The reasonable headline index return masks the fact that 2025 was a sombre year for most stocks, which should put the ...

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...

Particle characterization involves analyzing particles based on attributes such as shape, size, surface properties, charge properties, mechanical properties, and microstructure, among others. A wide ...

Abstract: Histogram equalization (HE) is essential for correcting digital picture contrast. Conventional HE methods appear weird due to extreme artifacts and brightness changes. Because of its ...

Descriptive statistics is a branch of statistics that is used to summarize and organize data in a meaningful way. This type of statistics is used to describe the basic features of a dataset, such as ...

The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the ...

Abstract: In this paper, we proposed a gray level-median histogram based two-dimensional (2D) Otsu's method, which is efficient and robust to noise. In our method, we use gray level-median instead of ...

I have a column at Grub Street, opens new tab today looking at some check-by-check level data for five New York restaurants. I got the data from the good people at Bundle, and NY Mag turned it into ...