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

Format:

Book

Author/Creator:

Millar, R. B. (Russell B.)

Series:

Statistics in practice.

Statistics in practice

Language:

English

Subjects (All):

Estimation theory.

Chance--Mathematical models.

Chance.

R (Computer program language).

Physical Description:

1 online resource (378 p.)

Edition:

1st ed.

Place of Publication:

Chichester, Sussex, U.K. ; Hoboken, N.J. : Wiley, 2011.

Language Note:

English

Summary:

"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"-- Provided by publisher.

Contents:

pt. 1. Preliminaries

pt. 2. Pragmatics

pt. 3. Theoretical foundations.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on metadata supplied by the publisher and other sources.

ISBN:

1-119-97771-1

1-283-20291-3

9786613202918

0-470-09484-2

0-470-09483-4

OCLC:

754714896