Design and Analysis of Experiments : (Record no. 90387)

000 -LEADER
fixed length control field 13205nam a22005413i 4500
001 - CONTROL NUMBER
control field EBC818475
003 - CONTROL NUMBER IDENTIFIER
control field MiAaPQ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181121161640.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181113s2011 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118147665
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780470530689
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC818475
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL818475
035 ## - SYSTEM CONTROL NUMBER
System control number (CaPaEBR)ebr10524059
035 ## - SYSTEM CONTROL NUMBER
System control number (CaONFJC)MIL340958
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)771875964
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279 -- .D47 2012eb
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.434
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hinkelmann, Klaus.
245 10 - TITLE STATEMENT
Title Design and Analysis of Experiments :
Remainder of title Special Designs and Applications.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York :
Name of publisher, distributor, etc John Wiley & Sons, Incorporated,
Date of publication, distribution, etc 2011.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2012.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (596 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Wiley Series in Probability and Statistics Ser. ;
Volume number/sequential designation v.810
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Intro -- Design and Analysis of Experiments -- Contents -- Preface -- Contributors -- CHAPTER 1: Genetic Crosses Experiments -- 1.1 INTRODUCTION -- 1.2 BASIC OBJECTIVES AND MODELS -- 1.2.1 Generation Mean Analysis -- 1.2.2 Generation Variance Analysis -- 1.2.3 Covariance between Relatives -- 1.2.4 Mating (M) and Environmental (E) Designs -- 1.2.5 Fixed Effects and Random Effects Models -- 1.3 DIALLEL MATING DESIGN OF TYPE I -- 1.3.1 North Carolina Design I (NCI) -- 1.3.2 North Carolina Design II (NCII) -- 1.3.3 Sets of North Carolina Design II -- 1.3.4 North Carolina Design III (NCIII) -- 1.3.5 Line × Tester Approach -- 1.3.6 A Modified Line × Tester Approach -- 1.4 DIALLEL CROSSES: TYPE II DESIGNS -- 1.4.1 Hayman Approach for Diallel Analysis -- 1.4.2 Griffing's Method -- 1.5 PARTIAL DIALLEL CROSSES: NO BLOCKING OR COMPLETE BLOCKS -- 1.6 PARTIAL DIALLEL CROSSES IN INCOMPLETE BLOCKS -- 1.6.1 Construction of Mating-Environment Designs -- 1.6.2 Analysis of M-E Design -- 1.6.3 An Example of PDC in Incomplete Blocks -- 1.6.4 Other M-E Designs -- 1.7 OPTIMALITY -- 1.7.1 Optimal CDC Designs for Estimation of gca -- 1.7.2 Optimal Partial Diallel Crosses -- 1.7.3 Estimation of Heritability -- 1.8 ROBUSTNESS -- 1.9 THREE- OR HIGHER-WAY CROSSES -- 1.9.1 Triallel or Three-Way Crosses -- 1.9.2 Double- or Four-Way Crosses -- 1.10 COMPUTATION -- ACKNOWLEDGMENTS -- REFERENCES -- CHAPTER 2: Design of Gene Expression Microarray Experiments -- 2.1 INTRODUCTION -- 2.2 GENE EXPRESSION MICROARRAY TECHNOLOGY -- 2.2.1 Introduction -- 2.2.2 Definition of a Microarray -- 2.2.3 Using Microarrays to Measure Gene Expression -- 2.2.4 Types of Gene Expression in Microarrays -- 2.3 PREPROCESSING OF MICROARRAY FLUORESCENCE INTENSITIES -- 2.3.1 Introduction -- 2.3.2 Background Correction -- 2.3.3 Normalization -- 2.3.4 Summarization.