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Maximum likelihood estimation and inference [[electronic resource] ] : with examples in R, SAS, and ADMB / / Russell B. Millar



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Autore: Millar R. B (Russell B.) Visualizza persona
Titolo: Maximum likelihood estimation and inference [[electronic resource] ] : with examples in R, SAS, and ADMB / / Russell B. Millar Visualizza cluster
Pubblicazione: Chichester, Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2011
Descrizione fisica: 1 online resource (378 p.)
Disciplina: 519.5/44
Soggetto topico: Estimation theory
Chance - Mathematical models
R (Computer program language)
Classificazione: MAT029000
SK 830
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations.
Sommario/riassunto: "Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"--
Titolo autorizzato: Maximum likelihood estimation and inference  Visualizza cluster
ISBN: 1-119-97771-1
1-283-20291-3
9786613202918
0-470-09484-2
0-470-09483-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910133223203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Statistics in practice.