The discussion centered on the use of quantile-quantile plots to analyze stock return distributions and their deviations from the normal distribution assumption, primarily during volatile market ...

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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 ...

The evolution of GWAS methods can be divided into three phases: the initial phase of single-marker analysis (Risch and Merikangas, 1996), followed by the emergence of mixed-model-based methods (Zhang ...

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 ...

ABSTRACT: The structural equation model (SEM) concept is generally influenced by the presence of outliers and controlling variables. To a very large extent, this could have consequential effects on ...