1. A dependent variable is also known as a(n). a. explanatory variable b. control variable c. predictor variable d. response variable ANSWER:

Intercepts To find the y-intercept (b, fixed value or starting value), set x = 0 and solve for y. To find the x-intercept, set y = 0 and solve for x.

Units 4 an 5: Linear Relations partial variation iret variation Points on a Coorinate Gri (x-oorinate, y-oorinate) origin is (0, 0) "run, then jump" Interepts To fin the y-interept (, fixe value or starting

On the sustainability of collusion in Bertrand supergames with discrete pricing and nonlinear demand

PRA unih Personal RePE Arhive On the sustainability of ollusion in Bertran supergames with isrete priing an nonlinear eman Paul R. Zimmerman US Feeral Trae Commission 25. January 2010 Online at http://mpra.ub.uni-muenhen.e/20249/

Sensitivity Analysis of Resonant Circuits

1 Sensitivity Analysis of Resonant Ciruits Olivier Buu Abstrat We use first-orer perturbation theory to provie a loal linear relation between the iruit parameters an the poles of an RLC network. The sensitivity

Lesson 23: The Defining Equation of a Line

Student Outomes Students know that two equations in the form of ax + y = and a x + y = graph as the same line when a = = and at least one of a or is nonzero. a Students know that the graph of a linear

Econ 455 Answers - Problem Set Consider a small country (Belgium) with the following demand and supply curves for corn:

Spring 004 Eon 455 Harvey Lapan Eon 455 Answers - Problem Set 4 1. Consier a small ountry (Belgium with the ollowing eman an supply urves or orn: Supply = 4P s ; Deman = 1000 Assume Belgium an import steel

Supplementary Materials for A universal data based method for reconstructing complex networks with binary-state dynamics

Supplementary Materials for A universal ata ase metho for reonstruting omplex networks with inary-state ynamis Jingwen Li, Zhesi Shen, Wen-Xu Wang, Celso Greogi, an Ying-Cheng Lai 1 Computation etails

Topic 7: Convergence of Random Variables

Topic 7: Convergence of Ranom Variables Course 003, 2016 Page 0 The Inference Problem So far, our starting point has been a given probability space (S, F, P). We now look at how to generate information

PLANNING OF INSPECTION PROGRAM OF FATIGUE-PRONE AIRFRAME

Yu. aramonov, A. Kuznetsov ANING OF INSECTION ROGRAM OF FATIGUE RONE AIRFRAME (Vol. 2008, Deember ANNING OF INSECTION ROGRAM OF FATIGUE-RONE AIRFRAME Yu. aramonov, A. Kuznetsov Aviation Institute, Riga

CSIR-UGC NET/JRF JUNE - 6 PHYSICAL SCIENCES OOKLET - [A] PART. The raius of onvergene of the Taylor series epansion of the funtion (). The value of the ontour integral the anti-lokwise iretion, is 4z e

Determination the Invert Level of a Stilling Basin to Control Hydraulic Jump

Global Avane Researh Journal of Agriultural Siene Vol. (4) pp. 074-079, June, 0 Available online http://garj.org/garjas/inex.htm Copyright 0 Global Avane Researh Journals Full Length Researh Paper Determination

Transformations of Random Variables

Transformations of Ranom Variables September, 2009 We begin with a ranom variable an we want to start looking at the ranom variable Y = g() = g where the function g : R R. The inverse image of a set A,

LECTURE 6. Introduction to Econometrics. Hypothesis testing & Goodness of fit

LECTURE 6 Introduction to Econometrics Hypothesis testing & Goodness of fit October 25, 2016 1 / 23 ON TODAY S LECTURE We will explain how multiple hypotheses are tested in a regression model We will define

Variable Impedance Control with an Artificial Muscle Manipulator Using Instantaneous Force and MR Brake

1 IEEE/RSJ International Conferene on Intelligent Robots an Systems (IROS) November -7, 1. Tokyo, Japan ariable Impeane Control with an Artifiial Musle Manipulator Using Instantaneous Fore an MR Brake

Linear and quadratic approximation

Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function

In this assignment you will build a simulation of the presynaptic terminal.

