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1st edition. 240 pages. 8.75x5.75x0.75 inches. In Stock. Bestandsnummer des Verkäufers __0412034719
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.
Über die Autorin bzw. den Autor: Geisser\, Seymour
Titel: Predictive Inference: An Introduction
Verlag: Chapman & Hall
Erscheinungsdatum: 1993
Einband: Hardcover
Zustand: Brand New
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Fine. Used book that is in almost brand-new condition. Artikel-Nr. 47342856-6
Anzahl: 1 verfügbar
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: 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. Artikel-Nr. ABNR-131022
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Geisser, SeymourGeisser, SeymourThe author s research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over paramet. Artikel-Nr. 594618081
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists. Artikel-Nr. 9780412034718
Anzahl: 2 verfügbar