-
41 function
1) функция; назначение || функционировать, действовать; исполнять назначение2) pl функции, должностные обязанности3) мат. функция4) специализация управленческих процессов (напр. сбыт) -
42 test
1) тест, испытание, испытания; проверка || испытывать, проводить испытания; проверять2) показатель; стат. критерий, признак- odd test -
43 contingent
-
44 measure
1) мера2) мероприятие3) средство измерения || измерять4) критерий; мерило5) мерная посуда || отмеривать; дозировать6) полигр. формат полосы набора•fundamental in measure — мат. фундаментальный по мере
measure with basis — мат. мера с базисом
measure with value — мат. мера со значением
measure on intervals —мат. мера на интервалах
measure on rings — мат. мера на кольцах
of zero measure — мат. нульмерный
precision measure by external consistency — мат. мера точности по внешней совместности, мера точности переопределённых исходных уравнений
precision measure by internal consistency — мат. мера точности по внутренней совместности, мера точности по оценке экспериментальной погрешности исходных данных
to measure up — соответствовать, удовлетворять ( требованиям)
- completely random measure - locally finite measure - measure of relative skewness - normed measure - strongly dominant measure - totally finite measureto take measure — швейн. снимать мерку
-
45 statistic
статистическая характеристика, статистический показатель, статистика || статистический
См. также в других словарях:
Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of … Wikipedia
conditional probability — likelihood of the occurrence of an event taking into account the occurrence of another event … English contemporary dictionary
Conditional random field — A conditional random field (CRF) is a statistical modelling method often applied in pattern recognition. More specifically it is a type of discriminative undirected probabilistic graphical model. It is used to encode known relationships between… … Wikipedia
Likelihood principle — In statistics,the likelihood principle is a controversial principle of statistical inference which asserts that all of the information in a sample is contained in the likelihood function.A likelihood function arises from a conditional probability … Wikipedia
Conditional probability distribution — Given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value. If the conditional distribution of Y given X is a… … Wikipedia
Conditional independence — These are two examples illustrating conditional independence. Each cell represents a possible outcome. The events R, B and Y are represented by the areas shaded red, blue and yellow respectively. And the probabilities of these events are shaded… … Wikipedia
Conditional entropy — Individual (H(X),H(Y)), joint (H(X,Y)), and conditional entropies for a pair of correlated subsystems X,Y with mutual information I(X; Y). In information theory, the conditional entropy (or equivocation) quantifies the remaining entropy (i.e.… … Wikipedia
Conditional Value At Risk - CVaR — A risk assessment technique often used to reduce the probability a portfolio will incur large losses. This is performed by assessing the likelihood (at a specific confidence level) that a specific loss will exceed the value at risk.… … Investment dictionary
Maximum likelihood sequence estimation — (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream. Contents 1 Theory 2 Background 3 References 4 Further reading … Wikipedia
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
Monotone likelihood ratio — A monotonic likelihood ratio in distributions f(x) and g(x) The ratio of the density functions above is increasing in the parameter x, so f(x)/g(x) satisfies the monotone likelihood ratio property. In statistics, the monoto … Wikipedia