Mathematical statistics:
Explores mathematical statistics in its entirety, from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of varian...
Gespeichert in:
Beteiligte Personen: | , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons, Inc.
2018
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781119385288/?ar |
Zusammenfassung: | Explores mathematical statistics in its entirety, from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs.-Classroom-tested with exercises included -Practice-oriented (taken from day-to-day statistical work of the authors) -Includes further studies including design of experiments and sample sizing -Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics. ' |
Beschreibung: | Includes bibliographical references and index. - Online resource; title from digital title page (viewed on January 19, 2018) |
Umfang: | 1 Online-Ressource |
ISBN: | 9781119385233 1119385237 9781119385295 1119385296 9781118771075 1118771079 1119385288 9781119385288 |
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spelling | Rasch, Dieter VerfasserIn aut Mathematical statistics Dieter Rasch, Dieter Schott Hoboken, NJ John Wiley & Sons, Inc. 2018 ©2018 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from digital title page (viewed on January 19, 2018) Explores mathematical statistics in its entirety, from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs.-Classroom-tested with exercises included -Practice-oriented (taken from day-to-day statistical work of the authors) -Includes further studies including design of experiments and sample sizing -Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics. ' Mathematical statistics MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Schott, Dieter VerfasserIn aut 9781119385288 Erscheint auch als Druck-Ausgabe 9781119385288 |
spellingShingle | Rasch, Dieter Schott, Dieter Mathematical statistics Mathematical statistics MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
title | Mathematical statistics |
title_auth | Mathematical statistics |
title_exact_search | Mathematical statistics |
title_full | Mathematical statistics Dieter Rasch, Dieter Schott |
title_fullStr | Mathematical statistics Dieter Rasch, Dieter Schott |
title_full_unstemmed | Mathematical statistics Dieter Rasch, Dieter Schott |
title_short | Mathematical statistics |
title_sort | mathematical statistics |
topic | Mathematical statistics MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
topic_facet | Mathematical statistics MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
work_keys_str_mv | AT raschdieter mathematicalstatistics AT schottdieter mathematicalstatistics |