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Unimodality, Convexity, and Applications Book

Unimodality, Convexity, and Applications
Unimodality, Convexity, and Applications, In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m, Unimodality, Convexity, and Applications has a rating of 3 stars
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Unimodality, Convexity, and Applications, In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m, Unimodality, Convexity, and Applications
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  • Unimodality, Convexity, and Applications
  • Written by author Elsevier Science
  • Published by Elsevier Science, August 1988
  • In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m
  • In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m
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Prefacexi
Chapter 1.Properties of Univariate Unimodal Distributions
1.0Summary1
1.1A General Definition of Unimodality on the Line1
1.2The Convex Structure of the Set of Unimodal Distributions4
1.3Convolution Properties of Unimodal Distributions11
1.4Strong Unimodality17
1.5The Gauss Inequality and the Three-Sigma Rule for Unimodal Distributions23
1.6The Mean-Median-Mode Inequality33
Chapter 2.Concepts of Multivariate Unimodality
2.0Summary37
2.1Notation37
2.2Some Definitions of Unimodality for Distributions on R[superscript n]38
2.3Logconcave Distributions46
2.4Preservation of Unimodality Properties under Weak Limits53
2.5The Choquet Version of Central Convex Unimodality54
2.6Interrelationships among the Definitions57
2.7Marginal Distributions61
2.8Convolutions63
Chapter 3.Some More Notions of Unimodality
3.0Summary67
3.1Schur Concavity and Related Concepts of Unimodality67
3.2Generalized Unimodality Indexed by a Positive Parameter72
3.3Classes of Concave Densities and Measures84
Chapter 4.Unimodality for Discrete Distributions
4.0Summary101
4.1The Structure of Unimodal Discrete Distributions101
4.2Convolutions of Discrete Unimodal Distributions and Strong Unimodality108
4.3Unimodality of High Convolutions112
Chapter 5.Unimodality of Infinitely Divisible Distributions
5.0Summary117
5.1Infinitely Divisible Distributions117
5.2Unimodality of Symmetric Infinitely Divisible Distributions122
5.3The Unimodality of all Distributions in L128
5.4The Unimodality of Multivariate Infinitely Divisible Distributions140
Chapter 6.Unimodality and Notions of Dependence
6.0Summary147
6.1Preliminaries on Notions of Dependence147
6.2Monotonicity Properties of Probabilities Rectangular Regions151
Chapter 7.Ordering of Distributions by Peakedness
7.0Summary159
7.1Basic Results on Peakedness Ordering159
7.2Peakedness Comparisons for the Multivariate Normal and Other Suitably Unimodal Distributions165
7.3The Use of Unimodality and Peakedness Comparisons in Determining the Recurrence of Symmetric Random Walks173
Chapter 8.Applications of Unimodality in Statistical Inference
8.0Summary177
8.1Unimodality of the Likelihood Function177
8.2Estimation of a Mode187
8.3Monotonicity of the Power Functions of Certain Multivariate Tests200
8.4Shortest Confidence Intervals and Minimum Volume Confidence Regions208
Chapter 9.Convexity in Reliability Theory
9.0Summary215
9.1Some Orderings for Distributions of Nonnegative Random Variables215
9.2Univariate IFR and IFRA Classes224
9.3Multivariate IFR and IFRA Classes233
9.4Unimodality and Other Convexity Properties243
Appendix
A.1Convex Sets in R[superscript n]249
A.2Convergence of Probability Measures252
A.3Convex Sets of Probability Measures254
A.4The Brunn-Minkowski Inequality259
References261
Author Index271
Subject Index275


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Unimodality, Convexity, and Applications, In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m, Unimodality, Convexity, and Applications

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Unimodality, Convexity, and Applications, In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m, Unimodality, Convexity, and Applications

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Unimodality, Convexity, and Applications, In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of m, Unimodality, Convexity, and Applications

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