9.16 Problem Set #2 In this assignment you will buil a simulation of the presynapti terminal. The simulation an be broken own into three parts: simulation of the arriving ation potential (base on the Hogkin-Huxley

LEARNING OBJECTIVES: UDOL.STES Discuss how mercury poisoning has affected the natural environment and human society.

Multiple Choie 1. What is the primary reason for the ourrene of merury in the human ody? a. It is iologially inative and dormant.. It provides vital iologial funtions in trae amounts.. It is needed to

5. Feynman Diagrams. Particle and Nuclear Physics. Dr. Tina Potter. Dr. Tina Potter 5. Feynman Diagrams 1

5. Feynman Diarams Partile an Nulear Physis Dr. Tina Potter 2017 Dr. Tina Potter 5. Feynman Diarams 1 In this setion... Introution to Feynman iarams. Anatomy of Feynman iarams. Allowe verties. General

Diagnostics of Linear Regression

Diagnostics of Linear Regression Junhui Qian October 7, 14 The Objectives After estimating a model, we should always perform diagnostics on the model. In particular, we should check whether the assumptions

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

A Modification of the Jarque-Bera Test. for Normality

Int. J. Contemp. Math. Sciences, Vol. 8, 01, no. 17, 84-85 HIKARI Lt, www.m-hikari.com http://x.oi.org/10.1988/ijcms.01.9106 A Moification of the Jarque-Bera Test for Normality Moawa El-Fallah Ab El-Salam

Covariances for Bivariate Selection Model Second-Step Estimates

Eon 240B, Fall 2001 Daniel MFadden Covarianes for Bivariate Seletion Model Seond-Step Estimates Consider the bivariate latent variable model with normal disturbanes, (1) y * = + C, w * = zα + σν, where

BNAD 276 Lecture 10 Simple Linear Regression Model

1 / 27 BNAD 276 Lecture 10 Simple Linear Regression Model Phuong Ho May 30, 2017 2 / 27 Outline 1 Introduction 2 3 / 27 Outline 1 Introduction 2 4 / 27 Simple Linear Regression Model Managerial decisions

Chapter 9. There are 7 out of 50 measurements that are greater than or equal to 5.1; therefore, the fraction of the

Pratie questions 6 1 a y i = 6 µ = = 1 i = 1 y i µ i = 1 ( ) = 95 = s n 95 555. x i f i 1 1+ + 5+ n + 5 5 + n µ = = = f 11+ n 11+ n i 7 + n = 5 + n = 6n n = a Time (minutes) 1.6.1.6.1.6.1.6 5.1 5.6 6.1

The Simple Regression Model. Simple Regression Model 1

The Simple Regression Model Simple Regression Model 1 Simple regression model: Objectives Given the model: - where y is earnings and x years of education - Or y is sales and x is spending in advertising

STRUCTURE AND ELECTRICAL PROPERTIES OF ELECTRON IRRADIATED CdSe THIN FILMS

Journal of Optoeletronis an Avane Materials ol. 6, o. 1, Marh 24, p. 113-119 STRUCTURE AD ELECTRICAL PROPERTIES OF ELECTRO IRRADIATED C THI FILMS L. Ion a*, S. Antohe a, M. Popesu b, F. Sarlat, F. Sava

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

On Predictive Density Estimation for Location Families under Integrated Absolute Error Loss

On Preitive Density Estimation for Loation Families uner Integrate Absolute Error Loss Tatsuya Kubokawa a, Éri Marhanb, William E. Strawerman a Department of Eonomis, University of Tokyo, 7-3- Hongo, Bunkyo-ku,

Methods of evaluating tests

Methods of evaluating tests Let X,, 1 Xn be i.i.d. Bernoulli( p ). Then 5 j= 1 j ( 5, ) T = X Binomial p. We test 1 H : p vs. 1 1 H : p>. We saw that a LRT is 1 if t k* φ ( x ) =. otherwise (t is the observed

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013

Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing

GEOMETRIC AND STOCHASTIC ERROR MINIMISATION IN MOTION TRACKING. Karteek Alahari, Sujit Kuthirummal, C. V. Jawahar, P. J. Narayanan

GEOMETRIC AND STOCHASTIC ERROR MINIMISATION IN MOTION TRACKING Karteek Alahari, Sujit Kuthirummal, C. V. Jawahar, P. J. Narayanan Centre for Visual Information Tehnology International Institute of Information

R13 SET - 1 PART-A. is analytic. c) Write the test statistic for the differences of means of two large samples. about z =1.

