๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The Jackknife: The Bootstrap and Other Resampling Plans.by Bradley Efron

โœ Scribed by Review by: Leone Y. Low

Book ID
125230387
Publisher
American Statistical Association
Year
1983
Tongue
English
Weight
91 KB
Volume
78
Category
Article
ISSN
0162-1459

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

The Jackknife, the Bootstrap and Other R
The Jackknife, the Bootstrap and Other Resampling Plans ||
โœ Efron, Bradley ๐Ÿ“‚ Article ๐Ÿ“… 1982 ๐Ÿ› Society for Industrial and Applied Mathematics ๐ŸŒ English โš– 135 KB

The Jackknife And The Bootstrap Are Nonparametric Methods For Assessing The Errors In A Statistical Estimation Problem. They Provide Several Advantages Over The Traditional Parametric Approach: The Methods Are Easy To Describe And They Apply To Arbitrarily Complicated Situations; Distribution Assump

The jackknife, the bootstrap, and other
The jackknife, the bootstrap, and other resampling plans
โœ Bradley Efron ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐Ÿ› Society for Industrial and Applied Mathematics ๐ŸŒ English โš– 766 KB

The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assump

The Jackknife, the Bootstrap and Other R
The Jackknife, the Bootstrap and Other Resampling Plans Volume 544 || Front Matter
โœ Efron, Bradley ๐Ÿ“‚ Article ๐Ÿ“… 1982 ๐Ÿ› Society for Industrial and Applied Mathematics ๐ŸŒ English โš– 245 KB

The Jackknife And The Bootstrap Are Nonparametric Methods For Assessing The Errors In A Statistical Estimation Problem. They Provide Several Advantages Over The Traditional Parametric Approach: The Methods Are Easy To Describe And They Apply To Arbitrarily Complicated Situations; Distribution Assump