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distribution, frequency — Distribution of the number of occurrences of a variate … Lexicon of Cave and Karst Terminology
distribution — 1. The passage of the branches of arteries or nerves to the tissues and organs. 2. The area in which the branches of an artery or a nerve terminate, or the area supplied by such an artery or nerve. 3. The relative numbers of individuals in each… … Medical dictionary
distribution curve — noun : a graph of the frequencies of different values of a variable in a statistical distribution * * * Statistics. the curve or line of a graph in which cumulative frequencies are plotted as ordinates and values of the variate as abscissas. * *… … Useful english dictionary
distribution curve — Statistics. the curve or line of a graph in which cumulative frequencies are plotted as ordinates and values of the variate as abscissas. * * * … Universalium
variate — [ vɛ:rɪət] noun Statistics a quantity having a numerical value for each member of a group, especially one whose values occur according to a frequency distribution … English new terms dictionary
variate — n. Statistics 1 a quantity having a numerical value for each member of a group. 2 a variable quantity, esp. one whose values occur according to a frequency distribution. Etymology: past part. of L variare (as VARY) … Useful english dictionary
Matrix normal distribution — parameters: mean row covariance column covariance. Parameters are matrices (all of them). support: is a matrix … Wikipedia
Random variate — A random variate is a particular outcome of a random variable: the random variates which are other outcomes of the same random variable would have different values. Random variates are used when simulating processes driven by random influences… … Wikipedia
Exponential distribution — Not to be confused with the exponential families of probability distributions. Exponential Probability density function Cumulative distribution function para … Wikipedia
Beta prime distribution — Probability distribution name =Beta Prime| type =density pdf cdf parameters =alpha > 0 shape (real) eta > 0 shape (real) support =x > 0! pdf =f(x) = frac{x^{alpha 1} (1+x)^{ alpha eta{B(alpha,eta)}! cdf =frac{x^alpha cdot 2F 1(alpha,… … Wikipedia
Laplace distribution — Probability distribution name =Laplace type =density pdf cdf parameters =mu, location (real) b > 0, scale (real) support =x in ( infty; +infty), pdf =frac{1}{2,b} exp left( fracThe inverse cumulative distribution function is given by:F^{ 1}(p) =… … Wikipedia