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Statistical modelling by exponential families / Rolf Sundberg
(Institute of Mathematical Statistics textbooks ; 12)

Publisher	(Cambridge : Cambridge University Press)
Year	2019
Authors	*Sundberg, Rolf 1942- author

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Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00194648		Cambridge Core (電子ブック)	9781108604574

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Material Type	E-Book
Media type	機械可読データファイル
Size	1 online resource (xiv, 282 pages) : digital, PDF file(s)
Notes	Title from publisher's bibliographic system (viewed on 17 Jul 2019) This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exercises embedded within the text as well as at the ends of chapters HTTP:URL=https://doi.org/10.1017/9781108604574
Subjects	LCSH:Exponential families (Statistics) -- Problems, exercises, etc All Subject Search LCSH:Distribution (Probability theory) -- Problems, exercises, etc All Subject Search
Classification	LCC:QA276.7 DC23:519.5
ID	8000093796
ISBN	9781108604574