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The Resource Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource)
Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource)
Resource Information
The item Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a longstanding collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us
 Language

 eng
 eng
 Edition
 First edition.
 Extent
 1 online resource (498p.)
 Note
 Bibliographic Level Mode of Issuance: Monograph
 Contents

 I: Bayesian Inference
 1 Bayes for Beginners? Some Pedagogical Questions
 2 Normal Means Revisited
 3 Bayes mTruncated Sampling Allocations for Selecting the Best Bernoulli Population
 4 On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions
 5 Convergence Rates of Empirical Bayes Estimation and Selection for Exponential Populations With Location Parameters
 6 Empirical Bayes Rules for Selecting the Best Uniform Populations
 II: Decision Theory
 7 Adaptive Multiple Decision Procedures for Exponential Families
 8 NonInformative Priors Via Sieves and Packing Numbers
 III: Point And Interval Estimation—Classical Approach
 9 From Neyman’s Frequentism to the Frequency Validity in the Conditional Inference
 10 Asymptotic Theory for the Simex Estimator in Measurement Error Models
 11 A Change Point Problem for Some Conditional Functionals
 12 On Bias Reduction Methods in Nonparametric Regression Estimation
 13 Multiple Comparisons With the Mean
 IV: Tests Of Hypotheses
 14 Properties of Unified BayesianFrequentist Tests
 15 Likelihood Ratio Tests and IntersectionUnion Tests
 16 The Large Deviation Principle for Common Statistical Tests Against a Contaminated Normal
 17 Multiple Decision Procedures for Testing Homogeneity of Normal Means With Unequal Unknown Variances
 V: Ranking and Selection
 18 A Sequential Multinomial Selection Procedure With Elimination
 19 An Integrated Formulation for Selecting the Best From Several Normal Populations in Terms of the Absolute Values of Their Means: Common Known Variance Case
 20 Applications of Two Majorization Inequalities to Ranking and Selection Problems
 VI: Distributions AND Applications
 21 Correlation Analysis of Ordered Observations From a BlockEquicorrelated Multivariate Normal Distribution
 22 On Distributions With Periodic Failure Rate and Related Inference Problems
 23 Venn Diagrams, Coupon Collections, Bingo Games and Dirichlet Distributions
 VII: Industrial Applications
 24 Control Charts for Autocorrelated Process Data
 25 Reconstructive Estimation in a Parametric Random Censorship Model With Incomplete Data
 26 A Review of the GuptaSobel Subset Selection Rule for Binomial Populations With Industrial Applications
 27 The Use of Subset Selection in CombinedArray Experiments to Determine Optimal Product or Process Designs
 28 LargeSample Approximations to Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications
 Isbn
 9781461223085
 Label
 Advances in Statistical Decision Theory and Applications
 Title
 Advances in Statistical Decision Theory and Applications
 Statement of responsibility
 edited by S. Panchapakesan, N. Balakrishnan
 Language

 eng
 eng
 Summary
 Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a longstanding collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us
 Dewey number
 510
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt

 IpRUVCNzSgo
 9sOEReIZL34
 Image bit depth
 0
 Language note
 English
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 Panchapakesan, S.
 Balakrishnan, N.
 Series statement
 Statistics for Industry and Technology,
 http://library.link/vocab/subjectName

