Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Editore: Cambridge University Press CUP, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
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Editore: Cambridge University Press, 2008
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
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Editore: Cambridge University Press, 2008
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Editore: Cambridge University Press, 2008
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
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Editore: Cambridge University Press, Cambridge, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
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Hardcover. Condizione: new. Hardcover. Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code. Choosing a model is central to all statistical work with data; this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. Real-data examples and exercises build familiarity with the methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code.
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Editore: Cambridge University Press, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Editore: Cambridge University Press, Cambridge, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code. Choosing a model is central to all statistical work with data; this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. Real-data examples and exercises build familiarity with the methods. 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.
Editore: Cambridge University Press, Cambridge, 2008
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code. Choosing a model is central to all statistical work with data; this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. Real-data examples and exercises build familiarity with the 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.
Editore: Cambridge University Press, 2014
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 106,55
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Choosing a model is central to all statistical work with data this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. Real-data exa.
Editore: Cambridge University Press, 2014
ISBN 10: 0521852250 ISBN 13: 9780521852258
Lingua: Inglese
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Model Selection and Model Averaging | Gerda Claeskens (u. a.) | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9780521852258 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.