Maximum likelihood estimation and inference: with examples in R, SAS, and ADMB
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
©2011
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 Volltext |
| Beschreibung: | "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"-- "This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (pages) |
| ISBN: | 9780470094846 0470094842 |
Internformat
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| 500 | |a "This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"-- | ||
| 500 | |a Includes bibliographical references and index | ||
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Datensatz im Suchindex
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| author | Millar, R. B. |
| author_facet | Millar, R. B. |
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| dewey-full | 519.5/44 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/44 |
| dewey-search | 519.5/44 |
| dewey-sort | 3519.5 244 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| isbn | 9780470094846 0470094842 |
| language | English |
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| spelling | Millar, R. B. Verfasser aut Maximum likelihood estimation and inference with examples in R, SAS, and ADMB Russell B. Millar Hoboken, N.J. Wiley ©2011 1 Online-Ressource (pages) txt rdacontent c rdamedia cr rdacarrier "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"-- "This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"-- Includes bibliographical references and index Online-Ausgabe Mode of access: World Wide Web MATHEMATICS / Probability & Statistics / General bisacsh Mathematisches Modell Estimation theory Chance / Mathematical models Likelihood-Funktion (DE-588)4657256-9 gnd rswk-swf Inferenzstatistik (DE-588)4247120-5 gnd rswk-swf Schätztheorie (DE-588)4121608-8 gnd rswk-swf Likelihood-Funktion (DE-588)4657256-9 s Schätztheorie (DE-588)4121608-8 s Inferenzstatistik (DE-588)4247120-5 s 1\p DE-604 Reproduktion von Millar, R. B. Maximum likelihood estimation and inference ©2011 https://onlinelibrary.wiley.com/doi/book/10.1002/9780470094846 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Millar, R. B. Maximum likelihood estimation and inference with examples in R, SAS, and ADMB MATHEMATICS / Probability & Statistics / General bisacsh Mathematisches Modell Estimation theory Chance / Mathematical models Likelihood-Funktion (DE-588)4657256-9 gnd Inferenzstatistik (DE-588)4247120-5 gnd Schätztheorie (DE-588)4121608-8 gnd |
| subject_GND | (DE-588)4657256-9 (DE-588)4247120-5 (DE-588)4121608-8 |
| title | Maximum likelihood estimation and inference with examples in R, SAS, and ADMB |
| title_auth | Maximum likelihood estimation and inference with examples in R, SAS, and ADMB |
| title_exact_search | Maximum likelihood estimation and inference with examples in R, SAS, and ADMB |
| title_full | Maximum likelihood estimation and inference with examples in R, SAS, and ADMB Russell B. Millar |
| title_fullStr | Maximum likelihood estimation and inference with examples in R, SAS, and ADMB Russell B. Millar |
| title_full_unstemmed | Maximum likelihood estimation and inference with examples in R, SAS, and ADMB Russell B. Millar |
| title_short | Maximum likelihood estimation and inference |
| title_sort | maximum likelihood estimation and inference with examples in r sas and admb |
| title_sub | with examples in R, SAS, and ADMB |
| topic | MATHEMATICS / Probability & Statistics / General bisacsh Mathematisches Modell Estimation theory Chance / Mathematical models Likelihood-Funktion (DE-588)4657256-9 gnd Inferenzstatistik (DE-588)4247120-5 gnd Schätztheorie (DE-588)4121608-8 gnd |
| topic_facet | MATHEMATICS / Probability & Statistics / General Mathematisches Modell Estimation theory Chance / Mathematical models Likelihood-Funktion Inferenzstatistik Schätztheorie |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9780470094846 |
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