multivariate statistical modeling

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• Multivariate analysis — (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time. In design and analysis, the technique is used to perform trade studies across… …   Wikipedia

• Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on …   Wikipedia

• Multivariate analysis of variance — (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent …   Wikipedia

• Multivariate adaptive regression splines — (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991.[1] It is a non parametric regression technique and can be seen as an extension of linear models that automatically models non linearities and interactions. The term… …   Wikipedia

• Multivariate landing page optimization — (MVLPO) is a specific form of landing page optimization where multiple variations of visual elements (e.g., graphics, text) on a webpage are evaluated. For example, a given page may have k choices for the title, m choices for the featured image… …   Wikipedia

• Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

• Multivariate testing — Software Testing portal In statistics, multivariate testing or multi variable testing is a technique for testing hypotheses on complex multi variable systems, especially used in testing market perceptions.[1] …   Wikipedia

• Structural equation modeling — (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This definition of SEM was articulated by the geneticist Sewall Wright (1921),[1] the… …   Wikipedia

• Marketing mix modeling — is a term of art for the use of statistical analysis such as multivariate regressions on sales and marketing time series data to estimate the impact of various marketing tactics on sales and then forecast the impact of future sets of tactics. It… …   Wikipedia

• Chemometrics — is the science of extracting information from chemical systems by data driven means. It is a highly interfacial discipline, using methods frequently employed in core data analytic disciplines such as multivariate statistics, applied mathematics,… …   Wikipedia

• Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …   Wikipedia