statistic parameter
121John von Neumann — Von Neumann redirects here. For other uses, see Von Neumann (disambiguation). The native form of this personal name is Neumann János. This article uses the Western name order. John von Neumann …
122List of psychology topics — This page aims to list all topics related to psychology. This is so that those interested in the subject can monitor changes to the pages by clicking on Related changes in the sidebar. It is also to see the gaps in Wikipedia s coverage of the… …
123Segmentation (image processing) — In computer vision, segmentation refers to the process of partitioning a digital image into multiple regions (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more… …
124Autoregressive conditional heteroskedasticity — ARCH redirects here. For the children s rights organization, see Action on Rights for Children. In econometrics, AutoRegressive Conditional Heteroskedasticity (ARCH) models are used to characterize and model observed time series. They are used… …
125Chi distribution — chi Probability density function Cumulative distribution function parameters …
126Variational message passing — (VMP) is an approximate inference technique for continuous valued Bayesian networks, with conjugate exponential parents, developed by John Winn in his PhD thesis. John Winn is now at Microsoft Research. VMP was developed as a means of… …
127Control variate — In Monte Carlo methods, one or more control variates may be employed to achieve variance reduction by exploiting the correlation between statistics.ExampleLet the parameter of interest be mu, and assume we have a statistic m such that… …
128Median absolute deviation — In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample. For a… …
