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The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis.
The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.
Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics.
The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis.
The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.
Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics.
Comprehensive coverage of estimation and hypothesis testing, frequentist and Bayesian paradigms, large and small sample methods, and the theory underlying numerical algorithms
Detailed and rigorous exposition designed to make the material clear and accessible
Rich collection of exercises, many with solutions, pushing students to learn the material well enough to use it in their own research and helping them appreciate its relevance to diverse applications
Request lecturer material: [...]
Erscheinungsjahr: | 2010 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 538 |
Inhalt: |
xviii
538 S. |
ISBN-13: | 9780387938387 |
ISBN-10: | 0387938389 |
Sprache: | Englisch |
Herstellernummer: | 11589143 |
Einband: | Gebunden |
Autor: | Keener, Robert W |
Auflage: | 2010 edition |
Hersteller: |
Springer Us
Springer US, New York, N.Y. |
Maße: | 242 x 164 x 38 mm |
Von/Mit: | Robert W Keener |
Erscheinungsdatum: | 17.09.2010 |
Gewicht: | 0,96 kg |
Comprehensive coverage of estimation and hypothesis testing, frequentist and Bayesian paradigms, large and small sample methods, and the theory underlying numerical algorithms
Detailed and rigorous exposition designed to make the material clear and accessible
Rich collection of exercises, many with solutions, pushing students to learn the material well enough to use it in their own research and helping them appreciate its relevance to diverse applications
Request lecturer material: [...]
Erscheinungsjahr: | 2010 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 538 |
Inhalt: |
xviii
538 S. |
ISBN-13: | 9780387938387 |
ISBN-10: | 0387938389 |
Sprache: | Englisch |
Herstellernummer: | 11589143 |
Einband: | Gebunden |
Autor: | Keener, Robert W |
Auflage: | 2010 edition |
Hersteller: |
Springer Us
Springer US, New York, N.Y. |
Maße: | 242 x 164 x 38 mm |
Von/Mit: | Robert W Keener |
Erscheinungsdatum: | 17.09.2010 |
Gewicht: | 0,96 kg |