Analysis of variance

Decision Type: Comparison

Method Category: Design-in reliability, Risk reduction

Categories: Methods

A basic statistical technique for determining the proportion of influence a factor or set of factors has on total variation. It subdivides the total variation of a data set into meaningful component parts associated with specific sources of variation to test a hypothesis on the parameters of the model or to estimate variance components. There are three models: fixed, random, and mixed. ANOVA provides a means to statistically analyze two or more factors at a time.

Reliability Methods
FINESSE Facilitation: What Are Best Practices for Qualitative Assessment Analysis?
Qualitative assessments are used in various applications, including asset management, risk management, human reliability analysis, and customer surveys. The usefulness of any qualitative assessment is a function of design, analysis, and administration. This article explores aspects and good practices of survey analysis for use by facilitators using system-based approaches like FINESSE.
Reliability Modeling Options
The Role of Statistics in Reliability Engineering
Levene’s Test

Analysis of variance, fixed effects
An analysis of variance using preselected factor’s levels from the range of values of the factors.
Analysis of variance, mixed model
An analysis of variance using preselected factor’s levels from the range of values of some factors, and some factors have randomly selected levels from the corresponding factor’s assumed distribution.
Analysis of variance, random effects
An analysis of variance using randomly selected factor levels from the assumed distribution of each factor.

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