Maximum likelihood estimation and inference with examples in R, SAS, and ADMB
(eBook)
Author
Contributors
Published
Chichester, Sussex, U.K. ; Hoboken, N.J. : Wiley, 2011.
Physical Desc
xvi, 357 pages : ill.
Status
More Details
Format
eBook
Language
English
Notes
Bibliography
Includes bibliographical references and index.
Description
"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.
Reproduction
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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Citations
APA Citation, 7th Edition (style guide)
Millar, R. B. (2011). Maximum likelihood estimation and inference: with examples in R, SAS, and ADMB . Wiley.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Millar, R. B. 2011. Maximum Likelihood Estimation and Inference: With Examples in R, SAS, and ADMB. Wiley.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Millar, R. B. Maximum Likelihood Estimation and Inference: With Examples in R, SAS, and ADMB Wiley, 2011.
MLA Citation, 9th Edition (style guide)Millar, R. B. Maximum Likelihood Estimation and Inference: With Examples in R, SAS, and ADMB Wiley, 2011.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
379bd8e9-d8e0-49f3-a6d7-2811b8da78bf-eng
Grouping Information
| Grouped Work ID | 379bd8e9-d8e0-49f3-a6d7-2811b8da78bf-eng |
|---|---|
| Full title | maximum likelihood estimation and inference with examples in r sas and admb |
| Author | millar r b |
| Grouping Category | book |
| Last Update | 2022-06-07 21:23:19PM |
| Last Indexed | 2024-05-04 03:21:27AM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | Oct 12, 2022 |
| Last Used | May 3, 2024 |
Marc Record
| First Detected | Aug 09, 2021 12:14:19 PM |
|---|---|
| Last File Modification Time | Nov 22, 2021 08:02:33 AM |
MARC Record
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| 100 | 1 | |a Millar, R. B.|q (Russell B.) | |
| 245 | 1 | 0 | |a Maximum likelihood estimation and inference|h [eBook] :|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. | ||
| 533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Estimation theory. | |
| 650 | 0 | |a Chance|x Mathematical models. | |
| 655 | 4 | |a Electronic books. | |
| 710 | 2 | |a ProQuest (Firm) | |
| 830 | 0 | |a Statistics in practice. | |
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| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=697473|x Prescott College|y Prescott College users click here to access |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=697473|x Yavapai Library Network|y All other users click here to access |
| 945 | |a E-Book | ||
