Essentials of statistical inference:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
2005
|
| Ausgabe: | 1. publ. |
| Schriftenreihe: | Cambridge series in statistical and probabilistic mathematics
[16] |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | X, 225 S. graph. Darst. |
| ISBN: | 0521839718 9780521839716 |
Internformat
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| 245 | 1 | 0 | |a Essentials of statistical inference |c G. A. Young ; R. L. Smith |
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Datensatz im Suchindex
| _version_ | 1804134573203783680 |
|---|---|
| adam_text | Contents
Preface pai,,- ¡x
1
2
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8
3
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
3.10
3.11
3.12
4
4.1
4.2
4.3
4.4
4.5
vi
5
5.1
5.2
5.3
6
6.1
6.2
6.3
6.4
6.5
7
7.1
7.2
7.3
7.4
8
8.1
8.2
8.3
8.4
8.5
8.6
8.7
9
9.1
9.2
9.3
9.4
9.5
9.6
9.7
9.8
9.9
9.10
9.11
9.12
9.13
10
10.1
10.2
10.3
10.4
Contents
10.5
10.6
10.7
11
11.1
11.2
11.3
11.4
11.5
11.6
Bibliography
Index
Essentials of Statistical Inference is a modern and accessible treatment of the
procedures used to draw formal inferences from data. Aimed at advanced under¬
graduate and graduate students in mathematics and related disciplines, as well as
those in other fields seeking a concise treatment of the key ideas of statistical infer¬
ence, it presents the concepts and results underlying the Bayesian,
and Fisherian approaches, with particular emphasis on the contrasts between
them. Contemporary computational ideas, as well as basic mathematical theory,
are explained.
Written in a lucid and informal style, this concise text provides basic material on
the main approaches to inference, as well as more advanced material on modern
developments in statistical theory, including: contemporary material on Bayesian
computation, such as MCMC; higher-order likelihood theory; predictive inference;
bootstrap methods and conditional inference. It contains numerous extended
examples of the application of formal inference techniques to real data, as well as
historical commentary on the development of the subject. Throughout, the text
concentrates on concepts, rather than on mathematical detail, while maintaining
appropriate levels of formality. Each chapter ends with a set of accessible
problems.
Based to a large extent on lectures given at the University of Cambridge over a
number of years, the material has been polished by student feedback. Some prior
knowledge of probability is assumed, while some previous knowledge of the
objectives and main approaches to statistical inference would be helpful but is not
essential.
Cambridge Series in Statistical and Probabilistic Mathematics
Editorial Board:
R. Gill (Department of Mathematics, Utrecht University)
B. D. Ripley (Department of Statistics, University of Oxford)
S.Ross (Department of Industrial Engineering, University of California, Berkeley)
B. W.
M. Stein (Department of Statistics, University of Chicago)
This series of high quality upper-division textbooks and expository monographs
covers all aspects of stochastic applicable mathematics. The topics range from
pure and applied statistics to probability theory, operations research, optimization
and mathematical programming. The books contain clear presentations of new
developments in the field and also of the state of the art in classical methods.
While emphasizing rigorous treatment of theoretical methods, the books also con¬
tain applications and discussions of new techniques made possible by advances in
computational practice.
|
| adam_txt |
Contents
Preface pai,,- ¡x
1
2
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8
3
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
3.10
3.11
3.12
4
4.1
4.2
4.3
4.4
4.5
vi
5
5.1
5.2
5.3
6
6.1
6.2
6.3
6.4
6.5
7
7.1
7.2
7.3
7.4
8
8.1
8.2
8.3
8.4
8.5
8.6
8.7
9
9.1
9.2
9.3
9.4
9.5
9.6
9.7
9.8
9.9
9.10
9.11
9.12
9.13
10
10.1
10.2
10.3
10.4
Contents
10.5
10.6
10.7
11
11.1
11.2
11.3
11.4
11.5
11.6
Bibliography
Index
Essentials of Statistical Inference is a modern and accessible treatment of the
procedures used to draw formal inferences from data. Aimed at advanced under¬
graduate and graduate students in mathematics and related disciplines, as well as
those in other fields seeking a concise treatment of the key ideas of statistical infer¬
ence, it presents the concepts and results underlying the Bayesian,
and Fisherian approaches, with particular emphasis on the contrasts between
them. Contemporary computational ideas, as well as basic mathematical theory,
are explained.
