Andere Kunden interessierten sich auch für
![Time Series Econometrics]( "Time Series Econometrics")
Time Series Econometrics37,99 €![Spatial Econometrics and Spatial Statistics]( "Spatial Econometrics and Spatial Statistics")
Spatial Econometrics and Spatial Statistics74,99 €![Electrical Equipment, Its Selection and Arrangement]( "Electrical Equipment, Its Selection and Arrangement")
Electrical Equipment, Its Selection and Arrangement36,99 €![A Selection of Facts From the Best Authorities: Arranged So As to Form an Outline of the Geology of England and Wales. With a Map and Sections of the]( "A Selection of Facts From the Best Authorities: Arranged So As to Form an Outline of the Geology of England and Wales. With a Map and Sections of the")
A Selection of Facts From the Best Authorities: Arranged So As to Form an Outline of the Geology of England and Wales. With a Map and Sections of the33,99 €![WORLDVIEWS, SCIENCE & US]( "WORLDVIEWS, SCIENCE & US")
WORLDVIEWS, SCIENCE & US96,99 €![Guide to the Selection and Testing of Incandescent Lamps]( "Guide to the Selection and Testing of Incandescent Lamps")
Guide to the Selection and Testing of Incandescent Lamps28,99 €![Charles Darwin, the Founder of the Theory of Evolution and Natural Selection]( "Charles Darwin, the Founder of the Theory of Evolution and Natural Selection")
Charles Darwin, the Founder of the Theory of Evolution and Natural Selection35,99 €
New in the Second Edition: A separate chapter on Bayesian methods Complete revision of the chapter on estimation A major example from the field of near infrared spectroscopy More emphasis on cross-validation Greater focus on bootstrapping Stochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible Software available on the Internet for implementing many of the algorithms presented More examplesSubset Selection in Regression, Second Edition remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model that fits only slightly better than others. The presentation is clear, concise, and belongs on the shelf of anyone researching, using, or teaching subset selecting techniques.
Originally published in 1990, Subset Selection in Regression filled a gap in the literature, and its critical and popular success endured for more than a decade. The second edition continues that tradition and remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model. The author thoroughly updated each chapter, added material that reflects recent developments in theory and methods, and included more examples and references. The presentation is clear, concise, and as the Journal of the American Statistical Association reported about the first edition, goes "straight to the guts of a complex problem."
Originally published in 1990, Subset Selection in Regression filled a gap in the literature, and its critical and popular success endured for more than a decade. The second edition continues that tradition and remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model. The author thoroughly updated each chapter, added material that reflects recent developments in theory and methods, and included more examples and references. The presentation is clear, concise, and as the Journal of the American Statistical Association reported about the first edition, goes "straight to the guts of a complex problem."