DISTRIBUTED BY: mh. National Technical Information Service U. S. DEPARTMENT OF COMMERCE 5285 Port Royal Road. Springfield Va.
|
|
- Phebe Watkins
- 5 years ago
- Views:
Transcription
1 " ^ AD STATISTICAL ESTIMATION OF THE COEFFI CIENT OF PAIRWISE COMPATIBILITY FOR MENU ITEMS Joseph L. Balintfy, et al Massachusetts University Pre pare d for: Office of Naval Research August 1973 DISTRIBUTED BY: mh National Technical Information Service U. S. DEPARTMENT OF COMMERCE 5285 Port Royal Road. Springfield Va _MMM i - i <
2 mi lamn in i -, I I o STATISTICAL ESTIMATION OF THE COEFFICIENT OF PAIRWISE COMPATIBILITY FOR MENU ITEMS by I ^ 1 I *; Joseph L. Balintfy and Ram C. Dahiya R«procJu{«d bp NATIONAL TECHNICAL INFORMATION SERVICE U S D^pa'l^»"«r.l Con.mtft, Spnngli.M VA 2J:3I n ' '.. 1 i-zb-'fjl^
3 1 ' - "F'" "'" i i. itimiwmmm*^ " m*mm*mm*m*im^*rtrmm*mmrmmm MUM STATISTICAL ESTIMATION OF THE COEFFICIENT OF PAIRWISE COMPATIBILITY FOR MENU ITEMS by Joseph L. Ballntfy and Ram C, Dahlya.. Technical Report No. 10 August, 1973 I i; Prepared under Contract N A (NR ) for the Office of Naval Research Reproduction In Whole or In Part Is Permitted for any Purpose of the United States Government This document has been approved for public release and sale; its distribution is unlimited i I I i School of Business Administration Department of General Business and Finance and Schi-ol of Natural Sciences and Mathematics Department of Mathematics and Statistics University of Massachusetts Amtierst, Massachusetts Il D D C nrpftts E. SEP io m - B ^ i
4 I ( ^' "'" " ' ' wwnmimphwllii mi» UnclaHBlfled Srt'inlt i l.i..ill,.in n DOCUMENT CONTROL DATA R&D *>*< unit i la* iihi attan! tiiiu, i... u ut ab*fiin i itttti ihür*<",' n K'H! hr 0nt*'**t»hi»/! '' tivttjll 'i-fnitt f i ( I.* ili*,it I QHiiiIHA 1I*4Q AC rivitv t.ifp'ifjlm atlthitf) School of BualncuH Administration University of Massachusetts at Amherst I M. MO" ' Tl TLf i». «l 'IM I M. ul.i I. ( I».,1. i. «I Mj.. Unclassified ib onoum Not Applicable Statistical Estlnmtlon of the Coefficient of Palrwlse Compatibility for Menu Items. * OKlCHiBri^fNorKi (Typ» "I rtpoit *n<j iiuluovv.(..i.-u Technical Report No. 10. August % *u rmo^dl (FlfH nmm0. innljim inntmt. Imti nttm») Joseph L. Ballntfy, Ram C. Dahlya S MCPORT QA11 August, 1973 tm. TOTAL NO or PACK* 21 7b. NO OF Ml F» («. CONTHACT O«GRANT NO N A b. PBOJCC T NO NR «A. ORIOINATOn** HCPORT NUMBERHI Technical Report No. 10 tb. OTHEK «t "OR T NOISI (Any other numban r>i»l may b* mtblgntd Ihtt npotl) Not Applicable 10 OltTRISUTION ST ATCMCN T This document has been approved for public release and sale; its distribution is unlimited. II tupplcmcntarv NOTES \t SPONSORING WII.I T ARV ACTIVITY Not Applicable Office of Naval Research, Washington, D.C, II ABSTRACT The coefficient of compatibility between two menu items is defined as the difference between the conditional and marginal probabilities of selecting one after the other. Maximum likelihood estimates from selection statistics are given, and the asymptotic distribution of the estimator is determined so that test of null hypothesis and confidence intervals regarding the coefficients can be obtained. A method Is described for building data base for large joint probability matrices from menu selection data. DD. F N 0 O R :J473 S/N OI01-e07-6BO1,PAGE,, I*. UnclaaaiUett Secunly CUssi(ica lion.jimk I
5 I 4 Unclassified Srcuuty Clas slhc at o n KEY WOAOS - LtN K 4 LIN I( 8,_,,.. AO I.. WT A Ol. WT RO I.. E Food Preference ~1enu Planning Mathemati cal Statistics Food Service Data Banks D 0,F.,OoRv 14 u (BACK) (PAGE 2) tb -~- -. Unclassified ~cu rity Classifi ca t io n
6 ' I"" 'I --ii". -. -,..» imemflhta..^1..,.. r STATISTICAL ESTIMATION OF THE COEFFICIENT OF FAIRWISE COMPATIBILITY FOR MENU ITEMS by Joseph L. Ballntfy and Ram C. Dahiya I INTRODUCTION With recent advancements In the art of representing food and meal preferences by mathematical models [ 2 ] along with the possibilities of defining and solving optimum human diet problems by mathematical programming techniques [ 1 ], difficult questions emerge concerning the role and : measurability of compatibility between menu items. A meal selected by, or planned for an Individual usually consists of a set of menu items which are mutually complementary in the sense that each Item represents one of the courses of the meal. It is tempting to consider the utility of a meal in terms of the utilities of its components. Recent results in multlattrlbute utility theory open the way for a variety of representations, and this is where the issue of compatibility comes in. The'simplest additive utility model would Imply that the utility of a meal is equal to some weighted sum of the unlvarlate utilities of the menu items in the meal. Addltivity, therefore, means that the utility of the meal is completely explained by the utilities of the items irrespective -1-
