Bootstrapping : a nonparametric approach to statistical inference /

Using real data examples, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distribution of the statistics cannot be assumed normal, as well as when the sampling distribution has no analytic solution.

Bibliographic Details
Main Author: Mooney, Christopher Z.
Other Authors: Duval, Robert D.
Format: eBook
Language:English
Published: Newbury Park, [Calif.] ; London : SAGE, [1993]
Series:Quantitative applications in the social sciences ; no. 07-095.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Using real data examples, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distribution of the statistics cannot be assumed normal, as well as when the sampling distribution has no analytic solution.
Item Description:Electronic resource.
Physical Description:1 online resource (vi, 73p.) : illustrations.
Bibliography:Includes bibliographical references.
ISBN:9781412983532 (ebook) :