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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...

Create contingency tables

What is a contingency table A contingency table, also called cross-tab, is an efficient way to summarize the relation (or correspondence) between two categorical variables V1 and V2. It has the following structure: V1 V2 Category 1 Category j … Category m2 Category 1 n(1,1) n(1,j) … n(1,m2) … … … … … Category i n(i,1) n(i,j) … n(i,m2) … … … … … Category m1 n(m1,1) n(m1,j) … n(m1,m2) where n(i,j) is...

Kaplan-Meier survival analysis in Excel tutorial

Run Generalized Procrustes Analysis (GPA) in Excel

Multiple Factor Analysis (MFA) in Excel tutorial

Monte Carlo simulations

What is a Monte Carlo Simulation in XLSTAT? Monte Carlo Simulation is a module that allows building and computing simulation models, an innovative method for estimating variables, whose exact value is not known, but that can be estimated by means of repeated simulation of random variables that follow certain theoretical laws. Before running the model, you need to create the model, defining a series...

ANCOVA (Analysis of Covariance)

What is ANCOVA (Analysis of Covariance) ANCOVA (ANalysis of COVAriance) can be seen as a mix of ANOVA and linear regression as the dependent variable is of the same type, the model is linear and the hypotheses are identical. In reality it is more correct to consider ANOVA and linear regression as special cases of ANCOVA. The ANCOVA model If p is the number of quantitative variables, and q the number...

Correspondence Analysis from raw data with 3D charts