7 " ' ' - - " T 1 "- - - ^ of their relative combination. whelming that this Is not so. Empirical evidence { 5 ] Is, however, over- People find some combinations of Items more or less compatible than others, meaning that compatibility Is also a factor In the utility of a meal. If the set of menu Items under consideration Is preference and therefore utility Independent, a measure of compatablllty can be derived from the multlattribute utility model of Keeney [6 ]. This model expresses the utility of a meal as a weighted sum of additive utilities plus a weighted sun of all possible crossproducts of unlvarlate utilities. Depending upon the sign of the coefficients, this second sum may Increase or decrease the value of additive utilities, and hence would represent the effect of compat- ibility In a given combination of items. Unfortunately, again, utility independence can not be assumed to be true for any set of menu items, and not even for any set of pairwlse combinations of items. Consequently, re- search is still in progress to find the appropriate expression of compatibility in utility terms. In a recent report by Ballntfy and Sinha [ 3 ] a meal planning model is presented which does not require the representation of compatibility of menu items in the utility measure of the meals. The idea is advanced that a mathematical programming model which maximizes an additive utility function could determine which items would be most liked by a given population In a given time period, and from this fixed set of items a separate scheduling activity could combine the items into a sequence oi' neals on the criterion of compatibility alone. This way the concepts of the utility and compati- bility of a meal ate conveniently separated; the first being included only -2- mmnm --- '
8 PWWWWWW1iW* ll^",^^^* lw^^l^^w"^^^^''^ ' " ' " in the objective function addlllvely, while the second appears among the scheduling constraints, and hence Is no longer linked directly to utility measures. Consequently, it can be represented by any measure for which data collection is feasible. This paper suggests the introduction of a statistical measure for compatibility of menu items in the form of a coefficient of pairwise compatibility of menu items. This coefficient is defined on a cartesian product set of two sets of menu items where the sets under consideration are identified with two nonidentical courses of the meal., such as entrees and vegetables. Limiting the notion of compatibility to pairwise compatibility alone is arbitrary, but it is the first step of the investigation which may lead Co further extensions later. The first part of the paper provides the deifinitlon, some properties and examples of the coefficient of pairwise compatibility. The second part describes the method of estimation and the probability distribution of the estimator. The last part is devoted to the techniques of estimating I I I I I coefficients for the whole cartesian product set from subsets of data as it is usually available through a sequence of selective menu schedules. The application of this coefficient to menu scheduling algorithms and experience with data collection will be the subject of later reports. -3-
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
W Hw «-»»"«"-r. AD A NOTE ON EXCHANGES IN MATROID BASES Harold Gabow, et al Texas University
-»-»-» -r - i mm.^ I»I «i i]11 m,»mj i BIII. 11 i ^ ^uiimn.iiiijp^i W Hw «-»»"«"-r AD-784 0 19 A NOTE ON EXCHANGES IN MATROID BASES Harold Gabow, et al Texas University Prep are d for: Naval Personnel
More informationKULTIWAVELENGTH LASER PROPAGATION STUDY ~ III. Quarterly Progress Report No. h March 16, June 15, J. Richard Kerr
CO o KULTIWAVELENGTH LASER PROPAGATION STUDY ~ III i> Quarterly Progress Report No. h March 16, 1971 - June 15, 1971 J. Richard Kerr Oregon Graduate Center for Study and Research Portland, Oregon July,
More informationUse of Wijsman's Theorem for the Ratio of Maximal Invariant Densities in Signal Detection Applications
Use of Wijsman's Theorem for the Ratio of Maximal Invariant Densities in Signal Detection Applications Joseph R. Gabriel Naval Undersea Warfare Center Newport, Rl 02841 Steven M. Kay University of Rhode
More informationA0A TEXAS UNIV AT AUSTIN DEPT OF CHEMISTRY F/G 7/5 PHOTOASSISTED WATER-GAS SHIFT REACTION ON PLATINIZED T7TANIAI T--ETCIUI
AA113 878 TEXAS UNIV AT AUSTIN DEPT OF CHEMISTRY F/G 7/5 PHOTOASSISTED WATER-GAS SHIFT REACTION ON PLATINIZED T7TANIAI T--ETCIUI APR 82 S FANG. 8 CHEN..J M WHITE N14-75-C-922 UNCLASSIFIED NL OFFICE OF
More informationurn DISTRIBUTED BY: National Technical Information Service U. S. DEPARTMENT OF COMMERCE Prepared for: Army Research Office October 1975 AD-A
- MMHH^MiM^^MaMBMMMHH AD-A017 637 AN EXTENSION OF ERLANG'S LOSS FORMULA Ronald W. Wolff, et a1 California University Prepared for: Army Research Office October 1975 urn DISTRIBUTED BY: National Technical
More informationCSE 421 Dynamic Programming
CSE Dynamic Programming Yin Tat Lee Weighted Interval Scheduling Interval Scheduling Job j starts at s(j) and finishes at f j and has weight w j Two jobs compatible if they don t overlap. Goal: find maximum
More informationOF NAVAL RESEARCH. Technical Report No. 87. Prepared for Publication. in the.. v.. il and/or -- c Spocial Journal of Elactroanalytical Chemistry it
,~OFFICE OF NAVAL RESEARCH Contract N00014-86-K-0556 Technical Report No. 87. Th., Combined Influence of Solution Resistance and Charge-Transfer Kinetics on Microelectrode Cyclic Voltammetry oo i Acee'ic
More informationOFFICE OF NAVAL RESEARCH. Contract Nonr-4756(07) Task No. NR Determination of the Rate Constants
OFFICE OF NAVAL RESEARCH a Contract Nonr-4756(07) Task No. NR 015-816 CD O I - J > HI l! Determination of the Rate Constants of the Intersyntem Crossing Processes to the Individual Multlplets of the Lowest
More informationA MARTINGALE INEQUALITY FOR THE SQUARE AND MAXIMAL FUNCTIONS LOUIS H.Y. CHEN TECHNICAL REPORT NO. 31 MARCH 15, 1979
A MARTINGALE INEQUALITY FOR THE SQUARE AND MAXIMAL FUNCTIONS BY LOUIS H.Y. CHEN TECHNICAL REPORT NO. 31 MARCH 15, 1979 PREPARED UNDER GRANT DAAG29-77-G-0031 FOR THE U.S. ARMY RESEARCH OFFICE Reproduction
More informationDISTRIBUTED BY: National Technical Information Service U. S. DEPARTMENT OF COMMERCE 5285 Port Royal Road. Springfield Va.
