Maximum likelihood estimation and inference with examples in R, SAS, and ADMB /

"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 wid...

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Tác giả chính: Millar, R. B. (Russell B.)
Định dạng: Điện tử eBook
Ngôn ngữ:Tiếng Anh
Được phát hành: Chichester, Sussex, U.K. ; Hoboken, N.J. : Wiley, 2011.
Loạt:Statistics in practice.
Những chủ đề:
Truy cập trực tuyến:https://biblioteca.ues.edu.sv/acceso/elibro/?url=https%3A%2F%2Felibro.net%2Fereader%2Fbiblioues/178939
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100 1 |a Millar, R. B.  |q (Russell B.) 
245 1 0 |a Maximum likelihood estimation and inference  |h [electronic resource] :  |b with examples in R, SAS, and ADMB /  |c Russell B. Millar. 
260 |a Chichester, Sussex, U.K. ;  |a Hoboken, N.J. :  |b Wiley,  |c 2011. 
300 |a xvi, 357 p. :  |b ill. 
490 1 |a Statistics in practice 
504 |a Includes bibliographical references and index. 
505 0 |a pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations. 
520 |a "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"--  |c Provided by publisher. 
588 |a Description based on metadata supplied by the publisher and other sources. 
590 |a Electronic reproduction. Santa Fe, Arg.: elibro, 2022. Available via World Wide Web. Access may be limited to eLibro affiliated libraries. 
650 0 |a Estimation theory. 
650 0 |a Chance  |x Mathematical models. 
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830 0 |a Statistics in practice. 
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