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The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
Gerhard Dikta has been a full-time professor at the Department of Medical Engineering and Technomathematics within the University of Applied Sciences, FH-Aachen, since 1993. He has also been an adjunct professor at the Department of Mathematics of the University of Wisconsin-Milwaukee since 2004. In addition to general problems in mathematical statistics, statistical modeling, simulation and optimization, his research interests and contributions are in survival analysis and, recently, in the development of statistical test methods for model verification.
Marsel Scheer has been a data scientist at Bayer AG since 2019. He was head of biostatistics and software development at Myriad International GmbH (formerly Sividon Diagnostics GmbH) for 5 years and worked as a biometrician in diabetes research at the German Diabetes Center for 6 years. His research interests are in statistical learning and modeling, machine learning, simulation and software development.
Presents a concise introduction to bootstrap methods
Includes implementations of the algorithms in R, focusing on comprehensibility
Emphasizes goodness-of-fit tests
Provides complete proofs for those interested in theory and various applications for those interested in practice
Includes supplementary material: [...]
Introduction.- Generating random numbers.- The classical bootstrap.- Bootstrap based tests.- Regression analysis.- Goodness of fit test for generalized linear models.- boot package.- s i mTool package.- boot GOF package.- Session Info.- Notation and References.- Index.
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 272 |
| Inhalt: |
xvi
256 S. 7 s/w Illustr. 29 farbige Illustr. 256 p. 36 illus. 29 illus. in color. |
| ISBN-13: | 9783030734824 |
| ISBN-10: | 303073482X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Scheer, Marsel
Dikta, Gerhard |
| Auflage: | 1st ed. 2021 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 235 x 155 x 15 mm |
| Von/Mit: | Marsel Scheer (u. a.) |
| Erscheinungsdatum: | 12.08.2022 |
| Gewicht: | 0,417 kg |
Gerhard Dikta has been a full-time professor at the Department of Medical Engineering and Technomathematics within the University of Applied Sciences, FH-Aachen, since 1993. He has also been an adjunct professor at the Department of Mathematics of the University of Wisconsin-Milwaukee since 2004. In addition to general problems in mathematical statistics, statistical modeling, simulation and optimization, his research interests and contributions are in survival analysis and, recently, in the development of statistical test methods for model verification.
Marsel Scheer has been a data scientist at Bayer AG since 2019. He was head of biostatistics and software development at Myriad International GmbH (formerly Sividon Diagnostics GmbH) for 5 years and worked as a biometrician in diabetes research at the German Diabetes Center for 6 years. His research interests are in statistical learning and modeling, machine learning, simulation and software development.
Presents a concise introduction to bootstrap methods
Includes implementations of the algorithms in R, focusing on comprehensibility
Emphasizes goodness-of-fit tests
Provides complete proofs for those interested in theory and various applications for those interested in practice
Includes supplementary material: [...]
Introduction.- Generating random numbers.- The classical bootstrap.- Bootstrap based tests.- Regression analysis.- Goodness of fit test for generalized linear models.- boot package.- s i mTool package.- boot GOF package.- Session Info.- Notation and References.- Index.
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 272 |
| Inhalt: |
xvi
256 S. 7 s/w Illustr. 29 farbige Illustr. 256 p. 36 illus. 29 illus. in color. |
| ISBN-13: | 9783030734824 |
| ISBN-10: | 303073482X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Scheer, Marsel
Dikta, Gerhard |
| Auflage: | 1st ed. 2021 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 235 x 155 x 15 mm |
| Von/Mit: | Marsel Scheer (u. a.) |
| Erscheinungsdatum: | 12.08.2022 |
| Gewicht: | 0,417 kg |
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