Vai al contenuto principale della pagina

Linear models [[electronic resource] ] : an integrated approach / / Debasis Sengupta, Sreenivasa Rao Jammalamadaka



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Sengupta Debasis Visualizza persona
Titolo: Linear models [[electronic resource] ] : an integrated approach / / Debasis Sengupta, Sreenivasa Rao Jammalamadaka Visualizza cluster
Pubblicazione: River Edge, N.J., : World Scientific, c2003
Edizione: 1st ed.
Descrizione fisica: 1 online resource (646 p.)
Disciplina: 519.5
Soggetto topico: Linear models (Statistics)
Analysis of covariance
Regression analysis
Altri autori: JammalamadakaS. Rao  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references (p. 587-606) and index.
Nota di contenuto: Preface; Contents; Glossary of Abbreviations; Glossary of Matrix Notations; Chapter 1 Introduction; Chapter 2 Review of Linear Algebra; Chapter 3 Review of Statistical Results; Chapter 4 Estimation in the Linear Model; Chapter 5 Further Inference in the Linear Model; Chapter 6 Analysis of Variance in Basic Designs; Chapter 7 General Linear Model; Chapter 8 Misspecified or Unknown Dispersion; Chapter 9 Updates in the General Linear Model; Chapter 10 Multivariate Linear Model; Chapter 11 Linear Inference - Other Perspectives; Solutions to Odd-Numbered Exercises; Bibliography and Author Index
Index
Sommario/riassunto: Linear Models: An Integrated Approach aims to provide a clearand deep understanding of the general linear model using simplestatistical ideas. Elegant geometric arguments are also invoked asneeded and a review of vector spaces and matrices is provided to makethe treatment self-contained.
Titolo autorizzato: Linear models  Visualizza cluster
ISBN: 1-281-34775-2
9786611347758
981-256-490-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910821230203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Series on multivariate analysis ; ; v. 6.