Advances in Distribution Theory, Order Statistics, and Inference

Table of Contents

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   Book Overview
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   Chapter 1 Stochastic Comparisons of Bernoulli Sums and Binomial Random Variables
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   Chapter 2 Stopped Compound Poisson Process and Related Distributions
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   Chapter 3 Constructions of Discrete Bivariate Distributions
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   Chapter 4 The Normal-Laplace Distribution and Its Relatives
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   Chapter 5 Some Observations on a Simple Means of Generating Skew Distributions
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   Chapter 6 Bivariate Distributions Based on the Generalized Three-Parameter Beta Distribution
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   Chapter 7 A Kotz-Type Distribution for Multivariate Statistical Inference
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   Chapter 8 Range of Correlation Matrices for Dependent Random Variables with Given Marginal Distributions
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    Chapter 9 Multifractional Probabilistic Laws
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    Chapter 10 Topics in the History of Order Statistics
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    Chapter 11 Order Statistics from Independent Exponential Random Variables and the Sum of the Top Order Statistics
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    Chapter 12 Fisher Information and Tukey’s Linear Sensitivity Measure Based on Ordered Ranked Set Samples
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    Chapter 13 Information Measures for Pareto Distributions and Order Statistics
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    Chapter 14 Confidence Coefficients of Interpolated Nonparametric Sign Intervals for Medians Under No or Weak Shape Assumptions
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    Chapter 15 Small Sample Asymptotics for Higher-Order Spacings
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    Chapter 16 Best Bounds on Expectations of L-Statistics from Bounded Samples
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    Chapter 17 The Failure Rates of Mixtures
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    Chapter 18 Characterizations of the Relative Behavior of Two Systems via Properties of Their Signature Vectors
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    Chapter 19 Systems with Exchangeable Components and Gumbel Exponential Distribution
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    Chapter 20 Estimating the Mean of Exponential Distribution from Step-Stress Life Test Data
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    Chapter 21 Random Stress-Dependent Strength Models Through Bivariate Exponential Conditionals Distributions
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    Chapter 22 Some New Methods for Local Sensitivity Analysis in Statistics
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    Chapter 23 t-Tests with Models Close to the Normal Distribution
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    Chapter 24 Computational Aspect of the Chi-Square Goodness-of-Fit Test Application
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    Chapter 25 An Objective Bayesian Procedure for Variable Selection in Regression
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    Chapter 26 On Bayesian and Decision-Theoretic Approaches to Statistical Prediction
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    Chapter 27 Phi-Divergence-Type Test for Positive Dependence Alternatives in 2×k Contingency Tables
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    Chapter 28 Dimension Reduction in Multivariate Time Series
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    Chapter 29 The Hat Problem and Some Variations