nonlinear variation
111Robust 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… …
112Marketing-mix models — measure the impact of marketing activities, competitive effects and market environment on sales of a product. This method is extensively used in Consumer Packaged Goods (CPG) industry, although it is now being adopted in retail, telecom and… …
113Comparison of statistics journals — This is a comparison of peer reviewed scientific journals published in the field of statistics. Contents 1 General information 2 Impact, indexing, abstracting and reviewing 3 Notes 4 …
114Refractive index — Refraction of light at the interface between two media. In optics the refractive index or index of refraction of a substance or medium is a measure of the speed of light in that medium. It is expressed as a ratio of the speed of light in vacuum… …
115Experiment — Experimental redirects here. For the musical classification, see Experimental music. For other uses, see Experiment (disambiguation). Even very young children perform rudimentary experiments in order to learn about the world. An experiment is a… …
116ANOVA-simultaneous component analysis — ASCA, ANOVA SCA, or analysis of variance – simultaneous component analysis is a method that partitions variation and enables interpretation of these partitions by SCA, a method that is similar to PCA. This method is a multi or even megavariate… …
117Reduced derivative — In mathematics, the reduced derivative is a generalization of the notion of derivative that is well suited to the study of functions of bounded variation. Although functions of bounded variation have derivatives in the sense of Radon measures, it …
118Cross-validation (statistics) — Cross validation, sometimes called rotation estimation,[1][2][3] is a technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and… …
119Maximum 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… …
120Confidence interval — This article is about the confidence interval. For Confidence distribution, see Confidence Distribution. In statistics, a confidence interval (CI) is a particular kind of interval estimate of a population parameter and is used to indicate the… …
