The Pemanent Income Hypothesis Ofe Setty The Eitan Beglas School of Economics - Tel Aviv Univesity May 15, 2015 1 1 Motivation 1.1 An econometic check We want to build an empiical model with
More informationMitscherlich s Law: Sum of two exponential Processes; Conclusions 2009, 1 st July
Mitschelich s Law: Sum of two exponential Pocesses; Conclusions 29, st July Hans Schneebege Institute of Statistics, Univesity of Elangen-Nünbeg, Gemany Summay It will be shown, that Mitschelich s fomula,
More informationBASIC ALGEBRA OF VECTORS
Fomulae Fo u Vecto Algeba By Mi Mohammed Abbas II PCMB 'A' Impotant Tems, Definitions & Fomulae 01 Vecto - Basic Intoduction: A quantity having magnitude as well as the diection is called vecto It is denoted
More information6 PROBABILITY GENERATING FUNCTIONS
6 PROBABILITY GENERATING FUNCTIONS Cetain deivations pesented in this couse have been somewhat heavy on algeba. Fo example, detemining the expectation of the Binomial distibution (page 5.1 tuned out to
More informationSTUDY OF SOLUTIONS OF LOGARITHMIC ORDER TO HIGHER ORDER LINEAR DIFFERENTIAL-DIFFERENCE EQUATIONS WITH COEFFICIENTS HAVING THE SAME LOGARITHMIC ORDER
UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA doi: 104467/20843828AM170027078 542017, 15 32 STUDY OF SOLUTIONS OF LOGARITHMIC ORDER TO HIGHER ORDER LINEAR DIFFERENTIAL-DIFFERENCE EQUATIONS WITH COEFFICIENTS
More informationTHE JEU DE TAQUIN ON THE SHIFTED RIM HOOK TABLEAUX. Jaejin Lee
Koean J. Math. 23 (2015), No. 3, pp. 427 438 http://dx.doi.og/10.11568/kjm.2015.23.3.427 THE JEU DE TAQUIN ON THE SHIFTED RIM HOOK TABLEAUX Jaejin Lee Abstact. The Schensted algoithm fist descibed by Robinson
More informationIntroduction and Vectors
SOLUTIONS TO PROBLEMS Intoduction and Vectos Section 1.1 Standads of Length, Mass, and Time *P1.4 Fo eithe sphee the volume is V = 4! and the mass is m =!V =! 4. We divide this equation fo the lage sphee
More informationITI Introduction to Computing II
ITI 1121. Intoduction to Computing II Macel Tucotte School of Electical Engineeing and Compute Science Abstact data type: Stack Stack-based algoithms Vesion of Febuay 2, 2013 Abstact These lectue notes
More informationUnobserved Correlation in Ascending Auctions: Example And Extensions
Unobseved Coelation in Ascending Auctions: Example And Extensions Daniel Quint Univesity of Wisconsin Novembe 2009 Intoduction In pivate-value ascending auctions, the winning bidde s willingness to pay
More informationGoodness-of-fit for composite hypotheses.
Section 11 Goodness-of-fit fo composite hypotheses. Example. Let us conside a Matlab example. Let us geneate 50 obsevations fom N(1, 2): X=nomnd(1,2,50,1); Then, unning a chi-squaed goodness-of-fit test
More informationPhysics 221 Lecture 41 Nonlinear Absorption and Refraction
Physics 221 Lectue 41 Nonlinea Absoption and Refaction Refeences Meye-Aendt, pp. 97-98. Boyd, Nonlinea Optics, 1.4 Yaiv, Optical Waves in Cystals, p. 22 (Table of cystal symmeties) 1. Intoductoy Remaks.
More informationSteady State and Transient Performance Analysis of Three Phase Induction Machine using MATLAB Simulations
Intenational Jounal of Recent Tends in Engineeing, Vol, No., May 9 Steady State and Tansient Pefomance Analysis of Thee Phase Induction Machine using MATAB Simulations Pof. Himanshu K. Patel Assistant
More information1) (A B) = A B ( ) 2) A B = A. i) A A = φ i j. ii) Additional Important Properties of Sets. De Morgan s Theorems :
Additional Impotant Popeties of Sets De Mogan s Theoems : A A S S Φ, Φ S _ ( A ) A ) (A B) A B ( ) 2) A B A B Cadinality of A, A, is defined as the numbe of elements in the set A. {a,b,c} 3, { }, while
More informationPhys 201A. Homework 5 Solutions
Phys 201A Homewok 5 Solutions 3. In each of the thee cases, you can find the changes in the velocity vectos by adding the second vecto to the additive invese of the fist and dawing the esultant, and by
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department. Problem Set 10 Solutions. r s
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Depatment Physics 8.033 Decembe 5, 003 Poblem Set 10 Solutions Poblem 1 M s y x test paticle The figue above depicts the geomety of the poblem. The position
More informationHydroelastic Analysis of a 1900 TEU Container Ship Using Finite Element and Boundary Element Methods
TEAM 2007, Sept. 10-13, 2007,Yokohama, Japan Hydoelastic Analysis of a 1900 TEU Containe Ship Using Finite Element and Bounday Element Methods Ahmet Egin 1)*, Levent Kaydıhan 2) and Bahadı Uğulu 3) 1)
More information10/04/18. P [P(x)] 1 negl(n).
Mastemath, Sping 208 Into to Lattice lgs & Cypto Lectue 0 0/04/8 Lectues: D. Dadush, L. Ducas Scibe: K. de Boe Intoduction In this lectue, we will teat two main pats. Duing the fist pat we continue the
More informationRECTIFYING THE CIRCUMFERENCE WITH GEOGEBRA
ECTIFYING THE CICUMFEENCE WITH GEOGEBA A. Matín Dinnbie, G. Matín González and Anthony C.M. O 1 Intoducction The elation between the cicumfeence and the adius of a cicle is one of the most impotant concepts
More informationOn a quantity that is analogous to potential and a theorem that relates to it
Su une quantité analogue au potential et su un théoème y elatif C R Acad Sci 7 (87) 34-39 On a quantity that is analogous to potential and a theoem that elates to it By R CLAUSIUS Tanslated by D H Delphenich
More informationSyntactical content of nite approximations of partial algebras 1 Wiktor Bartol Inst. Matematyki, Uniw. Warszawski, Warszawa (Poland)
Syntactical content of nite appoximations of patial algebas 1 Wikto Batol Inst. Matematyki, Uniw. Waszawski, 02-097 Waszawa (Poland) batol@mimuw.edu.pl Xavie Caicedo Dep. Matematicas, Univ. de los Andes,
More informationGreen s Identities and Green s Functions
LECTURE 7 Geen s Identities and Geen s Functions Let us ecall The ivegence Theoem in n-dimensions Theoem 7 Let F : R n R n be a vecto field ove R n that is of class C on some closed, connected, simply
More information