Comparison of the Bayesian and Frequentist Approaches to Estimation / Nejlevnější knihy
Comparison of the Bayesian and Frequentist Approaches to Estimation

Kód: 01343796

Comparison of the Bayesian and Frequentist Approaches to Estimation

Autor Francisco J. Samaniego

This monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having a solid grounding in probability ... celý popis

3313


Skladem u dodavatele v malém množství
Odesíláme za 12-15 dnů

Potřebujete více kusů?Máte-li zájem o více kusů, prověřte, prosím, nejprve dostupnost titulu na naši zákaznické podpoře.


Přidat mezi přání

Mohlo by se vám také líbit

Dárkový poukaz: Radost zaručena

Objednat dárkový poukazVíce informací

Více informací o knize Comparison of the Bayesian and Frequentist Approaches to Estimation

Nákupem získáte 331 bodů

Anotace knihy

This monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having a solid grounding in probability and statistics at the level of the year-long undergraduate course taken by statistics and mathematics majors. The necessary background on Decision Theory and the frequentist and Bayesian approaches to estimation is presented and carefully discussed in Chapters 1 3. The threshold problem -- identifying the boundary between Bayes estimators which tend to outperform standard frequentist estimators and Bayes estimators which don t -- is formulated in an analytically tractable way in Chapter 4. The formulation includes a specific (decision-theory based) criterion for comparing estimators. The centerpiece of the monograph is Chapter 5 in which, under quite general conditions, an explicit solution to the threshold is obtained for the problem of estimating a scalar parameter under squared error loss. The six chapters that follow address a variety of other contexts in which the threshold problem can be productively treated. Included are treatments of the Bayesian consensus problem, the threshold problem for estimation problems involving of multi-dimensional parameters and/or asymmetric loss, the estimation of nonidentifiable parameters, empirical Bayes methods for combining data from similar experiments and linear Bayes methods for combining data from related experiments. The final chapter provides an overview of the monograph s highlights and a discussion of areas and problems in need of further research.

Parametry knihy

Zařazení knihy Knihy v angličtině Society & social sciences Sociology & anthropology Sociology

3313

Oblíbené z jiného soudku



Osobní odběr Praha, Brno a 12903 dalších

Copyright ©2008-24 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Zásilkovně
zdarma nad 1 499 Kč.

Nacházíte se: