Generalized linear models examples di dunn peter (15 risultati)

Lingua: Inglese
Editore: Springer, 2018
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Lingua: Inglese
Editore: Springer, 2018
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hardcover. Condizione: Very Good. Cover and edges may have some wear.

Lingua: Inglese
Editore: Springer, 2018
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Da: medimops, Berlin, Germaniamedimops
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Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY, 2018
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Hardcover. Condizione: new. Hardcover. This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that…extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities.The book is designed with the student in mind, making it suitable for self-study or a structured course. Beginning with an introduction to linear regression, the book also devotes time to advanced topics not typically included in introductory textbooks. It features chapter introductions and summaries, clear examples, and many practice problems, all carefully designed to balance theory and practice. The text also provides a working knowledge of applied statistical practice through the extensive use of R, which is integrated into the text. Other features include: Advanced topics such as power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, small-dispersion asymptotics, and randomized quantile residuals Nearly 100 data sets in the companion R package GLMsData Examples that are cross-referenced to the companion data set, allowing readers to load the data and follow the analysis in their own R session This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Lingua: Inglese
Editore: Springer, 2018
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 562 pages. 9.25x6.25x1.25 inches. In Stock.

Lingua: Inglese
Editore: Springer-Verlag New York Inc., 2018
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Lingua: Inglese
Editore: Springer, 2018
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Lingua: Inglese
Editore: Springer, 2018
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are power…ful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities.The book is designed with the student in mind, making it suitable for self-study or a structured course. Beginning with an introduction to linear regression, the book also devotes time to advanced topics not typically included in introductory textbooks. It features chapter introductions and summaries, clear examples, and many practice problems, all carefully designed to balance theory and practice. The text also provides a working knowledge of applied statistical practice through the extensive use of R, which is integrated into the text.Other features include: - Advanced topics such as power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, small-dispersion asymptotics, and randomized quantile residuals - Nearly 100 data sets in the companion R package GLMsData - Examples that are cross-referenced to the companion data set, allowing readers to load the data and follow the analysis in their own R session.

Lingua: Inglese
Editore: Springer, 2018
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY, 2018
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condizione: new. Hardcover. This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that…extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities.The book is designed with the student in mind, making it suitable for self-study or a structured course. Beginning with an introduction to linear regression, the book also devotes time to advanced topics not typically included in introductory textbooks. It features chapter introductions and summaries, clear examples, and many practice problems, all carefully designed to balance theory and practice. The text also provides a working knowledge of applied statistical practice through the extensive use of R, which is integrated into the text. Other features include: Advanced topics such as power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, small-dispersion asymptotics, and randomized quantile residuals Nearly 100 data sets in the companion R package GLMsData Examples that are cross-referenced to the companion data set, allowing readers to load the data and follow the analysis in their own R session This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Lingua: Inglese
Editore: Springer, 2018
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer New York, 2018
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peter K. Dunn is Associate Professor in the Faculty of Science, Health, Education and Engineering at the University of the Sunshine Coast. His work focuses on mathematical statistics, in particular generali…zed linear models. He has developed methods for acc.

Lingua: Inglese
Editore: Springer, 2018
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Humana, Springer Nov 2018, 2018
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -\*This book eases students into GLMs and motivates the need for GLMs by starting with regression.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 584 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2018
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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