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.4 INTRODUCTION TO GENE EXPRESSION MICROARRAY EXPERIMENTAL DESIGN -- 2.5 TWO-TREATMENT EXPERIMENTS USING TWO-COLOR MICROARRAYS -- 2.6 TWO-COLOR MICROARRAY EXPERIMENTS INVOLVING MORE THAN TWO TREATMENTS -- 2.7 MULTIFACTOR TWO-COLOR MICROARRAY EXPERIMENTS -- 2.7.1 Introduction -- 2.7.2 Admissible Designs -- 2.7.3 w-Optimal Designs -- 2.7.4 e-Efficiency -- 2.8 PHASE 2 DESIGNS FOR COMPLEX PHASE 1 DESIGNS -- REFERENCES -- CHAPTER 3: Spatial Analysis of Agricultural Field Experiments -- 3.1 INTRODUCTION -- 3.2 METHODS TO ACCOUNT FOR SPATIAL VARIATION -- 3.2.1 Design of Experiments -- 3.2.2 Spatial Analysis Methods -- 3.3 A SPATIAL LINEAR MIXED MODEL -- 3.3.1 Estimation, Prediction and Testing -- 3.3.2 The Spatial Modeling Process -- 3.4 ANALYSIS OF EXAMPLES -- 3.4.1 Herbicide Tolerance Trial -- 3.4.2 Variety Trial -- REFERENCES -- CHAPTER 4: Optimal Designs for Generalized Linear Models -- 4.1 INTRODUCTION -- 4.2 NOTATION AND BASIC CONCEPTS -- 4.2.1 Binary Data -- 4.2.2 Count Data -- 4.2.3 Optimality Criteria -- 4.3 TOOLS FOR FINDING LOCALLY OPTIMAL DESIGNS -- 4.3.1 Traditional Approaches -- 4.3.2 An Analytical Approach -- 4.4 GLMs WITH TWO PARAMETERS -- 4.5 GLMs WITH MULTIPLE PARAMETERS -- 4.5.1 GLMs with Multiple Covariates -- 4.5.2 GLMs with Group Effects -- 4.6 SUMMARY AND CONCLUDING COMMENTS -- ACKNOWLEDGMENTS -- REFERENCES -- CHAPTER 5: Design and Analysis of Randomized Clinical Trials -- 5.1 OVERVIEW -- 5.2 COMPONENTS OF A RANDOMIZED CLINICAL TRIAL -- 5.2.1 Target, or Reference, Population -- 5.2.2 Study Population -- 5.2.3 Outcomes -- 5.2.4 Projected Timeline -- 5.2.5 Choice of Control Group -- 5.3 BIAS -- 5.3.1 Unbiased Entry Criteria and Recruitment -- 5.3.2 Outcome Measures-Unbiased Assessment -- 5.3.3 Once Randomized, Always Analyzed (Intent-to-Treat) -- 5.3.4 Masking Participants, Investigators, and Others.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5.3.5 Noncompliance and Study Dropout -- 5.4 STATISTICAL ANALYSIS OF RANDOMIZED CLINICAL TRIALS -- 5.5 FAILURE TIME STUDIES -- 5.5.1 Basic Theory -- 5.5.2 Actuarial and Product-Limit Survival Curves -- 5.5.3 Exponential Survival, Hazard Rates, and Ratios and Proportional Hazard Ratios -- 5.5.4 The Logrank Family of Tests -- 5.5.5 The Cox Proportional Hazards Model -- 5.5.6 Some Sample SAS Code -- 5.5.7 Some Sample Splus Code -- 5.5.8 Calculations of Number of Replications, or Sample Size -- 5.5.9 Group Sequential Analysis -- 5.6 OTHER TOPICS -- 5.6.1 Multiplicity -- 5.6.2 Subgroups -- 5.6.3 Large, Simple Trials -- 5.6.4 Equivalence and Noninferiority Trials -- REFERENCES -- CHAPTER 6: Monitoring Randomized Clinical Trials -- 6.1 INTRODUCTION -- 6.2 NORMALLY DISTRIBUTED OUTCOMES -- 6.3 BROWNIAN MOTION PROPERTIES -- 6.4 BRIEF HISTORICAL OVERVIEW OF GROUP SEQUENTIAL METHODS -- 6.5 DICHOTOMOUS OUTCOMES -- 6.6 TIME-TO-EVENT OUTCOMES -- 6.7 UNCONDITIONAL POWER -- 6.8 CONDITIONAL POWER -- 6.9 