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RV coefficient
What is the RV coefficient? The RV coefficient depicts the similarity between two matrices of quantitative variables or two configurations resulting from multivariate analysis. RV coefficient: definition This tool allows computing the RV coefficient between two matrices of quantitative variables. The RV coefficient is defined as (Robert and Escoufier, 1976; Schlich, 1996): RV(Wi,Wj) = trace(Wi,Wj)...
Gage Repeatability and Reproducibility (Quantitative)
What is Gage R&R for quantitative variables (Measurement System Analysis) Measurement System Analysis (MSA) or Gage R&R (Gage Repeatability and Reproducibility) is a method to control and assess a measurement process. It is useful to determine which sources are responsible for the variation of the measurement data. Variability can be caused by the measurement system, the operator or the parts. Gage...
RATA data analysis
This method allows: Study and visualize the links between the products and attributes. Study the agreements between the assessors. Perform a cluster analysis of the assessors WHAT IS RATA DATA ANALYSIS? RATA data analysis is a method used in sensory evaluation to collect and analyze data on consumer perceptions of products. RATA is useful for assessing sensory characteristics of products, informing...
Analysis of a screening design
Analysis of a screening design uses the same conceptual framework as linear regression and variance (ANOVA). The main difference comes from the nature of the underlying model. In ANOVA, explanatory variables are often called factors.
Multivariate Analysis of Variance (MANOVA)
Description of the MANOVA in XLSTAT General description The MANOVA uses the same conceptual framework as the ANOVA. The main difference comes from the nature of the dependent variables: instead of a single one, we can study many of them. With the MANOVA, explanatory variables are often called factors. Effects of factors are estimated on a combination of several response variables. The advantage of...
Reliability Analysis
What is reliability analysis? Reliability analysis is used in several areas, noticeably in social science. The terminology finds its origin in psychometry. We thus define a test made up of questions. Questions are called elements. Those elements are gathered within homogeneous constructs also called factors, measurement scales, latent variables or concepts. As an illustration, graphical skill might...
Sensitivity and specificity analysis
Sensitivity and specificity analysis allows evaluating the performance of a test. Available in Excel using the XLSTAT add-on statistical software. What is sensitivity and specificity analysis? Sensitivity and Specificity analysis is used to assess the performance of a test. In medicine, it can be used to evaluate the efficiency of a test used to diagnose a disease or in quality control to detect the...
Discriminant Analysis (DA)
What is Discriminant Analysis? Discriminant Analysis (DA) is a statistical method that can be used in explanatory or predictive frameworks: Check on a two or three-dimensional chart if the groups to which observations belong are distinct; Show the properties of the groups using explanatory variables; Predict which group a new observation will belong to. Discriminant Analysis may be used in numerous...
Parametric survival curves
What is Parametric survival curve analysis The Parametric survival curve belongs to the descriptive methods of survival analysis, as does life table analysis. Parametric survival curves allows you to quickly obtain a population survival curve and essential statistics such as the median survival time based on a parametric distribution. The Parametric survival curves is an alternative to Kaplan-Meier...
Contingency table (descriptive statistics)
This tool allows you to compute a variety of descriptive statistics on a contingency table. A chi-square test is optionally performed. Additional tests on contingency tables are available in the Tests on contingency tables feature. What is a contingency table? A contingency table, also called a cross-tab, is an efficient way to summarize the relation (or correspondence) between two categorical variables...