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Other titles in the Statistics for Industry and Technology series:

Advances in Distribution Theory, Order Statistics, and Inference (Statistics for Industry and Technology)

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Advances in Distribution Theory, Order Statistics, and Inference (Statistics for Industry and Technology) Cover

 

Synopses & Reviews

Publisher Comments:

Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold's significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution Theory, Order Statistics, and Inference," held at the University of Cantabria, Santander, Spain. Several distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized. The volume is classified into the following five parts, according to the focus of the articles:   * Discrete distributions and applications   * Continuous distributions and applications   * Order statistics and applications   * Reliability and applications   * Inference   This comprehensive reference work will serve the statistical and applied mathematics communities, as well as practitioners, researchers, and graduate students in applied probability and statistics, reliability engineering, and biostatistics.

Synopsis:

The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized.

Synopsis:

In this volume, several distinguished and active researchers will highlight some of the recent developments in statistical distribution theory, order statistics and their properties, and some inferential methods associated with them. The volume is classified into different parts according to the focus of the articles. Applications of the distributions and inferential procedures into survival analysis, reliability, quality control, and environmental problems will be highlighted. This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners, researchers and grad students in applied probability and statistics, reliability engineering, and biostatistics.

Table of Contents

Preface Barry C. Arnold: Career and Accomplishments Publications Contributors List of Tables List of Figures Part I: Discrete Distributions and Applications P.J. Boland and H. Singh: Stochastic Comparisons of Bernoulli Sums and Binomial Random Variables C. Lefèvre: Stopped Compound Poisson Process and Related Distributions C.D. Lai: Constructions of Discrete Bvariate Dstributions Part II: Continuous Distributions and Applications W.J. Reed: The Normal-Laplace Distribution and Its Relatives A. Pewsey: Some Observations on a Simple Means of Generating Skew Distributions J.M. Sarabia and E. Castillo: Bivariate Distributions Based on the Generalized Three-Parameter Beta Distribution D.N. Naik and K. Plungpongpun: A Kotz-Type Distribution for Multivariate Statistical Inference H. Joe: Range of Correlation Matrices for Dependent Random Variables with Given Marginal Distributions M.D. Ruiz-Medina and J.M. Angulo: Multifractional Probabilistic Laws Part III: Order Statistics and Applications H.A. David: Topics in the History of Order Statistics H.N. Nagaraja: Order Statistics from Independent Exponential Random Variables and the Sum of the Top Order Statistics N. Balakrishnan and T. Li: Fisher Information and Tukey's Linear Sensitivity Measure Based on Ordered Ranked Set Samples M. Asadi, N. Ebrahimi, and G.G. Hamedani, and E.S. Soofi: Information Measures for Pareto Distributions and Order Statistics O. Guilbaud: Confidence Coefficients of Interpolated Nonparametric Sign Intervals for Medians Under No or Weak Shape Assumptions R. Gatto and S.R. Jammalamadaka: Small Sample Asymptotics for Higher-Order Spacings T. Rychlik: Best Bounds on Expectations of L-Statistics from Bounded Samples Part IV: Reliability and Applications H.W. Block: The Failure Rates of Mixtures H. Block, M.R. Dugas, and F.J. Samaniego: Characterizations of the Relative Behavior of Two Systems via Properties of Their Signature Vectors J. Navarro, J.M. Ruiz, and C.J. Sandoval: Systems with Exchangeable Components and Gumbel Exponential Distribution Z. Chen, J. Mi, and Y.Y. Zhou: Estimating the Mean of Exponential Distribution from Step-Stress Life Test Data A. SenGupta: Random Stress-Dependent Strength Models Through Exponential Conditionals Distributions Part V: Inference E. Castillo, C. Castillo, A.S. Haid, and J.M. Sarabia: Some New Methods for Local Sensitivity Analysis in Statistics A. García-Pérez: t-Tests with Models Close to the Normal Distribution M. Divinsky: Computational Aspect of the Chi-Square Goodness-of-Fit Test Applications F.J. Girón, E. Moreno, and M.L. Martínez: An Objective Bayesian Procedure for Variable Selection in Regression T.K. Nayak and A. El-Baz: On Bayesian and Decision-Theoretic Approaches to Statistical Prediction L. Pardo and M.L. Menéndez: Phi-Divergence-Type Test for Positive Dependence Alternatives in 2 x k Contingency Tables D. Pena and P. Poncela: Dimension Reduction in Multivariate Time Series W. Guo, S. Kasala, M.B. Rao, and B. Tucker: The Hat Problem and Some Variations Index

Product Details

ISBN:
9780817643614
Author:
Balakrishnan, N.
Publisher:
Birkhauser
Editor:
Jose Maria Sarabia
Editor:
Castillo, Enrique
Editor:
Maria Sarabia, Jose
Author:
Maria Sarabia, Jose
Author:
Sarabia, Jose-Maria
Author:
Jose-Maria Sarabia Alegria
Author:
Castillo, Enrique
Author:
Sarabia Alegria, Jose-Maria
Author:
Jose Maria Sarabia
Subject:
Statistics
Subject:
Applied
Subject:
Mathematical statistics
Subject:
Distribution (Probability theory)
Subject:
Probability & Statistics - General
Subject:
Bayesian inference
Subject:
bounds and orderings
Subject:
characterization problems
Subject:
continuous distributions
Subject:
discrete distributions
Subject:
Distribution Theory
Subject:
Inference
Subject:
Multivariate analysis
Subject:
Order statistics
Subject:
Quality Control
Subject:
Reliability
Subject:
Survival Analysis.
Subject:
Statistical Theory and Methods
Subject:
Probability Theory and Stochastic Processes
Subject:
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Subject:
APPLICATIONS OF MATHEMATICS
Subject:
Mathematics | Probability and Statistics
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Statistics for Industry and Technology
Publication Date:
May 2006
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
536
Dimensions:
254 x 178 mm 2750 gr

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Advances in Distribution Theory, Order Statistics, and Inference (Statistics for Industry and Technology) New Hardcover
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Product details 536 pages Birkhauser - English 9780817643614 Reviews:
"Synopsis" by , The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized.
"Synopsis" by , In this volume, several distinguished and active researchers will highlight some of the recent developments in statistical distribution theory, order statistics and their properties, and some inferential methods associated with them. The volume is classified into different parts according to the focus of the articles. Applications of the distributions and inferential procedures into survival analysis, reliability, quality control, and environmental problems will be highlighted. This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners, researchers and grad students in applied probability and statistics, reliability engineering, and biostatistics.
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