'" I " " "" ll '" I'" ' " P"-' I II -«...-.,. ' M»^..l^..l I! Ilium llljlll '^' '^'^ " " '!»"I AD-757 354 SYMMETRIC SIMPLE GAMES Robert James Weber Cornell University Prepared for: Office of Naval Research
More informationAD-A FATION PAGE cmb No SUPPLEMENTARY NOTESlIII lllll II ili JUN PRICE CODE
Form Approved AD-A252 270 FATION PAGE cmb No. 0704-0188 ge I~ uour oer resorse. including tile time for reviewing instructions. searchng existing cata sourcf-.. 'r, P 'llecicon o0 of information Send Commintsr
More informationTHE COVARIANCE MATRIX OF NORMAL ORDER STATISTICS. BY C. S. DAVIS and M. A. STEPHENS TECHNICAL REPORT NO. 14 FEBRUARY 21, 1978
THE COVARIANCE MATRIX OF NORMAL ORDER STATISTICS BY C. S. DAVIS and M. A. STEPHENS TECHNICAL REPORT NO. 14 FEBRUARY 21, 1978 PREPARED UNDER GRANT DAAG29-77-G-0031 FOR THE U.S. ARMY RESEARCH OFFICE Reproduction
More informationUNCLASSIFIED UNCLASSIFIED DEFENSE DOCUMENTATION CENTER SCIENTIFIC AND TECHNICAL INFORMATION FOR CAMERON STATION ALEXANDRIA VIRGINIA
UNCLASSIFIED AD DEFENSE DOCUMENTATION CENTER FOR SCIENTIFIC AND TECHNICAL INFORMATION CAMERON STATION ALEXANDRIA VIRGINIA DOWHGRADED AT 3 TOAR INTERVALS: DECLASSIFIED ATTER 12 YEARS DOD DIR 520010 UNCLASSIFIED
More informationAn Invariance Property of the Generalized Likelihood Ratio Test
352 IEEE SIGNAL PROCESSING LETTERS, VOL. 10, NO. 12, DECEMBER 2003 An Invariance Property of the Generalized Likelihood Ratio Test Steven M. Kay, Fellow, IEEE, and Joseph R. Gabriel, Member, IEEE Abstract
More informationCSE 421 Weighted Interval Scheduling, Knapsack, RNA Secondary Structure
CSE Weighted Interval Scheduling, Knapsack, RNA Secondary Structure Shayan Oveis haran Weighted Interval Scheduling Interval Scheduling Job j starts at s(j) and finishes at f j and has weight w j Two jobs
More informationMi] AD-A ON THE DEFLECTION OF PROJECTILES DUE TO ROTATION OF THE EARTH. G. Preston Burns
; '" ' - - " ''T^^^imi^mrrf^'yf^^vfr^'.«*... AD-A010 816 ON THE DEFLECTION OF PROJECTILES DUE TO ROTATION OF THE EARTH G. Preston Burns Naval Surface Weapons Center Dahlgren Laboratory, Virginia June 1975
More informationNORWEGIAN SEISMIC ARRAY NORSAR ESD ACCESSION LIST, Approv. Royal Norwegian Council for Scientific and Industrial Research. Copy No.
ESD-TR-73-(23 & o 03 Royal Norwegian Council for Scientific and Industrial Research ESD ACCESSION LIST, DR> call No. t fl± Copy No. of _cys, OS O OSLO Approv.. 1.I-- I Wilimifarl. DATA CENTER h\) W">f
More informationISO Lead Auditor Lean Six Sigma PMP Business Process Improvement Enterprise Risk Management IT Sales Training
Training Calendar 2014 Public s (ISO LSS PMP BPI ERM IT Sales Training) (ISO, LSS, PMP, BPI, ERM, IT, Sales Public s) 1 Schedule Registration JANUARY IMS ) FEBRUARY 2 days 26 JAN 27 JAN 3 days 28 JAN 30
More informationMAE Probability and Statistical Methods for Engineers - Spring 2016 Final Exam, June 8
MAE 18 - Probability and Statistical Methods for Engineers - Spring 16 Final Exam, June 8 Instructions (i) One (two-sided) cheat sheet, book tables, and a calculator with no communication capabilities
More informationDISYRI'3UTED BY: National Technical Information Service U. S. DEPARTMENT OF COMMERCE 5282 Port Royal Road, Springfield Va.
