1.

Record Nr.

UNINA990009423380403321

Autore

Schelling, Thomas

Titolo

National income behavior : an introduction to Algebraic Analysis / by Thomas C. Schelling

Pubbl/distr/stampa

New York : MacGraw-Hill, 1951

Descrizione fisica

X, 291 p. ; 23 cm

Disciplina

512

Locazione

FGBC

Collocazione

XV C 32

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910158707503321

Autore

Pereira Basilio de Bragança

Titolo

Model Choice in Nonnested Families / / by Basilio de Bragança Pereira, Carlos Alberto de Bragança Pereira

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016

ISBN

3-662-53736-2

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (X, 96 p. 5 illus., 2 illus. in color.)

Collana

SpringerBriefs in Statistics, , 2191-5458

Disciplina

519.5

Soggetti

Statistics

Biometry

Econometrics

Mathematical statistics - Data processing

Statistical Theory and Methods

Statistics in Business, Management, Economics, Finance, Insurance

Biostatistics

Statistics and Computing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa



Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Preliminaries -- Frequentist Methods -- Bayesian Methods -- Support and Simulation Methods -- Maximum Likelihood Estimation -- Index.

Sommario/riassunto

This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.