Articoli correlati a Core Statistics
Sinossi
Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.
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Informazioni sull'autore
Simon N. Wood works as a Professor of Statistics at the University of Bath and currently holds an established research fellowship from the Engineering and Physical Sciences Research Council. He is author of the widely used R package mgcv for smooth statistical modelling and the book Generalized Additive Models: An Introduction with R, as well as a number of well-cited papers on associated statistical methods. Originally trained in physics, before a spell in theoretical ecology, he has twenty years' experience of teaching statistics at undergraduate and postgraduate level, including teaching the 'statistical computing' module of the UK Academy for PhD training in statistics, for several years.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Core Statistics (Institute of Mathematical Statistics Textbooks, Series Number 6)
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Cambridge University Press, 2015
ISBN 10: 1107071054
ISBN 13: 9781107071056
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Core Statistics (Institute of Mathematical Statistics Textbooks, Series Number 6)
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Core Statistics (Institute of Mathematical Statistics Textbooks, Series Number 6)
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Core Statistics: 6 (Institute of Mathematical Statistics Textbooks, Series Number 6)
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Condizione: New. Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods. Series: Institute of Mathematical Statistics Textbooks. Num Pages: 258 pages, 43 b/w illus. 2 tables 51 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 160 x 235 x 19. Weight in Grams: 484. . 2015. Illustrated. hardcover. . . . . Codice articolo V9781107071056
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Core Statistics
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Cambridge University Press, GB, 2015
ISBN 10: 1107071054
ISBN 13: 9781107071056
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Hardback. Condizione: New. 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. Codice articolo LU-9781107071056
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Core Statistics
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Core Statistics
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Core Statistics: 6 (Institute of Mathematical Statistics Textbooks, Series Number 6)
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Condizione: New. Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods. Series: Institute of Mathematical Statistics Textbooks. Num Pages: 258 pages, 43 b/w illus. 2 tables 51 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 160 x 235 x 19. Weight in Grams: 484. . 2015. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9781107071056
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Core Statistics (Hardcover)
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Cambridge University Press, Cambridge, 2015
ISBN 10: 1107071054
ISBN 13: 9781107071056
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Hardcover. Condizione: new. Hardcover. 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. Core Statistics is a compact starter course on the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. It delivers the theory and tools that a beginning graduate student, or any quantitative scientist, needs to make informed use of powerful statistical methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781107071056
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