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Statistical Power for ANOVA / ANCOVA / Repeated measures ANOVA
Statistical Power for ANOVA, ANCOVA and Repeated measures ANOVA XLSTAT offers tools to apply analysis of variance (ANOVA), repeated measures analysis of variance and analysis of covariance (ANCOVA). XLSTAT-Power estimates the power or calculates the necessary number of observations associated with these models. What is statistical power for ANOVA, ANCOVA and Repeated measures ANOVA? What is statistical...
Ordinary Least Squares regression (OLS)
Ordinary Least Squares regression (OLS) is a common technique for estimating coefficients of linear regression equations which describe the relationship between one or more independent quantitative variables and a dependent variable (simple or multiple linear regression), often evaluated using r-squared. Least squares stand for the minimum squares error (SSE). Maximum likelihood and Generalized method...
Log-linear regression (Poisson regression)
What is log-linear regression? The log-linear regression is one of the specialized cases of generalized linear models for Poisson, Gamma or Exponential-distributed data. This method is used to modeling the relationship between a scalar response variable and one or more explanatory variables. We assume that the response variable is written as the logarithm of an affine function of the explanatory variables...
Ordinal logit model
Ordinal Logit model definition The ordinal logit model is a frequently-used method as it enables to ordinal variables to be modeled. It is frequently used in survey analysis (whether a respondent is not satisfied, satisfied or very satisfied). It has the same principles as the binary and multinomial logit models. The principle of the ordinal logit model is to link the cumulative probability of a level...
Linear regression
What is linear regression analysis? Linear regression is undoubtedly one of the most frequently used statistical modeling methods. A distinction is usually made between simple regression (with only one explanatory variable) and multiple regression (several explanatory variables) although the overall concept and calculation methods are identical. The principle of linear regression is to model a quantitative...