Current interest in multivariate analysis in biometrics and other areas of applied statistics must inevitably lead to a scrutiny of the robustness of the procedure ...

The multivariate analysis of variance for a one-factor experiment in a randomized blocks design with several observations per cell usually assumes equality of the covariance matrices of the errors. A ...

The following example employs multivariate analysis of variance (MANOVA) to measure differences in the chemical characteristics of ancient pottery found at four kiln sites in Great Britain. The data ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

When several measurements are taken on the same experimental unit (person, plant, machine, and so on), the measurements tend to be correlated with each other. When the measurements represent ...

Whenever you have a problem with more than two variables to sort out, multivariate analysis can offer you an answer. It's used in a variety of fields that require the examination of statistical data, ...

Many economically important characteristics of agricultural crops are measured as ordinal traits. Statistical analysis of the genetic basis of ordinal traits appears to be quite different from regular ...

This multivariate analysis also suggested the presence of previously unrecognized subclusters within the favorable prognosis category, indicating the potential for finer risk stratification.