Springer Series in Statistics - Permutation, Parametric, and Bootstrap Tests of Hypotheses Phillip Good Hardcover

Condition is Good - Used.

Note: There is some marking/writing on blank page in the front of the book.

Please review the pictures for additional details and the condition of this item.

Feel free to contact me if you have any questions or would like additional information about the item. I will carefully package and ship your item via USPS once payment is received, usually within one to two business days.

Your satisfaction is important to me so if you are not happy with your purchase please let me know and I will do what I can to make it right.

Thanks for visiting my eBay store and be sure to check my out other items!

(From the Back Cover)

This text will equip both practitioners and theorists with the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. Its intuitive and informal style makes it suitable as a text for both students and researchers. It can serve as the basis a one- or two-semester graduate course as well as a standard handbook of statistical procedures for the practitioners’ desk.

Parametric, permutation, and bootstrap procedures for testing hypotheses are developed side by side. The emphasis on distribution-free permutation procedures will enable workers in applied fields to use the most powerful statistic for their applications and satisfy regulatory agency demands for methods that yield exact significance levels, not approximations. Algebra and an understanding of discrete probability will take the reader through all but the appendix, which utilizes probability measures in its proofs.