Applied regression analysis [Fitting a straight line by least squares -- The matrix approach to linear regression -- Examination of residuals -- Two independent variables -- More complicated models -- Selecting the best regression equation -- A specific problem -- Multiple regression and mathematical model building -- Multiple regression applied to analysis of variance problems -- An introduction to nonlinear estimation]

Draper, Norman Richard. ; Smith, Harry, 1923-2012

ISBN 10: 0471221708 / ISBN 13: 9780471221708

Edité par New York : Wiley, 1966, 1966

A propos de cet article

ix, 407 p. illus. 24 cm. ; ISBN: 0471221708; 9780471221708; National Library: 000980242 LCCN: 66-17641 ; LC: QA276; Dewey: 519; NLM: HA 29 D766a 1966; NAL: QA276 ; OCLC: 175071 ; grey cloth ; no dustjacket ; Contents: Fitting a straight line by least squares -- The matrix approach to linear regression -- Examination of residuals -- Two independent variables -- More complicated models -- Selecting the best regression equation -- A specific problem -- Multiple regression and mathematical model building -- Multiple regression applied to analysis of variance problems -- An introduction to nonlinear estimation ;

N° de réf. du vendeur 006886

Détails bibliographiques

• Titre: Applied regression analysis [Fitting a straight line by least squares -- The matrix approach to linear regression -- Examination of residuals -- Two independent variables -- More complicated models -- Selecting the best regression equation -- A specific problem -- Multiple regression and mathematical model building -- Multiple regression applied to analysis of variance problems -- An introduction to nonlinear estimation]
• Éditeur: New York : Wiley, 1966
• Date de parution: 1966
• Langue: anglais
• ISBN à 10 chiffres: 0471221708
• ISBN à 13 chiffres: 9780471221708
• Reliure: Hardcover
• État de l'article: Fine
• État de la jaquette: No Jacket
• Type de livre: Book

A propos de ce titre

Synopsis

Applied Regression Analysis (Wiley Series in Probability and Mathematical Statistics)