statistic parameter
111Bias of an estimator — In statistics, the difference between an estimator s expected value and the true value of the parameter being estimated is called the bias. An estimator or decision rule having nonzero bias is said to be biased.Although the term bias sounds… …
112Fuzzy locating system — Fuzzy locating is a rough but reliable method based on appropriate measuring technology for estimating a location of an object. The concept of precise or ‘’crisp locating’’ is replaced with respect to the operational requirements and the economic …
113Noncentral chi-squared distribution — Noncentral chi squared Probability density function Cumulative distribution function parameters …
114Asterisk — This article is about the typographical symbol. For other uses, see Asterisk (disambiguation). See also: * (disambiguation) * Asterisk …
115Ronald Fisher — R. A. Fisher Born 17 February 1890(1890 02 17) East Finchley, London …
116Prediction interval — In statistics, a prediction interval bears the same relationship to a future observation that a confidence interval bears to an unobservable population parameter. Prediction intervals predict the distribution of individual points, whereas… …
117Generalized method of moments — GMM may also mean Gaussian mixture model. : For the Thai entertainment company, see GMM Grammy. The generalized method of moments is a very general statistical method for obtaining estimates of parameters of statistical models. It is a… …
118Post-modern portfolio theory — [The earliest citation of the term Post Modern Portfolio Theory in the literature appears in 1993 in the article Post Modern Portfolio Theory Comes of Age by Brian M. Rom and Kathleen W. Ferguson, published in The Journal of Investing, Winter,… …
119Kadir Brady saliency detector — The Kadir Brady saliency detector is designed to detect representative region in images. It performs well in the context of object class recognition. It was invented by http://www.robots.ox.ac.uk/ timork/ Timor Kadir] and [http://www.robots.ox.ac …
120Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… …