AD-753 391 CHEMICAL MODIFICATIONS OF SILICA SURFACES Manfred J. D. Low New York University Prepared for: Army Research Office (Durham) 12 November 1972 DISYRI'3UTED BY: National Technical Information Service
More informationKnü. ADOAOll 835 ON PACKING SQUARES WITH EQUAL SQUARES. P. Erdos, et al. Stanford University. Prepared for:
ADOAOll 835 ON PACKING SQUARES WITH EQUAL SQUARES P. Erdos, et al Stanford University Prepared for: National Science Foundation Office of Naval Research March 1975 DISTRIBUTED BY: Knü National Technical
More informationA NOTE ON CONFIDENCE BOUNDS CONNECTED WITH ANOVA AND MANOVA FOR BALANCED AND PARTIALLY BALANCED INCOMPLETE BLOCK DESIGNS. v. P.
... --... I. A NOTE ON CONFIDENCE BOUNDS CONNECTED WITH ANOVA AND MANOVA FOR BALANCED AND PARTIALLY BALANCED INCOMPLETE BLOCK DESIGNS by :}I v. P. Bhapkar University of North Carolina. '".". This research
More informationurn DISTRIBUTED BY: National Technical Information Service U. S. DEPARTMENT OF COMMERCE AD-A
,. W..i..1. IN, U,IM,,,L.. iu
More informationBootstrap Approach to Comparison of Alternative Methods of Parameter Estimation of a Simultaneous Equation Model
Bootstrap Approach to Comparison of Alternative Methods of Parameter Estimation of a Simultaneous Equation Model Olubusoye, O. E., J. O. Olaomi, and O. O. Odetunde Abstract A bootstrap simulation approach
More informationarxiv: v2 [cs.dm] 2 Mar 2017
Shared multi-processor scheduling arxiv:607.060v [cs.dm] Mar 07 Dariusz Dereniowski Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland Abstract
More informationUNCLASSIFIED AD NUMBER LIMITATION CHANGES
TO: UNCLASSIFIED AD NUMBER AD450636 LIMITATION CHANGES Approved for public release; distribution is unlimited. FROM: Distribution authorized to U.S. Gov't. agencies and their contractors; Administrative/Operational
More informationComplexity analysis of job-shop scheduling with deteriorating jobs
Discrete Applied Mathematics 117 (2002) 195 209 Complexity analysis of job-shop scheduling with deteriorating jobs Gur Mosheiov School of Business Administration and Department of Statistics, The Hebrew
More informationAEAN ITEqATIVE TECHNIQUE TO STABILIZE A LINEAR TMEv VISWANATHAN SANKARAN NRC POSTDOCTORAL RESEARCH ASSOCIATE FLIGHT DYNAMICS AND CONTROL DIVISION
AD-A280 164 IIImmI UlI NASA TECHNICAL NASA TM X-71986 MEMORANDUM COPY NO. 00 0" (7% '-4 AEAN ITEqATIVE TECHNIQUE TO STABILIZE A LINEAR TMEv INVARIANT MULTIVARIABLE SYSTEM WITH UJTPUJT FEEDBACK VISWANATHAN
More informationUNCLASSIFIED AD NUMBER LIMITATION CHANGES
TO: UNCLASSIFIED AD NUMBER AD237455 LIMITATION CHANGES Approved for public release; distribution is unlimited. FROM: Distribution authorized to U.S. Gov't. agencies and their contractors; Administrative/Operational
More informationISO Lead Auditor Lean Six Sigma PMP Business Process Improvement Enterprise Risk Management IT Sales Training
Training Calendar 2014 Public s (ISO LSS PMP BPI ERM IT Sales Training) (ISO, LSS, PMP, BPI, ERM, IT, Sales Public s) 1 Schedule Registration JANUARY ) FEBRUARY 2 days 26 JAN 27 JAN 3 days 28 JAN 30 JAN
More informationTHE STÄTIONARITY OF AN ESTIMATED AUTOREGRESSIVE PROCESS BY T. W. ANDERSON TECHNICAL REPORT NO. 7 NOVEMBER 15, 1971
H. V. JOHNS JR. THE STÄTIONARITY OF AN ESTIMATED AUTOREGRESSIVE PROCESS BY T. W. ANDERSON TECHNICAL REPORT NO. 7 NOVEMBER 15, 1971 PREPARED UNDER CONTRACT NQ0014-67-A-0112-0030 (NR-042-034) FOR THE OFFICE
More informationCOMPUTATIONAL COMPLEXITY OF PARAMETRIC LINEAR PROGRAMMING +
Mathematical Programming 19 (1980) 213-219. North-Holland Publishing Company COMPUTATIONAL COMPLEXITY OF PARAMETRIC LINEAR PROGRAMMING + Katta G. MURTY The University of Michigan, Ann Arbor, MI, U.S.A.