R3 SET - II B. Teh I Semester Regular Examinations, Jan - 5 COMPLEX VARIABLES AND STATISTICAL METHODS (Eletrial and Eletronis Engineering) Time: 3 hours Max. Marks: 7 Note:. Question Paper onsists of two

Characterisation of Balcony Spill Plume Entrainment using Physical Scale Modelling

Charaterisation of Balony Spill Plume Entrainment using Physial Sale Modelling ROGER HARRISON and MICHAEL SPEARPOINT Department of Civil and Natural Resoures Engineering University of Canterury Christhurh,

The numbers inside a matrix are called the elements or entries of the matrix.

Chapter Review of Matries. Definitions A matrix is a retangular array of numers of the form a a a 3 a n a a a 3 a n a 3 a 3 a 33 a 3n..... a m a m a m3 a mn We usually use apital letters (for example,

Low-Complexity Velocity Estimation in High-Speed Optical Doppler Tomography Systems

Low-Complexity Veloity Estimation in High-Spee Optial Doppler Tomography Systems Milos Milosevi, Wae Shwartzkopf, Thomas E. Milner, Brian L. Evans, an Alan C. Bovik Department of Eletrial an Computer Engineering

Implementing the Law of Sines to solve SAS triangles

Implementing the Law of Sines to solve SAS triangles June 8, 009 Konstantine Zelator Dept. of Math an Computer Siene Rhoe Islan College 600 Mount Pleasant Avenue Proviene, RI 0908 U.S.A. e-mail : kzelator@ri.eu

ECE 422 Power System Operations & Planning 7 Transient Stability

ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of

The Effects of Trade Liberalization in Textiles and Clothing on the Greek Market for Cotton Yarn: A Multi-Market Analysis

The Effets of Trae Liberalization in Textiles an Clothing on the Greek Market for Cotton Yarn: A Multi-Market Analsis Daakas Dimitrios Katraniis D. Stelios Contribute paper prepare for presentation at

Review Topic 4: Cubic polynomials

Review Topi : ui polynomials Short answer Fatorise Px ( ) = x + 5x + x- 9 into linear fators. The polynomial Px ( ) = x - ax + x- leaves a remainer of when it is ivie y ( x - ) an a remainer of - when

Biplots. Some ecological data to illustrate regression biplots

Biplot The biplot eten the iea of a imple atterplot of two variable to the ae of man variable, with the obetive of viualizing a maimum amount of information in the ata a poible. We firt look at how a regreion

The new concepts of measurement error s regularities and effect characteristics

The new concepts of measurement error s regularities an effect characteristics Ye Xiaoming[1,] Liu Haibo [3,,] Ling Mo[3] Xiao Xuebin [5] [1] School of Geoesy an Geomatics, Wuhan University, Wuhan, Hubei,

Wave Propagation through Random Media

Chapter 3. Wave Propagation through Random Media 3. Charateristis of Wave Behavior Sound propagation through random media is the entral part of this investigation. This hapter presents a frame of referene

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Using the Chain Rule In the previous section we focuse on the erivatives of composites an saw that THEOREM 20 (Chain Rule) Suppose that u = g(x) is ifferentiable

The Law of SINES. For any triangle (right, acute or obtuse), you may use the following formula to solve for missing sides or angles:

The Law of SINES The Law of SINES For any triangle (right, aute or otuse), you may use the following formula to solve for missing sides or angles: a sin = sin = sin Use Law of SINES when... you have 3

PN Code Tracking Loops

Wireless Information Transmission System Lab. PN Coe Traking Loops Institute of Communiations Engineering National Sun Yat-sen University Introution Coe synhronization is generally arrie out in two steps