SPENDING FUNCTIONS -- 6.10 FLEXIBILITY AND PROPERTIES OF SPENDING FUNCTIONS -- 6.11 MODIFYING THE TRIAL'S SAMPLE SIZE BASED ON A NUISANCE PARAMETER -- 6.11.1 Sample Size Modification for a Continuous Outcome Based on an Interim Variance Estimate -- 6.11.2 Sample Size Modification for a Dichotomous Outcome Based on an Interim Estimate of the Pooled Event Rate -- 6.12 SAMPLE SIZE MODIFICATION BASED ON THE INTERIM TREATMENT EFFECT -- 6.13 CONCLUDING REMARKS -- REFERENCES -- CHAPTER 7: Adaptive Randomization in Clinical Trials -- 7.1 INTRODUCTION -- 7.2 ADAPTIVE RANDOMIZATION PROCEDURES -- 7.2.1 Restricted Randomization Procedures -- 7.2.2 Covariate-Adaptive Randomization -- 7.2.3 Response-Adaptive Randomization -- 7.3 LIKELIHOOD-BASED INFERENCE -- 7.3.1 Restricted Randomization -- 7.3.2 Covariate-Adaptive Randomization -- 7.3.3 Response-Adaptive Randomization.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7.3.4 Asymptotically "Best" Procedures -- 7.4 RANDOMIZATION-BASED INFERENCE -- 7.4.1 Randomization Tests -- 7.4.2 Monte Carlo Unconditional Tests -- 7.4.3 Monte Carlo Conditional Tests -- 7.4.4 Expanding the Reference Set -- 7.4.5 Stratified Tests -- 7.4.6 Regression Modeling -- 7.4.7 Covariate-Adaptive Randomization -- 7.4.8 Power -- 7.5 CONCLUSIONS AND PRACTICAL CONSIDERATIONS -- ACKNOWLEDGMENT -- REFERENCES -- CHAPTER 8: Search Linear Model for Identification and Discrimination -- 8.1 INTRODUCTION -- 8.2 GENERAL LINEAR MODEL WITH FIXED EFFECTS -- 8.3 SEARCH LINEAR MODEL -- 8.4 APPLICATIONS -- 8.4.1 2m Factorial Designs -- 8.4.2 3m Factorial Experiments -- 8.5 EFFECTS OF NOISE IN PERFORMANCE COMPARISON -- REFERENCES -- CHAPTER 9: Minimum Aberration and Related Criteria for Fractional Factorial Designs -- 9.1 INTRODUCTION -- 9.2 PROJECTIONS OF FRACTIONAL FACTORIAL DESIGNS -- 9.3 ESTIMATION CAPACITY -- 9.4 CLEAR TWO-FACTOR INTERACTIONS -- 9.5 ESTIMATION INDEX -- 9.6 ESTIMATION INDEX, MINIMUM ABERRATION, AND MAXIMUM ESTIMATION CAPACITY -- 9.7 COMPLEMENTARY DESIGN THEORY FOR MINIMUM ABERRATION DESIGNS -- 9.8 NONREGULAR DESIGNS AND ORTHOGONAL ARRAYS -- 9.9 GENERALIZED MINIMUM ABERRATION -- 9.10 OPTIMAL FRACTIONAL FACTORIAL BLOCK DESIGNS -- REFERENCES -- CHAPTER 10: Designs for Choice Experiments for the Multinomial Logit Model -- 10.1 INTRODUCTION -- 10.2 DEFINITIONS -- 10.2.1 Standard Designs -- 10.3 THE MNL MODEL -- 10.4 DESIGN COMPARISONS -- 10.4.1 Optimality -- 10.4.2 Structural Properties -- 10.5 OPTIMAL DESIGNS FOR DCEs -- 10.5.1 Generic Forced Choice DCEs -- 10.5.2 Extensions -- 10.5.3 Alternative-Specific Attributes -- 10.6 USING COMBINATORIAL DESIGNS TO CONSTRUCT DCEs -- 10.6.1 OAs and BIBDs -- 10.6.2 A Recursive Construction using DCEs and BIBDs -- 10.6.3 Using the OA Symbols as Ordered Pairs -- 10.6.4 Using Hadamard Matrices to Construct DCEs.