More informationPolitical Science 236 Hypothesis Testing: Review and Bootstrapping
Political Science 236 Hypothesis Testing: Review and Bootstrapping Rocío Titiunik Fall 2007 1 Hypothesis Testing Definition 1.1 Hypothesis. A hypothesis is a statement about a population parameter The
More informationCD4070BM CD4070BC Quad 2-Input EXCLUSIVE-OR Gate CD4077BM CD4077BC Quad 2-Input EXCLUSIVE-NOR Gate
CD4070BM CD4070BC Quad 2-Input EXCLUSIVE-OR Gate CD4077BM CD4077BC Quad 2-Input EXCLUSIVE-NOR Gate General Description Employing complementary MOS (CMOS) transistors to achieve wide power supply operating
More informationModeling Laser and e-beam Generated Plasma-Plume Experiments Using LASNEX
UCRL-ID-136726 Modeling Laser and e-beam Generated Plasma-Plume Experiments Using LASNEX D.D.-M. Ho December 1,1999 US. Department of Energy Approved for public release; further dissemination unlimited
More informationDynamic Programming( Weighted Interval Scheduling)
Dynamic Programming( Weighted Interval Scheduling) 17 November, 2016 Dynamic Programming 1 Dynamic programming algorithms are used for optimization (for example, finding the shortest path between two points,
More informationCombinatorial optimization problems
Combinatorial optimization problems Heuristic Algorithms Giovanni Righini University of Milan Department of Computer Science (Crema) Optimization In general an optimization problem can be formulated as:
More informationAward # N J-1716
A Space Dust Experiment (Spadus) for Measurement of the Distribution of Man- Made and Natural Dust in the Near-Earth Space FOR Flight on the P91-1 Advanced Research and Global Observation Satellite (ARGOS)
More informationVolume 6 Water Surface Profiles
A United States Contribution to the International Hydrological Decade HEC-IHD-0600 Hydrologic Engineering Methods For Water Resources Development Volume 6 Water Surface Profiles July 1975 Approved for
More informationBenefits of Force Limiting Vibration Testing
NASA/TM 1999-209382 Benefits of Force Limiting Vibration Testing Mark E. McNelis Glenn Research Center, Cleveland, Ohio Terry D. Scharton Jet Propulsion Laboratory, Pasadena, California August 1999 The
More information, i, ~. '~~~* a F- WI W U V U S S S S S S It
AD-A194 365 REACTION DYNAMICS ON SEMICONDUCTOR SURFACES(U) h RENSSELAER POLYTECHNIC INST TROY NY DEPT OF MATERIALS ENGINEERING J B HUDSON 29 FEB 86 NOB8e4-86-K-0259 UNCLASSIFIED F/G 7/4 NI @MonossonE ,
More informationECE 307- Techniques for Engineering Decisions
ECE 307- Techniques for Engineering Decisions Lecture 4. Dualit Concepts in Linear Programming George Gross Department of Electrical and Computer Engineering Universit of Illinois at Urbana-Champaign DUALITY
More information1 Descriptive statistics. 2 Scores and probability distributions. 3 Hypothesis testing and one-sample t-test. 4 More on t-tests
Overall Overview INFOWO Statistics lecture S3: Hypothesis testing Peter de Waal Department of Information and Computing Sciences Faculty of Science, Universiteit Utrecht 1 Descriptive statistics 2 Scores
More informationParameter estimation and forecasting. Cristiano Porciani AIfA, Uni-Bonn
Parameter estimation and forecasting Cristiano Porciani AIfA, Uni-Bonn Questions? C. Porciani Estimation & forecasting 2 Temperature fluctuations Variance at multipole l (angle ~180o/l) C. Porciani Estimation
More informationInfrasonic Far-Field Radiation From a Turbulent Wake
NRL Rqert 7421 Infrasonic Far-Field Radiation From a Turbulent Wake JOHN A. DESANTO PrnpuglIati( Brancth AmoIsxic'. Division June 29, 1972 *4k NAVAL ESEWARCH LAOmRaroRv Wambhgig, D.C. Approvej for public
More informationTHE MINIMUM NUMBER OF LINEAR DECISION FUNCTIONS TO IMPLEMENT A DECISION PROCESS DECEMBER H. Joksch D. Liss. Prepared for
PJSD-TDR-64-171 TM-03903 THE MINIMUM NUMBER OF LINEAR DECISION FUNCTIONS TO IMPLEMENT A DECISION PROCESS TECHNICAL DOCUMENTARY REPORT NO. ESD-TDR-64-171 DECEMBER 1964 H. Joksch D. Liss Prepared for DIRECTORATE
More informationAD FIXED POINTS OF ANALYTIC FUNCTIONS Peter Henrici Stanford University Stanford, California July 1969
AD 698 801 FIXED POINTS OF ANALYTIC FUNCTIONS Peter Henrici Stanford University Stanford, California July 1969 OittribitM...'to foster, serve and promote the nation's economic development and technological
More informationAIRFOIL DESIGN PROCEDURE A MODIFIED THEODORSEN E-FUNCTION. by Raymond L. Barger. Langley Research Center NASA TECHNICAL NOTE NASA TN D-7741
NASA TECHNICAL NOTE NASA TN D-7741 AND 1- I- 6~7 (NASA-TN-D-7741) A MODIFIED THEODORSEN N74-33428 EPSILON-FUNCTION AIRFOIL DESIGN PROCEDURE (NASA) 19 p BC $3.00 CSCL 01A Unclas H1/01 48910 rr A MODIFIED
More informationOFFICE OF NAVAL RESEARCH FINAL REPORT for TASK NO. NR PRINCIPAL INVESTIGATORS: Jeffrey D. Hart Thomas E. Wehrly
AD-A240 830 S ~September 1 10, 1991 OFFICE OF NAVAL RESEARCH FINAL REPORT for 1 OCTOBER 1985 THROUGH 31 AUGUST 1991 CONTRACT N00014-85-K-0723 TASK NO. NR 042-551 Nonparametric Estimation of Functions Based
More informationPhoto. EPRI s Power System and Railroad Electromagnetic Compatibility Handbook
Photo EPRI s Power System and Railroad Electromagnetic Compatibility Handbook Brian Cramer Project Manager Transmission and Substations bcramer@epri.com 815/478-5344 Problem Periodic false activation of
More informationDATE ~~~ 6O 300 N1. nbc OF / END FJLIEEO
/ AD AO6O 390 SOUTHERN METHODIST UNIV DALLAS TX DEPT OF OPERATIONS ETC F/G 12/1 APPROXIMATIONS TO THE INVERSE CUMULATIVE NORMAL FUNCTION FOR US ETCH) ) JUL 78 8 W SCHMEISER N00014 77eC Ot,25 UNCLASSIFIED
More informationCD4070BM CD4070BC Quad 2-Input EXCLUSIVE-OR Gate CD4077BM CD4077BC Quad 2-Input EXCLUSIVE-NOR Gate
CD4070BM CD4070BC Quad 2-Input EXCLUSIVE-OR Gate CD4077BM CD4077BC Quad 2-Input EXCLUSIVE-NOR Gate General Description Employing complementary MOS (CMOS) transistors to achieve wide power supply operating
More informationISO Lead Auditor Lean Six Sigma PMP Business Process Improvement Enterprise Risk Management IT Sales Training
Training Calendar 2014 Public s (ISO LSS PMP BPI ERM IT Sales Training) www.excelledia.com (ISO, LSS, PMP, BPI, ERM, IT, Sales Public s) 1 Schedule Registration JANUARY FEBRUARY 2 days 26 JAN 27 JAN 3
More informationQ3) a) Explain the construction of np chart. b) Write a note on natural tolerance limits and specification limits.
