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variability analysis

См. также в других словарях:

  • Analysis of covariance — (ANCOVA) is a general linear model with one continuous outcome variable and one or more factors. ANCOVA is a merger of ANOVA and regression for continuous variables. ANCOVA tests whether certain factors have an effect on the outcome variable… …   Wikipedia

  • analysis of variance — n analysis of variation in an experimental outcome and esp. of a statistical variance in order to determine the contributions of given factors or variables to the variance * * * (ANOVA) a statistical method for analyzing the effects of each of… …   Medical dictionary

  • Analysis Of Variance - ANOVA — A statistical analysis tool that separates the total variability found within a data set into two components: random and systematic factors. The random factors do not have any statistical influence on the given data set, while the systematic… …   Investment dictionary

  • analysis — /euh nal euh sis/, n., pl. analyses / seez /. 1. the separating of any material or abstract entity into its constituent elements (opposed to synthesis). 2. this process as a method of studying the nature of something or of determining its… …   Universalium

  • Analysis of clinical trials — Failure to include all participants in the analysis may bias the trial results. Most trials do not yield perfect data, however. Protocol violations may occur, such as when the patients do not receive the full intervention or the correct… …   Wikipedia

  • Analysis — A psychology term for processes used to gain understanding of complex emotional or behavioral issues. * * * 1. The breaking up of a chemical compound or mixture into simpler elements; a process by which the composition of a substance is… …   Medical dictionary

  • Population viability analysis — (PVA) is a species specific method of risk assessment frequently used in conservation biology. It is traditionally defined as the process that determines the probability that a population will go extinct within a given number of years. More… …   Wikipedia

  • Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …   Wikipedia

  • Meta-analysis — In statistics, a meta analysis combines the results of several studies that address a set of related research hypotheses. In its simplest form, this is normally by identification of a common measure of effect size, for which a weighted average… …   Wikipedia

  • Factor analysis — is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved, uncorrelated variables called factors. In other words, it is possible, for example, that variations in …   Wikipedia

  • Sensitivity analysis — (SA) is the study of how the variation (uncertainty) in the output of a mathematical model can be apportioned, qualitatively or quantitatively, to different sources of variation in the input of a model Saltelli, A., Ratto, M., Andres, T.,… …   Wikipedia

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