Chapter 2: One-dimensional Steady State Conduction

1 Chapter : One-imensional Steay State Conution.1 Eamples of One-imensional Conution Eample.1: Plate with Energy Generation an Variable Conutivity Sine k is variable it must remain insie the ifferentiation

Math 151 Introduction to Eigenvectors

Math 151 Introdution to Eigenvetors The motivating example we used to desrie matrixes was landsape hange and vegetation suession. We hose the simple example of Bare Soil (B), eing replaed y Grasses (G)

MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) is. Spatial Degrees of Freedom of Large Distributed MIMO Systems and Wireless Ad Hoc Networks

22 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 3, NO. 2, FEBRUARY 23 Spatial Degrees of Freeom of Large Distribute MIMO Systems an Wireless A Ho Networks Ayfer Özgür, Member, IEEE, OlivierLévêque,

The Simple Regression Model. Part II. The Simple Regression Model

Part II The Simple Regression Model As of Sep 22, 2015 Definition 1 The Simple Regression Model Definition Estimation of the model, OLS OLS Statistics Algebraic properties Goodness-of-Fit, the R-square

Natural Convection Experiment Measurements from a Vertical Surface

OBJECTIVE Natural Convetion Experiment Measurements from a Vertial Surfae 1. To demonstrate te basi priniples of natural onvetion eat transfer inluding determination of te onvetive eat transfer oeffiient.

Acoustic Waves in a Duct

Aousti Waves in a Dut 1 One-Dimensional Waves The one-dimensional wave approximation is valid when the wavelength λ is muh larger than the diameter of the dut D, λ D. The aousti pressure disturbane p is

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion

Millennium Relativity Aeleration Composition he Relativisti Relationship between Aeleration and niform Motion Copyright 003 Joseph A. Rybzyk Abstrat he relativisti priniples developed throughout the six

UPPER-TRUNCATED POWER LAW DISTRIBUTIONS

Fratals, Vol. 9, No. (00) 09 World Sientifi Publishing Company UPPER-TRUNCATED POWER LAW DISTRIBUTIONS STEPHEN M. BURROUGHS and SARAH F. TEBBENS College of Marine Siene, University of South Florida, St.

finalsol.nb In my frame, I am at rest. So the time it takes for the missile to reach me is just 8µ106 km

finalsol.n Physis D, Winter 005 Final Exam Solutions Top gun a v enemy = 0.4 in my enemy's frame, v' missile = 0.7 0.4 + 0.7 so, in my frame, v missile = Å º 0.859 +H0.4 H0.7 (it must e less than!) In

He s Semi-Inverse Method and Ansatz Approach to look for Topological and Non-Topological Solutions Generalized Nonlinear Schrödinger Equation

Quant. Phys. Lett. 3, No. 2, 23-27 2014) 23 Quantum Physis Letters An International Journal http://x.oi.org/10.12785/qpl/030202 He s Semi-Inverse Metho an Ansatz Approah to look for Topologial an Non-Topologial

Conveyor trajectory discharge angles

University of Wollongong Researh Online Faulty of Engineering - Papers (Arhive) Faulty of Engineering and Information Sienes 007 Conveyor trajetory disharge angles David B. Hastie University of Wollongong,

A population of 50 flies is expected to double every week, leading to a function of the x

4 Setion 4.3 Logarithmi Funtions population of 50 flies is epeted to doule every week, leading to a funtion of the form f ( ) 50(), where represents the numer of weeks that have passed. When will this

ECON The Simple Regression Model

ECON 351 - The Simple Regression Model Maggie Jones 1 / 41 The Simple Regression Model Our starting point will be the simple regression model where we look at the relationship between two variables In

E R K HIGHER SECONDARY SCHOOL ERUMIYAMPATTI PART III- MATHEMATICS (English Version) Time Allowed: 3 hours Maximum Marks: 200

www.paasalai.net E R K HIGHER SECONDARY SCHOOL ERUMIYAMPATTI PART III- MATHEMATICS (English Version) Time Allowe: hours Maimum Marks: SECTION- A NOTE: Choose the most suitable answer from the given four

