- distribution goodness-of-fit
- качество подгонки распределения
The New English-Russian Dictionary of Radio-electronics. F.V Lisovsky . 2005.
distribution goodness-of-fit
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Goodness of fit — The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question. Such… … Wikipedia
goodness of fit — A statistical term used to indicate the correspondence between an observed distribution and a model or hypothetical mathematical distribution. In many statistical tests of significance the hypothetical or expected distribution is a model based… … Dictionary of sociology
goodness of fit — Degree of agreement between an empirically observed distribution and a mathematical or theoretical distribution … Medical dictionary
Distribution empirique — Fonction de répartition empirique En Statistiques, une fonction de répartition empirique est une fonction de répartition qui attribue la probabilité 1/n à chacun des n nombres dans un échantillon. Soit un échantillon de variables iid à valeurs… … Wikipédia en Français
Chi-squared distribution — This article is about the mathematics of the chi squared distribution. For its uses in statistics, see chi squared test. For the music group, see Chi2 (band). Probability density function Cumulative distribution function … Wikipedia
Chi-square distribution — Probability distribution name =chi square type =density pdf cdf parameters =k > 0, degrees of freedom support =x in [0; +infty), pdf =frac{(1/2)^{k/2{Gamma(k/2)} x^{k/2 1} e^{ x/2}, cdf =frac{gamma(k/2,x/2)}{Gamma(k/2)}, mean =k, median… … Wikipedia
Negative multinomial distribution — notation: parameters: k0 ∈ N0 the number of failures before the experiment is stopped, p ∈ Rm m vector of “success” probabilities, p0 = 1 − (p1+…+pm) the probability of a “failure”. support … Wikipedia
Empirical distribution function — In statistics, an empirical distribution function is a cumulative probability distribution function that concentrates probability 1/ n at each of the n numbers in a sample.Let X 1,ldots,X n be iid random variables in mathbb{R} with the cdf F ( x… … Wikipedia
Pearson's chi-squared test — (χ2) is the best known of several chi squared tests – statistical procedures whose results are evaluated by reference to the chi squared distribution. Its properties were first investigated by Karl Pearson in 1900.[1] In contexts where it is… … Wikipedia
statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… … Universalium
Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… … Wikipedia
