用来推断总体参数的统计量称为估计量（estimator)。In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished.There...
statistic T(X)一般用来估计 f(\cdot|\theta) 里面未知的参数 \theta,也就是我们常说的estimator,T(x)被叫做估计 \theta 的estimate。也就是说estimator是关于采样的random variables的一个函数,这个函数的值就是一个estimate。 In particular, if we use the statistic T(X) to estimate an unknown parameter...
in statistics, a function of the results of observations that is used to estimate an unknown parameter of the probability distribution of random variables that are under study. In English, a distinction is sometimes, but not always, made between the terms “estimator” and “estimate”: an esti...
An estimator or point estimate is a statistic that is used to infer the value of an unknown parameter in a statistical model. A point is a value in this entire possible range of values from the distribution. This Sample statistics are also called “po
However, not all statistics are estimators. For example, the z-statistic often used inhypothesis tests about the meanis not an estimator. Examples Commonly found examples of estimators are: thesample mean, used to estimate the expected value of an unknown distribution; ...
Synonyms:estimate, appraise, assess, evaluate, rate1 These verbs have to do with the consideration of judgment in ascertaining value or weighing the relative merits of something:estimated the street value of the drugs to be $500,000; appraised the diamond ring; assessing real estate for investors...
Unlike statistical estimators, fuzzy systems estimate a function without a mathematical formula that gives a description of how outputs depend on inputs. Floccus of control: will it ever be possible to place a monetary value on intangible assets in a reliable, meaningful way? Well, possibly. Garr...
The first proposals along these lines assumed a bivariate normal model for the UD (Calhoun and Casby, 1958). Still in a parametric setting, Don and Rennolls (1983) used a mixture of normal densities to estimate f. However, noting that such parametric models were usually inappropriate, in a...
Primes and Rough Numbers, Basic ideas What is a rough number? What can they be used... John D'Errico in Tips & Tricks 2 3 View Post Community Treasure Hunt Find the treasures in MATLAB Central and discover how the community can help you! Start Hunting! Three Ways to Estimate Remainin...
In other words, an estimator is unbiased if its expected value always equals the value of the parameter it is attempting to estimate. EXAMPLE 7.7a Let X 1, X 2,…, Xn be a random sample from a distribution having unknown mean θ. Then d1(X1,X2,…,Xn)=X1 and d2(X1,X2,…,Xn...