Simultaneous and Sequential Auctions of Oligopoly Licenses

Simultaneous an Sequential Autions of Oligopoly Lienses Georgios Katsenos Institut für Mikroökonomik, Leibniz Universität Hannover September 1, 2007 Abstrat This paper ompares two proeures for alloating

Zero-Free Region for ζ(s) and PNT

Contents Zero-Free Region for ζs an PN att Rosenzweig Chebyshev heory ellin ransforms an Perron s Formula Zero-Free Region of Zeta Funtion 6. Jensen s Inequality..........................................

On the Reverse Problem of Fechnerian Scaling

On the Reverse Prolem of Fehnerian Saling Ehtiar N. Dzhafarov Astrat Fehnerian Saling imposes metris on two sets of stimuli relate to eah other y a isrimination funtion sujet to Regular Minimality. The

Introduction to the Vlasov-Poisson system

Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

Designing Against Size Effect on Shear Strength of Reinforced Concrete Beams Without Stirrups

Designing Against Size Effet on Shear Strength of Reinfore Conrete Beams Without Stirrups By Zeněk P. Bažant an Qiang Yu Abstrat: The shear failure of reinfore onrete beams is a very omplex frature phenomenon

Use of prior information in the form of interval constraints for the improved estimation of linear regression models with some missing responses

Journal of Statistial Planning and Inferene 136 (2006) 2430 2445 www.elsevier.om/loate/jspi Use of prior information in the form of interval onstraints for the improved estimation of linear regression

A simplified shear strength evaluation model for reinforced concrete corbels

Computational Metos an Experimental Measurements XIII 537 A simplifie sear strengt ealuation moel for reinfore onrete orbels J. K. Lu 1, S. Y. Kuo 2, J. Y. Lin 1 & S. H. Hsu 3 1 Department of Ciil Engineering,

Analysis of Leakage Paths Induced by Longitudinal Differential Settlement of the Shield-driven Tunneling

2016 rd International Conferene on Engineering Tehnology and Appliation (ICETA 2016) ISBN: 978-1-60595-8-0 Analysis of Leakage Paths Indued by Longitudinal Differential Settlement of the Shield-driven

Linear Capacity Scaling in Wireless Networks: Beyond Physical Limits?

Linear Capaity Saling in Wireless Networks: Beyon Physial Limits? Ayfer Özgür, Olivier Lévêque EPFL, Switzerlan {ayfer.ozgur, olivier.leveque}@epfl.h Davi Tse University of California at Berkeley tse@ees.berkeley.eu

Supplementary information for: All-optical signal processing using dynamic Brillouin gratings

Supplementary information for: All-optial signal proessing using dynami Brillouin gratings Maro Santagiustina, Sanghoon Chin 2, Niolay Primerov 2, Leonora Ursini, Lu Thévena 2 Department of Information

Stochastic Analysis of a Compound Redundant System Involving Human Failure

Journal of Matheatis an Statistis (3): 47-43, 6 ISSN 549-3644 6 Siene Publiations Stohasti nalysis of a Copoun Reunant Syste Involving uan Failure Ritu Gupta, S.. Mittal an 3 C. M. Batra,3 Departent of

23.1 Tuning controllers, in the large view Quoting from Section 16.7:

Lesson 23. Tuning a real ontroller - modeling, proess identifiation, fine tuning 23.0 Context We have learned to view proesses as dynami systems, taking are to identify their input, intermediate, and output

ECON 450 Development Economics

ECON 450 Development Economics Statistics Background University of Illinois at Urbana-Champaign Summer 2017 Outline 1 Introduction 2 3 4 5 Introduction Regression analysis is one of the most important

GT ON-LINE PERFORMANCE MONITORING AND ENGINE DIAGNOSTIC USING ROBUST KALMAN FILTERING TECHNIQUES

Proeedings of GT23 23 ASME TURBO EXPO June 6-9, 23, Atlanta, Georgia USA GT23-38379 ON-LINE PERFORMANCE MONITORING AND ENGINE DIAGNOSTIC USING ROBUST KALMAN FILTERING TECHNIQUES Pierre Dewallef Turomahinery