(DMSTT 21) Total No. of Questions : 10] [Total No. of Pages : 02 M.Sc. DEGREE EXAMINATION, MAY 2017 Second Year STATISTICS Statistical Quality Control Time : 3 Hours Maximum Marks: 70 Answer any Five questions.
More information.IEEEEEEIIEII. fflllffo. I ll, 7 AO-AO CALIFORNIA UN IV BERKELEY OPERATIONS RESEARCH CENTER FIG 12/1
7 AO-AO95 140 CALIFORNIA UN IV BERKELEY OPERATIONS RESEARCH CENTER FIG 12/1.IEEEEEEIIEII AVAILABILITY OF SERIES SYSTEMS WITH COMPONENTS SUBJECT TO VARIO--ETC(U) JUN 80 Z S KHALIL AFOSR-77-3179 UNCLASSIFIED
More informationChange point tests in functional factor models with application to yield curves
Change point tests in functional factor models with application to yield curves Department of Statistics, Colorado State University Joint work with Lajos Horváth University of Utah Gabriel Young Columbia
More informationI4ATIEMATIC*L SCIENCES LASSIFIED END. ~~ rf ~ O6 ~~~
I4ATIEMATIC*L SCIENCES F/S t2/t II END I rf 0 LASSIFIED O6 16 7-79 I..4 1.0 L l L 12.2 L I. : IIIO 8 11111.25 IIIII ilhii 6 MI( R t )FY RI Sot u 1 ION I I SI Cl IAN I NA k NAt I 1II I NI A 1 ANI A At A
More informationTHE OBSERVED HAZARD AND MULTICONPONENT SYSTEMS. (U) JAN 80 M BROWN- S M R OSS N0001R77-C I~OREE80-1 he UNCLASSIFIED CA-
THE OBSERVED HAZARD AND MULTICONPONENT SYSTEMS. (U) JAN 80 M BROWN- S M R OSS N0001R77-C-0299 I~OREE80-1 he UNCLASSIFIED CA- Hf - 3I 2~? IRO.25 1UONT. 11111.8 MICROCOPY RESOLUTION TEST CHART (Q ORC 80-1
More informationLecture 3. Inference about multivariate normal distribution
Lecture 3. Inference about multivariate normal distribution 3.1 Point and Interval Estimation Let X 1,..., X n be i.i.d. N p (µ, Σ). We are interested in evaluation of the maximum likelihood estimates
More informationS 3 j ESD-TR W OS VL, t-i 1 TRADE-OFFS BETWEEN PARTS OF THE OBJECTIVE FUNCTION OF A LINEAR PROGRAM
I >> I 00 OH I vo Q CO O I I I S 3 j ESD-TR-65-363 W-07454 OS VL, t-i 1 P H I CO CO I LU U4 I TRADE-OFFS BETWEEN PARTS OF THE OBECTIVE FUNCTION OF A LINEAR PROGRAM ESD RECORD COPY ESD ACCESSION LIST ESTI
More informationA TEST OF SIGNIFICANCE OF DIFFERENCE BETWEEN CORRELATED PROPORTIONS. John A. Keats
~ E S E B A U ~ L t L I-i E TI RB-55-20 A TEST OF SIGNIFICANCE OF DIFFERENCE BETWEEN CORRELATED PROPORTIONS John A. Keats N This Bulletin is a draft for interoffice circulation. Corrections and suggestions
More informationINVERSION IN THE PLANE BERKELEY MATH CIRCLE
INVERSION IN THE PLANE BERKELEY MATH CIRCLE ZVEZDELINA STANKOVA MILLS COLLEGE/UC BERKELEY SEPTEMBER 26TH 2004 Contents 1. Definition of Inversion in the Plane 1 Properties of Inversion 2 Problems 2 2.
