Applied Regression Analysis (Wiley Series in Probability and Statistics)

Draper, Norman R.; Smith, Harry

ISBN 10: 0471170828 / ISBN 13: 9780471170822

Verlag: Wiley-Interscience, 1998

Beschreibung

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâ re not satisfied with purchase please return item for full refund. Ships USPS Media Mail. Bestandsnummer des Verkäufers OTV.0471170828.VG

Bibliografische Details

Titel: Applied Regression Analysis (Wiley Series in...

Verlag: Wiley-Interscience

Erscheinungsdatum: 1998

Einband: Hardcover

Zustand: very_good

Auflage: 3. Auflage

Über diesen Titel

Inhaltsangabe:

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

Über die Autorin bzw. den Autor:

NORMAN R. DRAPER teaches in the Department of Statistics at the University of Wisconsin. HARRY SMITH is a former faculty member of the Mt. Sinai School of Medicine.