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M-statistics = optimal statistical inference for a small sample /

Record Type:	Electronic resources : Monograph/item
Title/Author:	M-statistics/ Eugene Demidenko.
Reminder of title:	optimal statistical inference for a small sample /
remainder title:	Mathematical statistics
Author:	Demidenko, Eugene,
Published:	Hoboken, NJ :John Wiley & Sons, : c2023.,
Description:	1 online resource (xii, 222 p.) :ill. (some col.)
Subject:	Mathematical statistics. -
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119891826
ISBN:	9781119891826

M-statistics = optimal statistical inference for a small sample /
Demidenko, Eugene,1948-

M-statisticsoptimal statistical inference for a small sample /[electronic resource] :Mathematical statisticsEugene Demidenko. - 1st ed. - Hoboken, NJ :John Wiley & Sons,c2023. - 1 online resource (xii, 222 p.) :ill. (some col.)

Includes bibliographical references and index.

"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."--

ISBN: 9781119891826Subjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276.A2 / D46 2023

Dewey Class. No.: 519.5/4

M-statistics = optimal statistical inference for a small sample /
LDR:02065cmm a2200349 a 4500 001 2373266
003 OCoLC
005 20240923072503.0
006 m o d
007 cr cnu---unuuu
008 241205s2023 njua ob 001 0 eng
020 $a 9781119891826 $q (electronic bk.)
020 $a 1119891825 $q (electronic bk.)
020 $a 9781119891819 $q (epub)
020 $a 1119891817 $q (epub)
020 $a 9781119891802 $q (adobe pdf)
020 $a 1119891809 $q (adobe pdf)
020 $z 9781119891796 $q (hardcover)
020 $z 1119891795 $q (hardcover)
035 $a 1375661421
040 $a DLC $b eng $c DLC $d OCLCF $d YDX $d OCLCO $d DG1 $d ORMDA
041 0 $a eng
050 0 4 $a QA276.A2 $b D46 2023
082 0 0 $a 519.5/4 $2 23
100 1 $a Demidenko, Eugene, $d 1948- $3 2147982
245 1 0 $a M-statistics $h [electronic resource] : $b optimal statistical inference for a small sample / $c Eugene Demidenko.
246 3 0 $a Mathematical statistics
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c c2023.
300 $a 1 online resource (xii, 222 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
520 $a "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."-- $c Provided by publisher
588 $a Description based on print version record.
650 0 $a Mathematical statistics. $3 516858
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119891826