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Statistical Modelling by Exponential Families: 12 (Institute of Mathematical Statistics Textbooks, Series Number 12) - Hardcover
Book 11 of 15: Institute of Mathematical Statistics Textbooks
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A readable, digestible introduction to essential theory and wealth of applications, with a vast set of examples and numerous exercises.
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About the Author
Rolf Sundberg is Professor Emeritus of Statistical Science at Stockholms Universitet. His work embraces both theoretical and applied statistics, including principles of statistics, exponential families, regression, chemometrics, stereology, survey sampling inference, molecular biology, and paleoclimatology. In 2003, with M. Linder, he won the award for best theoretical paper in the Journal of Chemometrics for their work on multivariate calibration, and in 2017 he was named Statistician of the Year by the Swedish Statistical Society.
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Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12)
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Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks)
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Statistical Modelling by Exponential Families: 12 (Institute of Mathematical Statistics Textbooks, Series Number 12)
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Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12)
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Statistical Modelling by Exponential Families (Hardcover)
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Hardcover. Condition: new. Hardcover. 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-Loef 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. This readable, digestible introduction to exponential families of distributions covers the essential theory and demonstrates its use in applications. Containing a vast set of examples and numerous exercises, it is written for graduate students and researchers with a background in basic statistical inference. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781108476591
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Statistical Modelling by Exponential Families
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This readable, digestible introduction to exponential families of distributions covers the essential theory and demonstrates its use in applications. Containing a vast set of examples and numerous exercises, it is written for graduate students and researche. Seller Inventory # 276073000
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Statistical Modelling by Exponential Families: 12 (Institute of Mathematical Statistics Textbooks, Series Number 12)
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