Название: Robust Statistics: Theory and Methods (with R), Second Edition
Автор: Ricardo A. Maronna, R. Douglas Martin, Victor J. Yohai, Matias Salibian-Barrera
Издательство: John Wiley & Sons
Год: 2019
Формат: PDF
Страниц: 453
Размер: 10.77 МБ
Язык: English
Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications.