jackknife method

См. также в других словарях:

• jackknife — noun A resampling method that applies estimators to all subsamples that each omit a single different group (possibly of a single datapoint) of the original sample to provide a sample distribution of the estimate. Syn: leave one out …   Wiktionary

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• Resampling (statistics) — In statistics, resampling is any of a variety of methods for doing one of the following: # Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknife) or drawing randomly with… …   Wikipedia

• Bootstrapping (statistics) — In statistics, bootstrapping is a modern, computer intensive, general purpose approach to statistical inference, falling within a broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as… …   Wikipedia

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• Combinatorial meta-analysis — (CMA) is the study of the behaviour of statistical properties of combinations of studies from a meta analytic dataset (typically in social science research). In an article that develops the notion of gravity in the context of meta analysis, Dr.… …   Wikipedia

• John Tukey — Infobox Scientist name = John Tukey caption = John Wilder Tukey birth date = birth date|1915|6|16 birth place = New Bedford, Massachusetts, USA death date = death date and age|2000|7|26|1915|6|16 death place = New Brunswick, New Jersey residence …   Wikipedia

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