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Advances in Distribution Theory, Order Statistics, and Inference

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Cover of '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
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Title
Advances in Distribution Theory, Order Statistics, and Inference
Published by
Birkhäuser Boston, January 2006
DOI 10.1007/0-8176-4487-3
ISBNs
978-0-8176-4487-1, 978-0-8176-4361-4
Authors

Balakrishnan, N, Sarabia, José-Mariá, Castillo, Enrique

Editors

Balakrishnan, N., Sarabia, José María, Castillo, Enrique

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Belgium 1 2%
Brazil 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 11 25%
Professor > Associate Professor 7 16%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 9 20%
Readers by discipline Count As %
Mathematics 11 25%
Economics, Econometrics and Finance 6 14%
Engineering 5 11%
Physics and Astronomy 4 9%
Computer Science 3 7%
Other 10 23%
Unknown 5 11%