Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis: Oxford Statistical Science Series, cartea 1
Autor A. C. Atkinsonen Limba Engleză Paperback – 16 dec 1987
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Specificații
ISBN-13: 9780198533719
ISBN-10: 0198533713
Pagini: 296
Ilustrații: 143 line illustrations
Dimensiuni: 154 x 232 x 16 mm
Greutate: 0.46 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Seria Oxford Statistical Science Series
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198533713
Pagini: 296
Ilustrații: 143 line illustrations
Dimensiuni: 154 x 232 x 16 mm
Greutate: 0.46 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Seria Oxford Statistical Science Series
Locul publicării:Oxford, United Kingdom
Cuprins
Introduction; The algebra of deletion; Diagnostic quantities; The presentation of results; Diagnostic plots for explanatory variables; Transformations and constructed variables; Transformations for percentages and proportions; Other constructed variables; The power transformation with shifted location; Further diagnostic quantities; Goodness of link tests; Further problems, other analyses; Appendix; References; Index.
Recenzii
'Both research statisticians and users of statistics should find this book generally both interesting and accessible...The emphasis on examples [is] appealing.' Technometrics. 'Well-written....Presents a very readable, yet thorough, introduction to the large number of techniques that can be loosely referred to as extensions to linear regression.' Choice
'An unusually actual and application oriented monograph on an important subject, which has not yet been covered sufficiently by adequate books. In his very comprehensive and illustrative mode of presentation the author gives a lively presentation of classical and new extremely useful methods of checking models and the data to which they are fitted.' Statistics
'An unusually actual and application oriented monograph on an important subject, which has not yet been covered sufficiently by adequate books. In his very comprehensive and illustrative mode of presentation the author gives a lively presentation of classical and new extremely useful methods of checking models and the data to which they are fitted.' Statistics