Development of Fuzzy Extreme Value Theory. Populations

Applied Mathematial Sienes, Vol. 6, 0, no. 7, 58 5834 Development of Fuzzy Extreme Value Theory Control Charts Using α -uts for Sewed Populations Rungsarit Intaramo Department of Mathematis, Faulty of

Mathematics II. Tutorial 5 Basic mathematical modelling. Groups: B03 & B08. Ngo Quoc Anh Department of Mathematics National University of Singapore

Mathematis II Tutorial 5 Basi mathematial modelling Groups: B03 & B08 February 29, 2012 Mathematis II Ngo Quo Anh Ngo Quo Anh Department of Mathematis National University of Singapore 1/13 : The ost of

The Role of Models in Model-Assisted and Model- Dependent Estimation for Domains and Small Areas

The Role of Moels in Moel-Assiste an Moel- Depenent Estimation for Domains an Small Areas Risto Lehtonen University of Helsini Mio Myrsylä University of Pennsylvania Carl-Eri Särnal University of Montreal

The influence of upstream weir slope on live-bed scour at submerged weir

The influene of upstream weir slope on live-be sour at submerge weir L. Wang, B.W. Melville & H. Frierih Department of Civil an Environmental Engineering, University of Auklan, New Zealan ABSTRACT: Shape

Normative and descriptive approaches to multiattribute decision making

De. 009, Volume 8, No. (Serial No.78) China-USA Business Review, ISSN 57-54, USA Normative and desriptive approahes to multiattribute deision making Milan Terek (Department of Statistis, University of

Analysis of Variance (ANOVA) one way

Analysis of Variane (ANOVA) one way ANOVA General ANOVA Setting "Slide 43-45) Investigator ontrols one or more fators of interest Eah fator ontains two or more levels Levels an be numerial or ategorial

Controller Design Based on Transient Response Criteria. Chapter 12 1

Controller Design Based on Transient Response Criteria Chapter 12 1 Desirable Controller Features 0. Stable 1. Quik responding 2. Adequate disturbane rejetion 3. Insensitive to model, measurement errors

Logarithmic spurious regressions

Logarithmic spurious regressions Robert M. e Jong Michigan State University February 5, 22 Abstract Spurious regressions, i.e. regressions in which an integrate process is regresse on another integrate

Econometrics Multiple Regression Analysis: Heteroskedasticity

Econometrics Multiple Regression Analysis: João Valle e Azevedo Faculdade de Economia Universidade Nova de Lisboa Spring Semester João Valle e Azevedo (FEUNL) Econometrics Lisbon, April 2011 1 / 19 Properties

On the Performance of Interference Cancellation in D2D-enabled Cellular Networks

On the erformane of Interferene Canellation in DD-enable Cellular Networks Chuan Ma, Weijie Wu, Ying Cui, Xinbing Wang Abstrat Devie-to-evie DD ommuniation unerlaying ellular networks is a promising tehnology

Taste for variety and optimum product diversity in an open economy

Taste for variety and optimum produt diversity in an open eonomy Javier Coto-Martínez City University Paul Levine University of Surrey Otober 0, 005 María D.C. Garía-Alonso University of Kent Abstrat We

Some Examples. Uniform motion. Poisson processes on the real line

Some Examples Our immeiate goal is to see some examples of Lévy processes, an/or infinitely-ivisible laws on. Uniform motion Choose an fix a nonranom an efine X := for all (1) Then, {X } is a [nonranom]

Supplementary Materials

Supplementary Materials Neural population partitioning and a onurrent brain-mahine interfae for sequential motor funtion Maryam M. Shanehi, Rollin C. Hu, Marissa Powers, Gregory W. Wornell, Emery N. Brown

Industrial Management & Data Systems

Inustrial Management & Data Systems Supply Chain Contrating Coorination for Fresh Prouts with Fresh-Keeping Effort Inustrial Management & Data Systems Journal: Inustrial Management & Data Systems Manusript

