Maximum likelihood estimation and inference: with examples in R, SAS, and ADMB
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Chichester, Sussex, U.K.
Wiley
2011
|
| Schriftenreihe: | Statistics in practice
|
| Schlagworte: | |
| Beschreibung: | Includes bibliographical references and index "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"-- |
| Beschreibung: | xvi, 357 p. |
| ISBN: | 9780470094846 9781119977711 9781119977728 9780470094839 |
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| 100 | 1 | |a Millar, R. B. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Maximum likelihood estimation and inference |b with examples in R, SAS, and ADMB |c Russell B. Millar |
| 264 | 1 | |a Chichester, Sussex, U.K. |b Wiley |c 2011 | |
| 300 | |a xvi, 357 p. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Statistics in practice | |
| 500 | |a Includes bibliographical references and index | ||
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| 505 | 0 | |a pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Estimation theory | |
| 650 | 4 | |a Chance |x Mathematical models | |
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Datensatz im Suchindex
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| author | Millar, R. B. |
| author_facet | Millar, R. B. |
| author_role | aut |
| author_sort | Millar, R. B. |
| author_variant | r b m rb rbm |
| building | Verbundindex |
| bvnumber | BV044154528 |
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| collection | ZDB-30-PAD |
| contents | pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations |
| ctrlnum | (ZDB-30-PAD)EBC697473 (ZDB-89-EBL)EBL697473 (OCoLC)754714896 (DE-599)BVBBV044154528 |
| 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 Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV044154528 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:45:15Z |
| institution | BVB |
| isbn | 9780470094846 9781119977711 9781119977728 9780470094839 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029561373 |
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| physical | xvi, 357 p. |
| psigel | ZDB-30-PAD |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Wiley |
| record_format | marc |
| series2 | Statistics in practice |
| spelling | Millar, R. B. Verfasser aut Maximum likelihood estimation and inference with examples in R, SAS, and ADMB Russell B. Millar Chichester, Sussex, U.K. Wiley 2011 xvi, 357 p. txt rdacontent c rdamedia cr rdacarrier Statistics in practice Includes bibliographical references and index "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"-- pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations Mathematisches Modell Estimation theory Chance Mathematical models Likelihood-Funktion (DE-588)4657256-9 gnd rswk-swf Schätztheorie (DE-588)4121608-8 gnd rswk-swf Inferenzstatistik (DE-588)4247120-5 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 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-09482-2 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 pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations Mathematisches Modell Estimation theory Chance Mathematical models Likelihood-Funktion (DE-588)4657256-9 gnd Schätztheorie (DE-588)4121608-8 gnd Inferenzstatistik (DE-588)4247120-5 gnd |
| subject_GND | (DE-588)4657256-9 (DE-588)4121608-8 (DE-588)4247120-5 |
| 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 | Mathematisches Modell Estimation theory Chance Mathematical models Likelihood-Funktion (DE-588)4657256-9 gnd Schätztheorie (DE-588)4121608-8 gnd Inferenzstatistik (DE-588)4247120-5 gnd |
| topic_facet | Mathematisches Modell Estimation theory Chance Mathematical models Likelihood-Funktion Schätztheorie Inferenzstatistik |
| work_keys_str_mv | AT millarrb maximumlikelihoodestimationandinferencewithexamplesinrsasandadmb |