non-parametric hypothesis

non-parametric hypothesis
непараметрическая гипотеза

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  • Non-parametric statistics — In statistics, the term non parametric statistics has at least two different meanings: The first meaning of non parametric covers techniques that do not rely on data belonging to any particular distribution. These include, among others:… …   Wikipedia

  • Parametric statistics — are statistics where the population is assumed to fit any parametrized distributions (most typically the normal distribution). The opposite is non parametric statistics.Parametric inferential statistical methods are mathematical procedures for… …   Wikipedia

  • Null hypothesis — For the periodical, see Null Hypothesis: The Journal of Unlikely Science. The practice of science involves formulating and testing hypotheses, assertions that are capable of being proven false using a test of observed data. The null hypothesis… …   Wikipedia

  • Quantitative marketing research — is the application of quantitative research techniques to the field of marketing. It has roots in both the positivist view of the world, and the modern marketing viewpoint that marketing is an interactive process in which both the buyer and… …   Wikipedia

  • 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

  • Mann–Whitney U — In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW) or Wilcoxon rank sum test) is a non parametric statistical hypothesis test for assessing whether one of two samples of independent observations tends to have… …   Wikipedia

  • Mann-Whitney U — In statistics, the Mann Whitney U test (also called the Mann Whitney Wilcoxon (MWW), Wilcoxon rank sum test, or Wilcoxon Mann Whitney test) is a non parametric test for assessing whether two samples of observations come from the same distribution …   Wikipedia

  • Exact test — In statistics, an exact (significance) test is a test where all assumptions upon which the derivation of the distribution of the test statistic is based are met, as opposed to an approximate test, in which the approximation may be made as close… …   Wikipedia

  • 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

  • Student's t-test — A t test is any statistical hypothesis test in which the test statistic follows a Student s t distribution if the null hypothesis is supported. It is most commonly applied when the test statistic would follow a normal distribution if the value of …   Wikipedia

  • Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …   Wikipedia


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