product-moment correlation coefficient
61Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… …
62Standard 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… …
63Moving average — For other uses, see Moving average (disambiguation). In statistics, a moving average, also called rolling average, rolling mean or running average, is a type of finite impulse response filter used to analyze a set of data points by creating a… …
64Minimum message length — (MML) is a formal information theory restatement of Occam s Razor: even when models are not equal in goodness of fit accuracy to the observed data, the one generating the shortest overall message is more likely to be correct (where the message… …
65Minimum description length — The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is …
66Deviance (statistics) — In statistics, deviance is a quality of fit statistic for a model that is often used for statistical hypothesis testing. The deviance for a model M0 is defined as Here denotes the fitted values of the parameters in the model M0, while denotes the …
67Errors and residuals in statistics — For other senses of the word residual , see Residual. In statistics and optimization, statistical errors and residuals are two closely related and easily confused measures of the deviation of a sample from its theoretical value . The error of a… …
68Nonlinear regression — See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… …
69Methods engineering — Not to be confused with Method engineering in the field of information systems. Methods engineering is a subspecialty of Industrial engineering concerned with human integration in industrial production processes.[1] Contents 1 Overview 2 Methods… …
70Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …
