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)

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
Contributor
Editor
Editor
Subject
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 long-standing 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
Member of
Dewey number
510
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • IpRUVCNzSgo
  • 9sOEReIZL34
Image bit depth
0
Language note
English
LC call number
  • QA273.A1-274.9
  • QA274-274.9
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)
Instantiates
Publication
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 m-Truncated 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 Non-Informative 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 Bayesian-Frequentist Tests -- 15 Likelihood Ratio Tests and Intersection-Union 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 Block-Equicorrelated 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 Gupta-Sobel Subset Selection Rule for Binomial Populations With Industrial Applications -- 27 The Use of Subset Selection in Combined-Array Experiments to Determine Optimal Product or Process Designs -- 28 Large-Sample 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
10.1007/978-1-4612-2308-5
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000089905
  • (DE-He213)978-1-4612-2308-5
  • (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)
Publication
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 m-Truncated 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 Non-Informative 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 Bayesian-Frequentist Tests -- 15 Likelihood Ratio Tests and Intersection-Union 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 Block-Equicorrelated 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 Gupta-Sobel Subset Selection Rule for Binomial Populations With Industrial Applications -- 27 The Use of Subset Selection in Combined-Array Experiments to Determine Optimal Product or Process Designs -- 28 Large-Sample 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
10.1007/978-1-4612-2308-5
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000089905
  • (DE-He213)978-1-4612-2308-5
  • (SSID)ssj0001295744
  • (PQKBManifestationID)11711497
  • (PQKBTitleCode)TC0001295744
  • (PQKBWorkID)11346539
  • (PQKB)10325101
  • (MiAaPQ)EBC3076590
  • (EXLCZ)993400000000089905

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