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Pitman"s measure of closeness a comparison of statistical estimators by Jerome P. Keating

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Published by Society for Industrial and Applied Mathematics in Philadelphia .
Written in English


  • Pitman"s measure of closeness.

Book details:

Edition Notes

Includes bibliographical references (p. 211-222) and index.

StatementJerome P. Keating, Robert L. Mason, Pranab K. Sen.
ContributionsMason, Robert Lee, 1946-, Sen, Pranab Kumar, 1937-, Society of Industrial Mathematics.
LC ClassificationsQA276.8 .K43 1993
The Physical Object
Paginationxv, 226 p. :
Number of Pages226
ID Numbers
Open LibraryOL1395706M
ISBN 100898713099
LC Control Number93003059

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In statistical theory, the Pitman closeness criterion, named after E. J. G. Pitman, is a way of comparing two candidate estimators for the same parameter. Under this criterion, estimator A is preferred to estimator B if the probability that estimator A is closer to the true value than estimator B is greater than one half. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle . Pitman's Measure of Closeness (PMC) is simply an idea whose time has come. Certainly there are many different ways to estimate unknown parameters, but which method should you use? Posed as an alternative to the concept of mean-squared-error, PMC is based on the probabilities of the closeness of competing estimators to an unknown parameter. On the nearness of record values to order statistics from Pitman measure of closeness. Metrika –[CrossRef], [Web of Science ®]View all references can be .

Inference , No. 1, 13–40 (; Zbl )]) based on different sample sizes for all symmetric stable distributions with exponent α (0. No matter how well you knit, if the sizing is wrong, nothing works. In Good Measure, Deborah Newton, knitting expert, designer, and author of the books Finishing School and Designing Knitwear, teaches how to personalize any knitted garment pattern to achieve a perfect, flattering fit for every shape and indispensible reference covers every aspect of fit, including /5(26). Preface This book presents a unified development of the origins, nature, methods, and applications of Pitman's measure of closeness (PMC) as a criterion in estimation. PMC is based on the probabilities of the closeness of competing estimators to an unknown parameter. Oral E. and Gunay S., , Comparing Estimators via Pitmans Measure of Closeness. Pro-ceedings of Research Symposium98 of State Institute of Statistics, Prime Ministry Republic of Turkey, Oral E. and Gunay S., , Pitmans Measure of Closeness. Proceedings of the Statistics Con-ference, Gazi University,

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