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eBook Concepts of Nonparametric Theory (Springer Series in Statistics) epub

by J.W. Pratt,J.D. Gibbons

eBook Concepts of Nonparametric Theory (Springer Series in Statistics) epub
  • ISBN: 0387905820
  • Author: J.W. Pratt,J.D. Gibbons
  • Genre: Science
  • Subcategory: Mathematics
  • Language: English
  • Publisher: Springer; 1981 edition (December 9, 1981)
  • Pages: 462 pages
  • ePUB size: 1596 kb
  • FB2 size 1238 kb
  • Formats docx mobi lit azw


Concepts of Nonparametric Theory. This book differs from most statistics books by including considerable philosophical and methodological discussion

Concepts of Nonparametric Theory. This book differs from most statistics books by including considerable philosophical and methodological discussion. Special attention is given to discussion of the strengths and weaknesses of various statistical methods and approaches. Difficulties that often arise in applying statistical theory to real data also receive substantial attention. The approach throughout is more conceptual than mathematical. The "Theorem-Proof" format is avoided; generally, properties are "shown," rather than "proved.

Concepts of Nonparametric Theory. Series: Springer Series in Statistics. This book explores both non parametric and general statistical ideas by developing non parametric procedures in simple situations.

Springer Series in Statistics. J. W. Pratt and J. D. Gibbons, Concepts of Nonparametric Theory. L. A. Goodman and W. H. Kruskal, Measures of Association for Cross Classifications. O. Berger, Statistical Decision Theory: Foundations, Concepts, and Methods. xiv, 425 pages, 1980. xvi, 462 pages, 1981. Estimation of Dependences based on Empirical Data. xvi, 399 pages, 1982. No part of this book may be translated or reproduced in any form without written permission from Springer-Verlag, 175 Fifth Avenue, New York, New York 10010, . Typeset by Thomson Press (India) Limited, New Delhi, India.

All of Nonparametric Statistics (Springer Texts in Statistics). The detailed proofs given in the book will help the interested reader to understand the subject better. This well written book will be welcomed by all those interested in learning the presented concepts. The author should be complimented for a good treatise with detailed proofs of several important results in nonparametric estimation theory. Ravi Sreenivasan, Zentralblatt MATH, Vol. 1176, 2010).

Pratt, . Concepts of Nonparametric Theory. New York: Springer- Verlag, 1981. 2. obinson, . addlepoint approximations for permutation tests and confidence intervals. Journal of the Royal Statistical Society, Series B 44 (1982): 91–101. spenky, . ntroduction to Mathematical Probability. New York: McGraw-Hill, 1937. Recommend this journal.

James O. Berger - Statistical decision theory and bayesian analysis (1993, Springer-Verlag). statistical decision theory and Bayesian analysis.

Springer Texts in Statistics . Alfred: Elements of Statistics for the Life and Social Sciences Berger: An Introduction to Probability and Stochastic Processes Bilodeau and Brenner: Theory of Multivariate Statistics Blom: Probability and Statistics: Theory and Applications Brockwell and Davis: Introduction to Times Series and Forecasting, Second. There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods.

Stochastic equations through the eye of the physicist basic concepts, exact results and asymptotic approximations. rewrite of the chapters dealing with risk assessment and ethics, the introduction of new theories. 81 MB·15,664 Downloads·New! and subjected to random molecular bombardment laid the foundation for modern stochastic calculus and statistical. Environmental Monitoring and Characterization. 87 MB·8,184 Downloads·New!

1981 Springer Series in Statistics Series. Concepts of Nonparametric Theory Publication date: 02-2012 462 p. · 1. x23.

1981 Springer Series in Statistics Series. Mathematica;Parameterfreier Test;Permutation;algorithms;boundary element method;constant;construction;form;functions;minimum;performance;statistical theory;statistics;theorem;transformation. Approximative price 8. 5 €. Subject to availability at the publisher.

This book explores both non parametric and general statistical ideas by developing non parametric procedures in simple situations. The major goal is to give the reader a thorough intuitive understanding of the concepts underlying nonparametric procedures and a full appreciation of the properties and operating characteristics of those procedures covered. This book differs from most statistics books by including considerable philosophical and methodological discussion. Special attention is given to discussion of the strengths and weaknesses of various statistical methods and approaches. Difficulties that often arise in applying statistical theory to real data also receive substantial attention. The approach throughout is more conceptual than mathematical. The "Theorem-Proof" format is avoided; generally, properties are "shown," rather than "proved." In most cases the ideas behind the proof of an im­ portant result are discussed intuitively in the text and formal details are left as an exercise for the reader. We feel that the reader will learn more from working such things out than from checking step-by-step a complete presen­ tation of all details.
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