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.
| Основен автор: | Mooney, Christopher Z. |
|---|---|
| Други автори: | Duval, Robert D. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Newbury Park, Calif. :
Sage Publications,
℗♭1993.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-095. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24696 |
| Подобни документи: |
Print version::
Bootstrapping. |
| Резюме: |
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. |
|---|---|
| Физически характеристики: |
1 online resource (vi, 73 pages) : illustrations. |
| Библиография: |
Includes bibliographical references (pages 68-72). |
| ISBN: |
0585216762 9780585216768 9781412983532 1412983533 080395381X 9780803953819 |