Predicting a future lifetime through Box-Cox transformation.

A Simple Transformation Method in Skewness Reduction

Statistical analysis of non-normal data is usually more complicated than that for normaldistribution. In this paper, a simple root/power transformation technique developed by Niaki, et al [1]is extended to transform right and left skewed distributions to nearly normal. The value of theroot/power is explored such that the skewness of the transformed data becomes almost zero with anacceptable err...

A class of Box-Cox transformation models for recurrent event data.

In this article, we propose a class of Box-Cox transformation models for recurrent event data, which includes the proportional means models as special cases. The new model offers great flexibility in formulating the effects of covariates on the mean functions of counting processes while leaving the stochastic structure completely unspecified. For the inference on the proposed models, we apply a...

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 ...

Small Area Estimation of the Mean of Household\'s Income in Selected Provinces of Iran with Hierarchical Bayes Approach

Extended Abstract. Small area estimation has received a lot of attention in recent years due to necessity demand for reliable small area statistics. Direct estimator may not provide adequate precision, because sample size in small areas is seldom large enough. Hence, by employing models that can use auxiliary information and area effects in descriptions, one can increase the precision of direct...

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