-
1 асимптотически несмещенная оценка
asymptotically unbiased estimator, asymptotically unbiased estimateРусско-английский научно-технический словарь Масловского > асимптотически несмещенная оценка
-
2 асимптотически несмещённая оценка
1) Economy: asymptotically unbiased estimate2) Information technology: asymptotically unbiased estimatorУниверсальный русско-английский словарь > асимптотически несмещённая 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:
Estimator — In statistics, an estimator is a function of the observable sample data that is used to estimate an unknown population parameter (which is called the estimand ); an estimate is the result from the actual application of the function to a… … 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
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
U-statistic — In statistical theory, a U statistic is a specific type of estimator defined in a particular way. One use of the concept in statistical theory is that it allows a minimum variance unbiased estimator to be derived from essentially any unbiased… … 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
Monte Carlo integration — An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square s area can be easily calculated, the area of the circle can be estimated by the ratio (0.8) of the… … Wikipedia
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … Wikipedia
Linear model — In statistics the linear model is given by:Y = X eta + varepsilonwhere Y is an n times;1 column vector of random variables, X is an n times; p matrix of known (i.e. observable and non random) quantities, whose rows correspond to statistical… … 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
Computer-adaptive testing — A computer adaptive testing (CAT) is a method for administering tests that adapts to the examinee s ability level. For this reason, it has also been called tailored testing . How CAT worksCAT successively selects questions so as to maximize the… … Wikipedia
Computerized adaptive testing — (CAT) is a form of computer based test that adapts to the examinee s ability level. For this reason, it has also been called tailored testing. Contents 1 How CAT works 2 Advantages 3 Disadvantages … Wikipedia