Stefanski l a (11 resultados)

Hardcover. Condición: ex library-very good +. CRC Press reprint. Monographs on Statistics and Applied Probability 63. xxi, 305 p. 24 cm. Ex library with labels on spine and front cover, ink stamps on top edge and title.

Condición: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Hardcover. Condición: Fair. 2013. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

paperback. Condición: Very Good. Cover and edges may have some wear.

Condición: New. pp. 588.

hardcover. Condición: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Valuable text for graduate students and reference for researchersContains R code throughout the text and in sample problems Includes unique page references to equation displaysDennis Boos and Len Stefanski are professors in the Depa.…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Valuable text for graduate students and reference for researchersContains R code throughout the text and in sample problems Includes unique page references to equation displaysDennis Boos and Len Stefanski are professors in the Depa.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.…

Condición: New. Print on Demand pp. 588.

Condición: New. PRINT ON DEMAND pp. 588.