Marie Husková / Rudolf Beran / Václav Dupac (Hgg.)

Collected Works of Jaroslav Hájek

With Commentary
Herausgegeben von Husková, Marie; Beran, Rudolf; Dupac, Václav

• Gebundenes Buch

Produktbeschreibung

Jaroslav Hajek has been of the most important figures in theoretical statistics, particularly nonparametric statistics, and his work continues to be of fundamental importance to current research in the area.

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"Hájek was undoubtedly a statistician of enormous power who, in his relatively short life, contributed fundamental results over a wide range of topics..." V. Barnett, University of Nottingham.
Hájek s writings in statistics are not only seminal but form a powerful unified body of theory. This is particularly the case with his studies of non-parametric statistics. His book "The Theory of Rank Test", with ?idák, was described by W. Hoeffding as almost the last word on the subject. Hájek s work still has great importance today, for example his research has proved highly relevant to recent investigations on bootstrap diagnostics. Much of Hájek s work is scattered through the literature and some of it quite inaccessible, existing only in the original Czech version. This book provides a valuable unified text of the collective works of Hájek with additional essays by internationally renowned contributors. Undoubtedly this book will be essential reading to modern researchers in nonparametric statistics.

Produktdetails

• Wiley Series in Probability and Statistics
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 696
• Erscheinungstermin: 29. Juni 1998
• Englisch
• Abmessung: 235mm x 157mm x 45mm
• Gewicht: 1090g
• ISBN-13: 9780471975861
• ISBN-10: 0471975869
• Artikelnr.: 22964243

Autorenporträt

Marie Husková is a Czech mathematician who worked in theoretical statistics and change-point problem. She was a doctoral student of Jaroslav Hájek. In 2012 she was awarded by title Officer of the Order of Orange-Nassau for long term cooperation with Dutch mathematical statisticians. R. Beran compiled Collected Works of Jaroslav Hajek: With Commentary, published by Wiley. V. Dupac compiled Collected Works of Jaroslav Hajek: With Commentary, published by Wiley.

Inhaltsangabe

HISTORICAL OVERVIEW. Biography of Jaroslav Hájek. Hájek and the
Superefficiency Breakthrough. Jaroslav Hájek and His Impact on the Theory
of Rank Tests. Recollection of My Contacts with Jaroslav Hájek. On Some
Early Papers of Jaroslav Hájek. Contributions of Jaroslav Hájek to
Statistical Inference on Stochastic Processes. The Hájek Perspectives in
Finite Population Sampling. Publications of Jaroslav Hájek. Hájek PhD
Students. COLLECTED WORKS OF JAROSLAV HÁJEK Representative Cluster Sampling
by a Method of Two Phases. Some Rank Distributions and Their Applications.
Generalization of an Inequality of Kolmogorov. Asymptotic Efficiency of a
Certain Sequence of Tests. Linear Estimation of the Mean Value of a
Stationary Random Process with Convex Correlation Function. Inequalities
for the Generalized Student's Distribution and their Applications.
Predicting a Stationary Process when the Correlation Function is Convex. A
Property of J-Divergence of Marginal Probability Distributions. On a
Property of Normal Distributions of Any Stochastic Process. On the
Distribution of Some Statistics in the Presence of Intraclass Correlation.
On the Theory of Ratio Estimates. Some Contributions to the Theory of
Probability Sampling. Optimum Strategy and Other Problems in Probability
Sampling. On a Simple Linear Model in Gaussian Processes. Limiting
Distributions in Simple Random Sampling from a Finite Population. On Plane
Sample and Related Geometrical Problems. Some Extensions of the
Wald-Wolfowitz-Noether Theorem. On Linear Estimation Theory for an Infinite
Number of Observations. Concerning Relative Accuracy of Stratified and
Systematic Sampling in a Plane. On Linear Statistical Problems in
Stochastic Processes. An Inequality Concerning Random Linear Functionals on
a Linear Space with a Random Norm and Its Statistical Application.
Asymptotically Most Powerful Rank-Order Tests. Cost Minimization in
Miltiparameter Estimation. Asymptotic Theory of Rejective Sampling with
Varying Probabilities from a Finite Population. Extension of the
Kolmogorov-Smirnov Test to Regression Alternatives. On Basic Concepts of
Statistics. Locally Most Powerful Rank Tests of Independence. Asymptotic
Normality of Simple Linear Rank Statistics Under Alternatives. Asymptotic
Normality of Simple Linear Rank Statistics Under Alternatives II.
Miscellaneous Problems of Rank Test Theory. A Characterization of Limiting
Distributions of Regular Estimates. Limiting Properties of Likelihoods and
Inference. Local Asymptotic Minimax and Admissibility in Estimation.
Asymptotic Sufficiency of the Vector of Ranks in the Bahadur Sense.
Regression Designs in Autoregressive Stochastic Processes. Asymptotic
Theories of Sampling with Varying Probabilities without Replacement.