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asymptotically sufficient statistic

См. также в других словарях:

  • Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …   Wikipedia

  • Logrank test — In statistics, the logrank test is a hypothesis test to compare the survival distributions of two samples. It is a nonparametric test and appropriate to use when the data are right skewed and censored (technically, the censoring must be non… …   Wikipedia

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  • Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

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  • Standard error (statistics) — For a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value. The standard error is the standard… …   Wikipedia

  • Chi-squared test — Chi square test is often shorthand for Pearson s chi square test. A chi square test, also referred to as chi squared test or χ2 test, is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi square… …   Wikipedia

  • Homoscedasticity — Plot with random data showing homoscedasticity. In statistics, a sequence or a vector of random variables is homoscedastic (   …   Wikipedia

  • David A. Freedman (statistician) — David A. Freedman (1938 – 2008) was Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose wide ranging research included the analysis of martingale inequalities, Markov processes …   Wikipedia

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