Format:
1 Online-Ressource (VIII, 250 Seiten)
,
Illustrationen
ISBN:
9781107741973
Series Statement:
Institute of Mathematical Statistics textbooks 6
Content:
Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9781107415041
Additional Edition:
ISBN 9781107071056
Additional Edition:
ISBN 9781107415041
Additional Edition:
Erscheint auch als Druck-Ausgabe Wood, Simon N. Core statistics New York, NY : Cambridge University Press, 2015 ISBN 9781107071056
Additional Edition:
ISBN 9781107415041
Additional Edition:
Print version ISBN 9781107071056
Language:
English
Subjects:
Economics
Keywords:
Statistik
;
Lehrbuch
DOI:
10.1017/CBO9781107741973
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