More informationFleet Maintenance Simulation With Insufficient Data
Fleet Maintenance Simulation With Insufficient Data Zissimos P. Mourelatos Mechanical Engineering Department Oakland University mourelat@oakland.edu Ground Robotics Reliability Center (GRRC) Seminar 17
More informationFeatures Y Wide supply voltage range 3 0V to 15V. Y High noise immunity 0 45 VDD (typ ) Y Low power TTL fan out of 2 driving 74L
CD4025 CD4023BM CD4023BC Buffered Triple 3-Input NAND Gate CD4025BM CD4025BC Buffered Triple 3-Input NOR Gate General Description These triple gates are monolithic complementary MOS (CMOS) integrated circuits
More informationFeatures. Y Low power TTL Fan out of 2 driving 74L. Y 5V 10V 15V parametric ratings. Y Symmetrical output characteristics
CD4001BM CD4001BC Quad 2-Input NOR Buffered B Series Gate CD4011BM CD4011BC Quad 2-Input NAND Buffered B Series Gate General Description These quad gates are monolithic complementary MOS (CMOS) integrated
More informationThis means that we can assume each list ) is
This means that we can assume each list ) is of the form ),, ( )with < and Since the sizes of the items are integers, there are at most +1pairs in each list Furthermore, if we let = be the maximum possible
More informationDivide-and-combine Strategies in Statistical Modeling for Massive Data
Divide-and-combine Strategies in Statistical Modeling for Massive Data Liqun Yu Washington University in St. Louis March 30, 2017 Liqun Yu (WUSTL) D&C Statistical Modeling for Massive Data March 30, 2017
More informationA FURTHER CONTRIBUTION TO THE THEORY OF SYSTEMATIC STATISTICS
A FURTHER CONTRIBUTION TO THE THEORY OF SYSTEMATIC STATISTICS.; i/'.t: :PlfK by J unjiro. Ogawa. University of North Car9}ina Sponsored by the Office of Naval Research under the contract for research in
More informationTexas Transportation Institute The Texas A&M University System College Station, Texas
1. Report No. FHWA/TX-03/4150-1 4. Title and Subtitle ANALYSIS OF TXDOT THICKNESS MEASUREMENT PROCEDURES FOR THERMOPLASTIC PAVEMENT MARKINGS Technical Report Documentation Page 2. Government Accession
More informationSystem Reliability Simulation and Optimization by Component Reliability Allocation
System Reliability Simulation and Optimization by Component Reliability Allocation Zissimos P. Mourelatos Professor and Head Mechanical Engineering Department Oakland University Rochester MI 48309 Report
More informationCoherent and Incoherent Multiple Scattering of Light in Sea Water
:.-,-... v...~,i:,*-s->:v-=-s -f^«' -i.i-v fwf- «' V-' '.rt'' "/»m'.f '"-.'«TiW^!^.,,.,, ARPA ORDER NO.: 189-1 CO R-778-ARPA August 1971 I'M "^S? Coherent and Incoherent Multiple Scattering of Light in
More informationEFFICIENT ESTIMATION USING PANEL DATA 1. INTRODUCTION
Econornetrica, Vol. 57, No. 3 (May, 1989), 695-700 EFFICIENT ESTIMATION USING PANEL DATA BY TREVOR S. BREUSCH, GRAYHAM E. MIZON, AND PETER SCHMIDT' 1. INTRODUCTION IN AN IMPORTANT RECENT PAPER, Hausman
More informationCSCI5654 (Linear Programming, Fall 2013) Lecture-8. Lecture 8 Slide# 1
CSCI5654 (Linear Programming, Fall 2013) Lecture-8 Lecture 8 Slide# 1 Today s Lecture 1. Recap of dual variables and strong duality. 2. Complementary Slackness Theorem. 3. Interpretation of dual variables.
More informationSolution to Exercise E6.
Solution to Exercise E6. The Multiple Regression Model. Inference Exercise E6.1 Beach umbrella rental Part I. Simple Linear Regression Model. a. Regression model: U t = α + β T t + u t t = 1,..., 22 Model
More informationi of 6. PERFORMING ORG. REPORT NUMBER Approved for public Dtatibuft Unlimited
SECURITY CLASSIFICATION OF THIS PAGE (When Data Entered) REPORT DOCUMENTATION PAGE READ INSTRUCTIONS BEFORE COMPLETING FORM I. REPORT NUMBER 2. GOVT ACCESSION NO. 3. RECIPIENT'S CATALOG NUMBER WP-MDSGA-65-4
More informationHypothesis Testing for Var-Cov Components
Hypothesis Testing for Var-Cov Components When the specification of coefficients as fixed, random or non-randomly varying is considered, a null hypothesis of the form is considered, where Additional output
More informationThe purpose of this section is to derive the asymptotic distribution of the Pearson chi-square statistic. k (n j np j ) 2. np j.
