-
1 асимптотически достаточная оценка
Русско-английский научно-технический словарь Масловского > асимптотически достаточная оценка
-
2 асимптотически достаточная оценка
Mathematics: asymptotically sufficient estimatorУниверсальный русско-английский словарь > асимптотически достаточная оценка
-
3 оценка
f. bound, estimate, evaluation, valuation, estimation, inequality, estimator;
оценка сверху - upper bound;
оценка снизу - lower bound;
асимптотически эффективная оценка - asymptotically efficient estimate;
достаточная оценка - sufficient estimate;
оценка максимального правдоподобия - maximum likelihood estimate;
несмещённая оценка - unbiased estimate;
состоятельная оценка - consistent estimate;
эффективная оценка - efficient estimate;
случай регулярной оценки - regular estimation case;
совместно-достаточная сцинка - joint sufficient estimate;
совместно-эффективная оценка - joint efficient estimate;
регулярная оценка - regular estimate;
матрица оценок - rating matrix;
оценка плотности Розенблатта-Парзена - kernel density estimate -
4 оценка
f.bound, estimate, evaluation, valuation, estimation, inequality, estimator
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
Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… … Wikipedia
Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function … Wikipedia
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
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
Power law — A power law is any polynomial relationship that exhibits the property of scale invariance. The most common power laws relate two variables and have the form:f(x) = ax^k! +o(x^k),where a and k are constants, and o(x^k) is of x. Here, k is… … Wikipedia
Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… … Wikipedia
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
Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… … Wikipedia
Correlation and dependence — This article is about correlation and dependence in statistical data. For other uses, see correlation (disambiguation). In statistics, dependence refers to any statistical relationship between two random variables or two sets of data. Correlation … 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