To accelerate the pace of wheat (Triticum aestivum L.) improvement worldwide, desired seed-level characteristics and seed quality receive a growing attention as they directly impact early seedling ...

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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 ...

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 ...

Backgrounds and aims: Esophageal cancer (EC) causes approximately 508,000 deaths annually, making it a significant cause of cancer-related mortality. While previous studies have suggested an ...

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 ...