Transformation Box-Cox for Stabilisation of Diversity in Group Random Design

Transformation Box-Cox for Stabilisation of Diversity in Group Random Design

Corresponding Author: Yenny Sylvia School of Computer Science, Bina Nusantara University, Jakarta, Indonesia Email: [email protected] Abstract: In the field of research, there are a variety of statistical methods used. Hypothesis testing is one test that is often used to obtain the conclusions of the research conducted. One hypothesis testing that is often used is the testing of hypotheses ...

A random effects meta-analysis model with Box-Cox transformation

BACKGROUND In a random effects meta-analysis model, true treatment effects for each study are routinely assumed to follow a normal distribution. However, normality is a restrictive assumption and the misspecification of the random effects distribution may result in a misleading estimate of overall mean for the treatment effect, an inappropriate quantification of heterogeneity across studies and...

Box-Cox Transformation: An Overview Box-Cox Transformations: An Overview

Box–Cox Transformation and Random Regression Models for Fecal egg Count Data

Accurate genetic evaluation of livestock is based on appropriate modeling of phenotypic measurements. In ruminants, fecal egg count (FEC) is commonly used to measure resistance to nematodes. FEC values are not normally distributed and logarithmic transformations have been used in an effort to achieve normality before analysis. However, the transformed data are often still not normally distribut...

Properties of the Box-Cox transformation for pattern classification

The Box–Cox transformation [1,2] (Box and Cox, 1964; Sakia, 1992) has been regarded as a parametric pre-processing technique aimed at making the distribution of a set of points approximately Gaussian. Since normality represents an assumption underlying many statistical data analysis tools, such technique has been widely applied in different fields of Computer Science. In this paper we will prov...