Bootstrap: Difference between revisions
Jump to navigation
Jump to search
(New page: {{encyclopedia|moderator=Reetta}} <section begin=glossary /> :'''Bootstrap''' is a statistical technique based on multiple re-sampling with replacement of the sample values or re-sampling...) |
No edit summary |
||
| Line 2: | Line 2: | ||
<section begin=glossary /> | <section begin=glossary /> | ||
:'''Bootstrap''' is a statistical technique based on multiple re-sampling with replacement of the sample values or re-sampling of estimated distributions of the sample values that is used to calculate confidence limits or perform statistical tests for complex situations or where the distribution of an estimate or test statistic cannot be assumed. | :'''Bootstrap''' is a statistical technique based on multiple re-sampling with replacement of the sample values or re-sampling of estimated distributions of the sample values that is used to calculate confidence limits or perform statistical tests for complex situations or where the distribution of an estimate or test statistic cannot be assumed.<ref name="WHO report">[http://www.who.int/ipcs/methods/harmonization/draft_document_for_comment.pdf WHO Report]</ref> | ||
<section end=glossary /> | <section end=glossary /> | ||
==References== | |||
<references/> | |||
[[Category:Glossary term]] | [[Category:Glossary term]] | ||
Latest revision as of 14:54, 12 August 2009
This page is a encyclopedia article.
The page identifier is Op_en3387 |
|---|
| Moderator:Reetta (see all) |
|
|
| Upload data
|
<section begin=glossary />
- Bootstrap is a statistical technique based on multiple re-sampling with replacement of the sample values or re-sampling of estimated distributions of the sample values that is used to calculate confidence limits or perform statistical tests for complex situations or where the distribution of an estimate or test statistic cannot be assumed.[1]
<section end=glossary />