Abstract Box & Cox (1964) proposed a parametric power transformation technique in order
to reduce anomalies such as non-additivity, non-normality and heteroscedasticity. Although …

In this tutorial article, the concepts of correlation and regression are reviewed and
demonstrated. The authors review and compare two correlation coefficients, the Pearson …

Dose-response analysis can be carried out using multi-purpose commercial statistical
software, but except for a few special cases the analysis easily becomes cumbersome as …

We consider two questions important for applying analysis of variance (ANOVA): Should
normality be checked on the raw data or on the residuals (or is it immaterial which of the two …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …

Al elaborar la novena edición, nuestro interés principal no fue tan sólo agregar material
nuevo sino brindar claridad y mejor comprensión. Este objetivo se logró en parte al incluir …

In Chap. 10, we presented linear models (LMs) models with fixed effects for correlated data.
They are examples of population-averaged models, because their mean-structure …

Nonlinear regression models are important tools because many crop and soil processes are
better represented by nonlinear than linear models. Fitting nonlinear models is not a single …

Data-analytic approaches to regression problems, arising from many scientific disciplines
are described in this book. The aim of these nonparametric methods is to relax assumptions …

Most treatments of indirect effects and mediation in the statistical methods literature and the
corresponding methods used by behavioral scientists have assumed linear relationships …