ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...

ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...

Identifying and dealing with outliers is an important part of data analysis. A new visualization, the O3 plot, is introduced to aid in the display and understanding of patterns of multivariate ...

This project focuses on predicting forest fire areas using the Fire Weather Index (FWI) dataset. Key methods include the use of Log Transform to normalize the burned area data, improving the ...

Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States Nested association mapping (NAM) populations emerged as a multi-parental strategy that combines the high ...

Abstract: When a dataset from a non-negative random variable contains zero or very small observations, the folded-normal distribution (FND) can be an appropriate model for fitting the data. Such data ...

Hosts Julia Spina and Errol Coleman engage in a casual conversation focusing on the day's market activities and specific securities amidst a tornado warning in Chicago. Julia mentions filling her ...