Chapter 9 Pearson s chi-square test 9. Null hypothesis asymptotics Let X, X 2, be independent from a multinomial(, p) distribution, where p is a k-vector with nonnegative entries that sum to one. That
More informationThe Chi-Square Distributions
MATH 03 The Chi-Square Distributions Dr. Neal, Spring 009 The chi-square distributions can be used in statistics to analyze the standard deviation of a normally distributed measurement and to test the
More informationCSE 202 Dynamic Programming II
CSE 202 Dynamic Programming II Chapter 6 Dynamic Programming Slides by Kevin Wayne. Copyright 2005 Pearson-Addison Wesley. All rights reserved. 1 Algorithmic Paradigms Greed. Build up a solution incrementally,
More informationSYSTEMS OPTIMIZATION LABORATORY DEPARTMENT OF OPERATIONS RESEARCH STANFORD UNIVERSITY STANFORD, CALIFORNIA
SYSTEMS OPTIMIZATION LABORATORY DEPARTMENT OF OPERATIONS RESEARCH STANFORD UNIVERSITY STANFORD, CALIFORNIA 94305-4022 00 0 NIN DTIC A Monotone Complementarity Problem in Hilbert Space by Jen-Chih Yao fl
More informationRD-R14i 390 A LIMIT THEOREM ON CHARACTERISTIC FUNCTIONS VIA RN ini EXTREMAL PRINCIPLE(U) TEXAS UNIV AT AUSTIN CENTER FOR CYBERNETIC STUDIES A BEN-TAL
RD-R14i 390 A LIMIT THEOREM ON CHARACTERISTIC FUNCTIONS VIA RN ini EXTREMAL PRINCIPLE(U) TEXAS UNIV AT AUSTIN CENTER FOR CYBERNETIC STUDIES A BEN-TAL DEC 83 CCS-RR-477 UNCLASSIFIED N@884-i-C-236 F/0 2/1
More informationROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015
ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/lionbook Roberto Battiti
More informationStat 5101 Lecture Notes
Stat 5101 Lecture Notes Charles J. Geyer Copyright 1998, 1999, 2000, 2001 by Charles J. Geyer May 7, 2001 ii Stat 5101 (Geyer) Course Notes Contents 1 Random Variables and Change of Variables 1 1.1 Random
More informationData envelopment analysis
15 Data envelopment analysis The purpose of data envelopment analysis (DEA) is to compare the operating performance of a set of units such as companies, university departments, hospitals, bank branch offices,
More informationInvoice Information. Remittance Account Number: Invoice Number: Invoice Date: Due Date: Total Amount Due: PLEASE SEND PAYMENT TO:
Easton Telecom Services, LLC PO Box 550 Richfield, OH 44286 Customer Service: 800-222-8122 Fax Number: 800-227-8420 custservice@eastontel.com Invoice Information Billing Summary Descriptions Charges /
More informationFeatures. Y Low power TTL Fan out of 2 driving 74L. Y 5V 10V 15V parametric ratings. Y Symmetrical output characteristics
CD4071BM CD4071BC Quad 2-Input OR Buffered B Series Gate CD4081BM CD4081BC Quad 2-Input AND Buffered B Series Gate General Description These quad gates are monolithic complementary MOS (CMOS) integrated
More informationThe Multiple Traveling Salesman Problem with Time Windows: Bounds for the Minimum Number of Vehicles
The Multiple Traveling Salesman Problem with Time Windows: Bounds for the Minimum Number of Vehicles Snežana Mitrović-Minić Ramesh Krishnamurti School of Computing Science, Simon Fraser University, Burnaby,
More informationMixture Distributions for Modeling Lead Time Demand in Coordinated Supply Chains. Barry Cobb. Alan Johnson
Mixture Distributions for Modeling Lead Time Demand in Coordinated Supply Chains Barry Cobb Virginia Military Institute Alan Johnson Air Force Institute of Technology AFCEA Acquisition Research Symposium
More informationKnapsack and Scheduling Problems. The Greedy Method
The Greedy Method: Knapsack and Scheduling Problems The Greedy Method 1 Outline and Reading Task Scheduling Fractional Knapsack Problem The Greedy Method 2 Elements of Greedy Strategy An greedy algorithm
More informationFeatures. Y Low power TTL Fan out of 2 driving 74L. Y 5V 10V 15V parametric ratings. Y Symmetrical output characteristics
CD4001BM CD4001BC Quad 2-Input NOR Buffered B Series Gate CD4011BM CD4011BC Quad 2-Input NAND Buffered B Series Gate General Description These quad gates are monolithic complementary MOS (CMOS) integrated
More informationK-0DI. flflflflflflflflflii
flflflflflflflflflii AD-Ass7 364 TEXAS UNIV AT AUSTIN DEPT OF CHEMISTRY F/6 7/4 " POTOCATALYTIC PRODUCTION OF HYDROGEN FROM WATER AND TEXAS LIBN-ETC(U) JUM 80 S SATO, J M WHITE NOOOl,-75-C-0922 END K-0DI
More informationA Use of the Information Function in Tailored Testing
A Use of the Information Function in Tailored Testing Fumiko Samejima University of Tennessee for indi- Several important and useful implications in latent trait theory, with direct implications vidualized
More informationA graph theoretic approach to matrix inversion by partitioning
Numerische Mathematik 4, t 28-- t 35 (1962) A graph theoretic approach to matrix inversion by partitioning By FRANK HARARY Abstract Let M be a square matrix whose entries are in some field. Our object
More informationUNIVERSITY OF TORONTO Faculty of Arts and Science
UNIVERSITY OF TORONTO Faculty of Arts and Science December 2013 Final Examination STA442H1F/2101HF Methods of Applied Statistics Jerry Brunner Duration - 3 hours Aids: Calculator Model(s): Any calculator
More information1. You have data on years of work experience, EXPER, its square, EXPER2, years of education, EDUC, and the log of hourly wages, LWAGE
1. You have data on years of work experience, EXPER, its square, EXPER, years of education, EDUC, and the log of hourly wages, LWAGE You estimate the following regressions: (1) LWAGE =.00 + 0.05*EDUC +
More informationAnalysis of the AIC Statistic for Optimal Detection of Small Changes in Dynamic Systems
Analysis of the AIC Statistic for Optimal Detection of Small Changes in Dynamic Systems Jeremy S. Conner and Dale E. Seborg Department of Chemical Engineering University of California, Santa Barbara, CA
More informationRelation of Pure Minimum Cost Flow Model to Linear Programming
Appendix A Page 1 Relation of Pure Minimum Cost Flow Model to Linear Programming The Network Model The network pure minimum cost flow model has m nodes. The external flows given by the vector b with m
More informationA PRIMER ON SESQUILINEAR FORMS
A PRIMER ON SESQUILINEAR FORMS BRIAN OSSERMAN This is an alternative presentation of most of the material from 8., 8.2, 8.3, 8.4, 8.5 and 8.8 of Artin s book. Any terminology (such as sesquilinear form
More informationMicrowave Circuit Simulator for MATLAB
Microwave Circuit Simulator for MATLAB Romeo D. del Rosario and Daniel C. Judy ARL-TN-184 March 2002 Approved for public release; distribution unlimited. The findings in this report are not to be construed
More information