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

"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 ho...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Demidenko, Eugene, 1948- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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035 |a (OCoLC)1375661421  |z (OCoLC)1396763793 
037 |a 9781119891796  |b O'Reilly Media 
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082 0 0 |a 519.5/4  |2 23/eng20230410 
049 |a UAMI 
100 1 |a Demidenko, Eugene,  |d 1948-  |e author. 
245 1 0 |a M-statistics :  |b optimal statistical inference for a small sample /  |c Eugene Demidenko. 
246 3 0 |a Mathematical statistics 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c [2023] 
300 |a 1 online resource (xii, 222 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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 online resource; title from digital title page (viewed on September 19, 2023). 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Mathematical statistics. 
650 7 |a Mathematical statistics  |2 fast 
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776 0 8 |i Print version:  |a Demidenko, Eugene, 1948-  |t M-statistics  |d Hoboken, NJ : Wiley, 2023  |z 9781119891796  |w (DLC) 2023000520 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781119891796/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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