As of March 10, 2026, Maharashtra had the highest number of platform workers registered on the e-Shram portal, with 1.38 lakh ...

In Slovenian retention-basin soils, switching from z-score standardisation to a centred log-ratio transformation before ...

Data smoothing is done by using an algorithm to remove noise from a data set. This allows important patterns to stand out.

In the early days of the GEO market in Japan, moving from 'Did it appear in AI or not?' to 'How consistently does it appear?' ...

Error mitigation cuts sampling overhead for logical quantum circuits, enabling early fault-tolerant algorithms.

A new quantum algorithm, mirror subspace diagonalization (MSD), achieves near-optimal sampling cost for real-time evolution, approaching the theoretical lower bound.

Pavan Subramani, a 17-year-old Indian-American student from West Virginia, has received a $25,000 Davidson Fellows scholarship for developing an AI-based method to accelerate molecular simulations.

Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for ...

Apply SPC and Minitab tools to control variation, reduce waste and rework, improve product quality, strengthen decisions, and support regulatory compliance.Dublin, Sept. 29, 2026 (GLOBE NEWSWIRE) -- ...

This paper proposes a novel logarithmic-type estimator for the estimation of the population mean under stratified random sampling when a single auxiliary variable is available. By employing a ...

Multistage sampling is a probability sampling technique that selects a final sample through two or more successive rounds of random selection, each stage narrowing the population further before the ...

Statistics remains central to data science because machine-learning models, experiments and business decisions all depend on understanding uncertainty. This cheat sheet summarises the formulas, tests ...