analysis of variance (redirected from Analysis of variance/Random effects models)

analysis of variance (ANOVA),

a series of statistical procedures for comparing differences among three or more groups, rather than testing each pair of means separately, to determine if differences are due to chance. It is accomplished by examining the differences within the groups as well.

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analysis

separation into component parts.

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cohort analysis

the separation of each of two cohorts into component parts and comparing the results.

current analysis

analysis performed on contemporary data.

discriminant analysis

a form of multivariate analysis in which the objective is to establish a discriminate function. The function (typically a mathematical formula) discriminates between individuals in the population and allocates each of them to a group within the population. The function is established on the basis of a series of measurements or observations made on the individuals.

economic analysis

evaluation of the costs and benefits of a commercial enterprise that takes into account additional returns, returns no longer obtained, additional costs and costs no longer incurred, discounting of gains back to the time when the project began, and opportunity costs relating to potential profitability from alternative use of the investment.

factor analysis

a multivariate technique which analyzes the underlying structure of a set of data. It is useful in explaining observed relationships amongst a large number of variables in terms of simpler relations.

guaranteed analysis

declares the range within which nutrients occur in a manufactured animal food.

multivariate analysis

techniques for the study of simultaneous variation in a number of variables. Includes linear discriminant functions, cluster analysis and factor and principal component analysis.

path analysis

a statistical technique for testing a limited number of causal hypotheses, the causal relationships between variables, by manipulation of one or more of the variables and predicting the outcome.

qualitative analysis

determination of the nature of the constituents of a compound or mixture.

quantitative analysis

determination of the proportionate quantities of the constituents of a compound or mixture.

regression analysis

a general statistical technique that analyzes the relationship between a dependent (criterion) variable and a set of independent (predictor) variables.

systems analysis

analysis of the interaction of a system, e.g. a biological system, often for the purpose of analyzing the differences between systems. See also system.

analysis of variance

a statistical method for comparing variables by partitioning the variance of the observations between the effects of the different variables and comparing it with the underlying random variation.

vector analysis

analysis of a moving force to determine both its magnitude and its direction, e.g. analysis of the scalar electrocardiogram to determine the magnitude and direction of the electromotive force for one complete cycle of the heart.

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variance

one of the measures of the dispersion of data; the mean squared deviation of a set of values from the mean.

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additive genetic variance

that portion of phenotypic variance which is due to the additive effect of genes (V_A).

analysis of variance

a statistical method for comparing values, expressed in terms of means or variance, of one or more variables in several subgroups of a population. Called also anova.

non-additive genetic variance

that portion of phenotypic variance which is due to epistatic interactions (V_I) and dominance deviations (V_D).

non-genetic variance

that portion of phenotypic variance which is due to non-genetic effects such as environment (V_E).

phenotypic variance

a measure of the extent to which individuals vary in their phenotype (V_P). V_P = V_A + V_D + V_I + V_E.

variance ratio distribution

see f distribution.