 Distribution (Probability theory
 Mathematics
 Probability Theory and Stochastic Processes
 Applications of Mathematics
 Label
 Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource)
 Note
 Bibliographic Level Mode of Issuance: Monograph
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references at the end of each chapters and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 I: Bayesian Inference  1 Bayes for Beginners? Some Pedagogical Questions  2 Normal Means Revisited  3 Bayes mTruncated Sampling Allocations for Selecting the Best Bernoulli Population  4 On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions  5 Convergence Rates of Empirical Bayes Estimation and Selection for Exponential Populations With Location Parameters  6 Empirical Bayes Rules for Selecting the Best Uniform Populations  II: Decision Theory  7 Adaptive Multiple Decision Procedures for Exponential Families  8 NonInformative Priors Via Sieves and Packing Numbers  III: Point And Interval Estimation—Classical Approach  9 From Neyman’s Frequentism to the Frequency Validity in the Conditional Inference  10 Asymptotic Theory for the Simex Estimator in Measurement Error Models  11 A Change Point Problem for Some Conditional Functionals  12 On Bias Reduction Methods in Nonparametric Regression Estimation  13 Multiple Comparisons With the Mean  IV: Tests Of Hypotheses  14 Properties of Unified BayesianFrequentist Tests  15 Likelihood Ratio Tests and IntersectionUnion Tests  16 The Large Deviation Principle for Common Statistical Tests Against a Contaminated Normal  17 Multiple Decision Procedures for Testing Homogeneity of Normal Means With Unequal Unknown Variances  V: Ranking and Selection  18 A Sequential Multinomial Selection Procedure With Elimination  19 An Integrated Formulation for Selecting the Best From Several Normal Populations in Terms of the Absolute Values of Their Means: Common Known Variance Case  20 Applications of Two Majorization Inequalities to Ranking and Selection Problems  VI: Distributions AND Applications  21 Correlation Analysis of Ordered Observations From a BlockEquicorrelated Multivariate Normal Distribution  22 On Distributions With Periodic Failure Rate and Related Inference Problems  23 Venn Diagrams, Coupon Collections, Bingo Games and Dirichlet Distributions  VII: Industrial Applications  24 Control Charts for Autocorrelated Process Data  25 Reconstructive Estimation in a Parametric Random Censorship Model With Incomplete Data  26 A Review of the GuptaSobel Subset Selection Rule for Binomial Populations With Industrial Applications  27 The Use of Subset Selection in CombinedArray Experiments to Determine Optimal Product or Process Designs  28 LargeSample Approximations to Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications
 Dimensions
 unknown
 Edition
 First edition.
 Extent
 1 online resource (498p.)
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9781461223085
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9781461223085
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (CKB)3400000000089905
 (DEHe213)9781461223085
 (SSID)ssj0001295744
 (PQKBManifestationID)11711497
 (PQKBTitleCode)TC0001295744
 (PQKBWorkID)11346539
 (PQKB)10325101
 (MiAaPQ)EBC3076590
 (EXLCZ)993400000000089905
 Label
 Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource)
 Note
 Bibliographic Level Mode of Issuance: Monograph
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references at the end of each chapters and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 I: Bayesian Inference  1 Bayes for Beginners? Some Pedagogical Questions  2 Normal Means Revisited  3 Bayes mTruncated Sampling Allocations for Selecting the Best Bernoulli Population  4 On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions  5 Convergence Rates of Empirical Bayes Estimation and Selection for Exponential Populations With Location Parameters  6 Empirical Bayes Rules for Selecting the Best Uniform Populations  II: Decision Theory  7 Adaptive Multiple Decision Procedures for Exponential Families  8 NonInformative Priors Via Sieves and Packing Numbers  III: Point And Interval Estimation—Classical Approach  9 From Neyman’s Frequentism to the Frequency Validity in the Conditional Inference  10 Asymptotic Theory for the Simex Estimator in Measurement Error Models  11 A Change Point Problem for Some Conditional Functionals  12 On Bias Reduction Methods in Nonparametric Regression Estimation  13 Multiple Comparisons With the Mean  IV: Tests Of Hypotheses  14 Properties of Unified BayesianFrequentist Tests  15 Likelihood Ratio Tests and IntersectionUnion Tests  16 The Large Deviation Principle for Common Statistical Tests Against a Contaminated Normal  17 Multiple Decision Procedures for Testing Homogeneity of Normal Means With Unequal Unknown Variances  V: Ranking and Selection  18 A Sequential Multinomial Selection Procedure With Elimination  19 An Integrated Formulation for Selecting the Best From Several Normal Populations in Terms of the Absolute Values of Their Means: Common Known Variance Case  20 Applications of Two Majorization Inequalities to Ranking and Selection Problems  VI: Distributions AND Applications  21 Correlation Analysis of Ordered Observations From a BlockEquicorrelated Multivariate Normal Distribution  22 On Distributions With Periodic Failure Rate and Related Inference Problems  23 Venn Diagrams, Coupon Collections, Bingo Games and Dirichlet Distributions  VII: Industrial Applications  24 Control Charts for Autocorrelated Process Data  25 Reconstructive Estimation in a Parametric Random Censorship Model With Incomplete Data  26 A Review of the GuptaSobel Subset Selection Rule for Binomial Populations With Industrial Applications  27 The Use of Subset Selection in CombinedArray Experiments to Determine Optimal Product or Process Designs  28 LargeSample Approximations to Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications
 Dimensions
 unknown
 Edition
 First edition.
 Extent
 1 online resource (498p.)
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9781461223085
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9781461223085
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (CKB)3400000000089905
 (DEHe213)9781461223085
 (SSID)ssj0001295744
 (PQKBManifestationID)11711497
 (PQKBTitleCode)TC0001295744
 (PQKBWorkID)11346539
 (PQKB)10325101
 (MiAaPQ)EBC3076590
 (EXLCZ)993400000000089905
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Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



Chinese Literature Translation ArchiveBorrow it401 W. Brooks St., RM 414, Norman, OK, 73019, US35.207487 97.447906

Engineering LibraryBorrow itFelgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US35.205706 97.445050

Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 97.448244

Harry W. Bass Business History CollectionBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 97.447906


Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 97.448244

Western History CollectionsBorrow itMonnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US35.209584 97.445414
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/AdvancesinStatisticalDecisionTheoryand/oJK6Y0N5f3U/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/portal/AdvancesinStatisticalDecisionTheoryand/oJK6Y0N5f3U/">Advances in Statistical Decision Theory and Applications, edited by S. Panchapakesan, N. Balakrishnan, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>