Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Books Puddle, New York, NY, U.S.A.
Condizione: Used. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Majestic Books, Hounslow, Regno Unito
EUR 35,94
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used.
Lingua: Inglese
Editore: Cambridge University Press 12/15/2022, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Exponential Families in Theory and Practice. Book.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: California Books, Miami, FL, U.S.A.
EUR 46,48
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 36,38
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 49,81
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.
Lingua: Inglese
Editore: Cambridge University Press 2022-12-15, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Chiron Media, Wallingford, Regno Unito
EUR 40,72
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 47,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2022. Paperback. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 45,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 43,69
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,22
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Revaluation Books, Exeter, Regno Unito
EUR 60,45
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 200 pages. 8.75x6.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: moluna, Greven, Germania
EUR 48,37
Quantità: 1 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Über den AutorBradley Efron is Professor Emeritus of Statistics and Biomedical Data Science at Stanford University. He is the inventor of the bootstrap method for assessing statistical accuracy. He has published extensively on stati.
Lingua: Inglese
Editore: Cambridge University Press Dez 2022, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 47,59
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This book is aimed at Ph.D. and advanced M.S. students of statistics who need to understand modern statistical theory both in its exponential family structure and its applications, without requiring advanced mathematical preparation. Connections with logistic regression, survival analysis, Bayesian methods, and false discovery rates are emphasized.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Rarewaves.com UK, London, Regno Unito
EUR 45,82
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: preigu, Osnabrück, Germania
EUR 54,65
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Exponential Families in Theory and Practice | Bradley Efron | Taschenbuch | Institute of Mathematical Statistics Textbooks | Kartoniert / Broschiert | Englisch | 2022 | Cambridge University Press | EAN 9781108715669 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation. This book is aimed at Ph.D. and advanced M.S. students of statistics who need to understand modern statistical theory both in its exponential family structure and its applications, without requiring advanced mathematical preparation. Connections with logistic regression, survival analysis, Bayesian methods, and false discovery rates are emphasized. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 46,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: Revaluation Books, Exeter, Regno Unito
EUR 39,85
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 200 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: CitiRetail, Stevenage, Regno Unito
EUR 50,67
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation. This book is aimed at Ph.D. and advanced M.S. students of statistics who need to understand modern statistical theory both in its exponential family structure and its applications, without requiring advanced mathematical preparation. Connections with logistic regression, survival analysis, Bayesian methods, and false discovery rates are emphasized. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1108715664 ISBN 13: 9781108715669
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 71,92
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation. This book is aimed at Ph.D. and advanced M.S. students of statistics who need to understand modern statistical theory both in its exponential family structure and its applications, without requiring advanced mathematical preparation. Connections with logistic regression, survival analysis, Bayesian methods, and false discovery rates are emphasized. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.