Performing Two-Way Analysis of Variance Under Variance Heterogeneity

Journal of Modern Applied Statistial Methods Volume Issue Artile 3 5--003 Performing Two-Way Analysis of Variane Under Variane Heterogeneity Sott J. Rihter University of North Carolina at Greensboro, sjriht@ung.edu

Journal of Theoretical Biology

Journal of Theoretial Biology 283 (2011) 145 151 Contents lists available at SieneDiret Journal of Theoretial Biology journal homepage: www.elsevier.om/loate/yjtbi Colletive motion from loal attration

Economics 113. Simple Regression Assumptions. Simple Regression Derivation. Changing Units of Measurement. Nonlinear effects

Economics 113 Simple Regression Models Simple Regression Assumptions Simple Regression Derivation Changing Units of Measurement Nonlinear effects OLS and unbiased estimates Variance of the OLS estimates

arxiv: v1 [cs.ds] 31 May 2017

Succinct Partial Sums an Fenwick Trees Philip Bille, Aners Roy Christiansen, Nicola Prezza, an Freerik Rye Skjoljensen arxiv:1705.10987v1 [cs.ds] 31 May 2017 Technical University of Denmark, DTU Compute,

Fast Evaluation of Canonical Oscillatory Integrals

Appl. Math. Inf. Si. 6, No., 45-51 (01) 45 Applie Mathematis & Information Sienes An International Journal 01 NSP Natural Sienes Publishing Cor. Fast Evaluation of Canonial Osillatory Integrals Ying Liu

The optimization of kinematical response of gear transmission

Proeeings of the 7 WSEAS Int. Conferene on Ciruits, Systems, Signal an Teleommuniations, Gol Coast, Australia, January 7-9, 7 The optimization of inematial response of gear transmission VINCENZO NIOLA

Damage Evaluation of Core Concrete by AE

www.rl.issres.net Vol. 2 (3) Sep. 2011 Damage valuation of Core Conrete by A Tetsuya Suzuki 1 and Masayasu Ohtsu 2 1 Faulty of Agriulture Niigata University, JAPAN 2 Graduate Shool of Siene and Tehnology

Journal of Mathematical Analysis and Applications

J. Math. Anal. Appl. 371 (010) 759 763 Contents lists available at SieneDiret Journal of Mathematial Analysis an Appliations www.elsevier.om/loate/jmaa Singular Sturm omparison theorems Dov Aharonov, Uri

Zero-Knowledge Protocols

he People Zero-Knowlege Protools 2 he wars Prover (Peggy) Claim I Verifier (Vi) S Seret Deision 2 {true, false} zero-knowlege protool allows Peggy to Convine Vi that her laim is true an that she knows

Chapter Review of of Random Processes

Chapter.. Review of of Random Proesses Random Variables and Error Funtions Conepts of Random Proesses 3 Wide-sense Stationary Proesses and Transmission over LTI 4 White Gaussian Noise Proesses @G.Gong

The Complete Energy Translations in the Detailed. Decay Process of Baryonic Sub-Atomic Particles. P.G.Bass.

The Complete Energy Translations in the Detailed Deay Proess of Baryoni Su-Atomi Partiles. [4] P.G.Bass. PGBass P12 Version 1..3 www.relativitydomains.om August 218 Astrat. This is the final paper on the

COMPUTER METHODS FOR THE DETERMINATION OF THE CRITICAL PARAMETERS OF POLLUTED INSULATORS

COMPUTER METHODS FOR THE DETERMINATION OF THE CRITICAL PARAMETERS OF POLLUTED INSULATORS I. F. GONOS S. A. SUFLIS F. V. TOPALIS I.A. STATHOPULOS NATIONAL TECHNICAL UNIVERSITY OF ATHENS DEPARTMENT OF ELECTRICAL

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

Understanding Line-Edge Roughness Problems with Metrology. Chris Mack

Understanding ine-edge Roughness Problems with Metrology Chris Mak www.lithoguru.om Outline Measuring line-edge roughness (ER) Any attempt to understand ER begins with data Soures of bias in ER measurement