Cover image for M-statistics : optimal statistical inference for a small sample
Title:
M-statistics : optimal statistical inference for a small sample
Author:
Demidenko, Eugene, 1948- author.
ISBN:
9781119891819

9781119891802

9781119891826
Physical Description:
1 online resource (xii, 222 pages) : illustrations (some color)
Abstract:
"M-statistics: A New Statistical Perspective introduces a new approach for statistical interference, redesigning the fundamentals of statistics and improving on the classical methods we already use. The author discusses the development of new criteria for efficient estimation and delves into how two methods for statistical intereference are combined under one umbrella to create 'M statistics.' This book develops novel confidence intervals and statistical tests for statistical parameters including effect size, binomial probability, and Poisson rate, ensuring unbiased tests are developed alongside this. Suitable for professionals and students alike, this theoretical book explains how new approaches work for statistical applications and is accompanied with a GitHub repository hosting the R code for every new methodology presented."-- Provided by publisher.
Local Note:
John Wiley and Sons
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E-Book 598303-1001 QA276 .A2 D46 2023
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