2000, ISBN: 9780387950174

This book is about using graphs to understand the relationship between a regression model and the data to which it is fitted. Because of the way in which models are fitted, for example, b… More...

This book is about using graphs to understand the relationship between a regression model and the data to which it is fitted. Because of the way in which models are fitted, for example, by least squares, we can lose infor mation about the effect of individual observations on inferences about the form and parameters of the model. The methods developed in this book reveal how the fitted regression model depends on individual observations and on groups of observations. Robust procedures can sometimes reveal this structure, but downweight or discard some observations. The novelty in our book is to combine robustness and a forward' ' search through the data with regression diagnostics and computer graphics. We provide easily understood plots that use information from the whole sample to display the effect of each observation on a wide variety of aspects of the fitted model. This bald statement of the contents of our book masks the excitement we feel about the methods we have developed based on the forward search. We are continuously amazed, each time we analyze a new set of data, by the amount of information the plots generate and the insights they provide. We believe our book uses comparatively elementary methods to move regression in a completely new and useful direction. We have written the book to be accessible to students and users of statistical methods, as well as for professional statisticians. Buch (fremdspr.) Anthony Atkinson#Marco Riani gebundene Ausgabe, Springer US, 11.08.2000, Springer US, 2000<

2011, ISBN: 9780387950174

[ED: Buch], [PU: Springer New York], Neuware - This book is about using graphs to understand the relationship between a regression model and the data to which it is fitted. Because of the… More...

[ED: Buch], [PU: Springer New York], Neuware - This book is about using graphs to understand the relationship between a regression model and the data to which it is fitted. Because of the new way in which models are fitted, for example by least squares, we can lose information about the effect of individual observations on inferences about the form and parametersof the model. The methods developed in this book reveal how the fitted regression model depends on individual observations and on groups of observations. Robust procedures can sometimes reveal this structure, but downweight or discard some observations. The novelty in this book is to combine robustness and a 'forward' search through the data with regression diagnostics and computer graphics.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 241x160x24 mm, 348, [GW: 688g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

2000, ISBN: 0387950176

2000 Gebundene Ausgabe Regression (mathematisch), Wahrscheinlichkeitsrechnung und Statistik, GeneralizedlinearModel; Likelihood; regressionanalysis; RobustStatistics; Variance; bestfit;… More...

2000 Gebundene Ausgabe Regression (mathematisch), Wahrscheinlichkeitsrechnung und Statistik, GeneralizedlinearModel; Likelihood; regressionanalysis; RobustStatistics; Variance; bestfit; dataanalysis, mit Schutzumschlag 11, [PU:Springer New York; Springer US, New York, N.Y.]<

2000, ISBN: 0387950176

2000 Gebundene Ausgabe Regression (mathematisch), Wahrscheinlichkeitsrechnung und Statistik, GeneralizedlinearModel; Likelihood; regressionanalysis; RobustStatistics; Variance; bestfit;… More...

2000 Gebundene Ausgabe Regression (mathematisch), Wahrscheinlichkeitsrechnung und Statistik, GeneralizedlinearModel; Likelihood; regressionanalysis; RobustStatistics; Variance; bestfit; dataanalysis, mit Schutzumschlag 11, [PU:Springer New York; Springer US]<

2000, ISBN: 9780387950174

Buch, Hardcover, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2000