Univariate Birnbaum-Saunders models have been widely applied to fatigue studies. Calculation of fatigue life is of great importance in determining the reliability of materials. We propose and derive ...

Thus, this work presents several regression models found in scientific studies, implementing them in the form of an R package called AgroReg. The package comprises 44 analysis functions with 66 ...

GLMs unify other statistical models, including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models ...

How Logistic Regression Works Logistic regression employs a logistic function with a sigmoid (S-shaped) curve to map linear combinations of predictions and their probabilities.

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

Benoit, K. (2011) Linear Regression Models with Logarithmic Transformations.

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.