Written in a lucid and informal style, this concise text provides basic material on
the main approaches to inference, as well as more advanced material on modern
developments in statistical theory, including: contemporary material on Bayesian
computation, such as MCMC; higher-order likelihood theory; predictive inference;
bootstrap methods and conditional inference. It contains numerous extended
examples of the application of formal inference techniques to real data, as well as
historical commentary on the development of the subject. Throughout, the text
concentrates on concepts, rather than on mathematical detail, while maintaining
appropriate levels of formality. Each chapter ends with a set of accessible
problems.
Based to a large extent on lectures given at the University of Cambridge over a
number of years, the material has been polished by student feedback. Some prior
knowledge of probability is assumed, while some previous knowledge of the
objectives and main approaches to statistical inference would be helpful but is not
essential.
Cambridge Series in Statistical and Probabilistic Mathematics
Editorial Board:
R. Gill (Department of Mathematics, Utrecht University)
B. D. Ripley (Department of Statistics, University of Oxford)
S.Ross (Department of Industrial Engineering, University of California, Berkeley)
B. W.
M. Stein (Department of Statistics, University of Chicago)
This series of high quality upper-division textbooks and expository monographs
covers all aspects of stochastic applicable mathematics. The topics range from
pure and applied statistics to probability theory, operations research, optimization
and mathematical programming. The books contain clear presentations of new
developments in the field and also of the state of the art in classical methods.
While emphasizing rigorous treatment of theoretical methods, the books also con¬
tain applications and discussions of new techniques made possible by advances in
computational practice. |
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| index_date | 2024-07-02T13:21:24Z |
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| isbn | 0521839718 9780521839716 |
| language | English |
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| spelling | Young, George Alastair Verfasser aut Essentials of statistical inference G. A. Young ; R. L. Smith 1. publ. Cambridge [u.a.] Cambridge Univ. Press 2005 X, 225 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Cambridge series in statistical and probabilistic mathematics [16] Afleiding (logica) gtt Probabilités Statistique mathématique Statistische toetsen gtt Mathematical statistics Probabilities Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Inferenzstatistik (DE-588)4247120-5 gnd rswk-swf Statistische Schlussweise (DE-588)4182963-3 s DE-604 Inferenzstatistik (DE-588)4247120-5 s b DE-604 Smith, Richard L. Verfasser aut Cambridge series in statistical and probabilistic mathematics [16] (DE-604)BV011442366 16 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014177993&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014177993&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Young, George Alastair Smith, Richard L. Essentials of statistical inference Cambridge series in statistical and probabilistic mathematics Afleiding (logica) gtt Probabilités Statistique mathématique Statistische toetsen gtt Mathematical statistics Probabilities Statistische Schlussweise (DE-588)4182963-3 gnd Inferenzstatistik (DE-588)4247120-5 gnd |
| subject_GND | (DE-588)4182963-3 (DE-588)4247120-5 |
| title | Essentials of statistical inference |
| title_auth | Essentials of statistical inference |
| title_exact_search | Essentials of statistical inference |
| title_exact_search_txtP | Essentials of statistical inference |
| title_full | Essentials of statistical inference G. A. Young ; R. L. Smith |
| title_fullStr | Essentials of statistical inference G. A. Young ; R. L. Smith |
| title_full_unstemmed | Essentials of statistical inference G. A. Young ; R. L. Smith |
| title_short | Essentials of statistical inference |
| title_sort | essentials of statistical inference |
| topic | Afleiding (logica) gtt Probabilités Statistique mathématique Statistische toetsen gtt Mathematical statistics Probabilities Statistische Schlussweise (DE-588)4182963-3 gnd Inferenzstatistik (DE-588)4247120-5 gnd |
| topic_facet | Afleiding (logica) Probabilités Statistique mathématique Statistische toetsen Mathematical statistics Probabilities Statistische Schlussweise Inferenzstatistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014177993&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014177993&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV011442366 |
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