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 10.6.5 Partial Profiles -- 10.7 BAYESIAN WORK -- 10.8 BEST-WORST EXPERIMENTS -- 10.8.1 Multiattribute Best-Worst Experiments -- 10.8.2 Attribute-Level Best-Worst Experiments -- 10.9 MISCELLANEOUS TOPICS -- 10.9.1 Other Models -- 10.9.2 Complete Determination of Optimal Designs -- 10.9.3 Analyzing Results from a DCE -- REFERENCES -- CHAPTER 11: Computer Experiments -- 11.1 INTRODUCTION -- 11.1.1 Models -- 11.1.2 Some Notation -- 11.1.3 Computer Experiments -- 11.2 SENSITIVITY/UNCERTAINTY ANALYSIS -- 11.2.1 Descriptive Methods for Local Analysis -- 11.2.2 Methods Based on Input Sampling and Conditional Variance -- 11.2.3 Fourier Amplitude Sensitivity Test -- 11.3 GAUSSIAN STOCHASTIC PROCESS MODELS -- 11.3.1 Model Structure -- 11.3.2 Accommodating Random Noise -- 11.4 INFERENCE -- 11.4.1 Maximum Likelihood Parameter Estimation -- 11.4.2 Numerical Issues -- 11.4.3 Bayesian Approach -- 11.5 EXPERIMENTAL DESIGNS -- 11.5.1 Model-Based Designs -- 11.5.2 Distance-Based Designs -- 11.5.3 Latin Hypercube Designs -- 11.5.4 Uniform Designs -- 11.6 MULTIVARIATE OUTPUT -- 11.6.1 Extending the Univariate GaSP Model -- 11.6.2 Principal Components -- 11.6.3 Derivatives -- 11.7 MULTIPLE DATA SOURCES -- 11.7.1 Multiple Models -- 11.7.2 Model and Reality -- 11.8 CONCLUSION -- REFERENCES -- CHAPTER 12: Designs for Large-Scale Simulation Experiments, with Applications to Defense and Homeland Security -- 12.1 INTRODUCTION -- 12.2 PHILOSOPHY: EVOLUTION OF COMPUTATIONAL EXPERIMENTS -- 12.2.1 Context -- 12.2.2 Why Simulation? -- 12.2.3 Why DOE? -- 12.2.4 Which DOE? -- 12.2.5 Implementing Large-Scale DOE -- 12.3 APPLICATION: U.S. ARMY UNMANNED AERIAL VEHICLE (UAV) MIX STUDY -- 12.3.1 Study Overview -- 12.3.2 Study Goals -- 12.3.3 Experimental Setup -- 12.3.4 Results -- 12.3.5 Descriptive Statistics -- 12.3.6 Interactive Regression Modeling -- 12.3.7 Regression Trees.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 12.3.8 Other Useful Plots.
520 ## - SUMMARY, ETC.
Summary, etc Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research. Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes: Genetic cross experiments, microarray experiments, and variety trials Clinical trials, group-sequential designs, and adaptive designs Fractional factorial, search, and choice designs, and optimal designs for generalized linear models Computer experiments with applications to homeland security Robust parameter designs and split-plot type response surface designs Analysis of directional data experiments Throughout the book, illustrative and numerical examples utilize SAS®, JMP®, and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site. Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering,
520 8# - SUMMARY, ETC.
Summary, etc medicine, and business.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher supplied metadata and other sources.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Experimental design.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Hinkelmann, Klaus
Title Design and Analysis of Experiments : Special Designs and Applications
Place, publisher, and date of publication New York : John Wiley & Sons, Incorporated,c2011
International Standard Book Number 9780470530689
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Wiley Series in Probability and Statistics Ser.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/buse-ebooks/detail.action?docID=818475">https://ebookcentral.proquest.com/lib/buse-ebooks/detail.action?docID=818475</a>
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