Abstract: This work presents a lightweight statistical method for detecting nonstationarities in motor current signals, aiming to improve the diagnosis of transient events such as sudden load changes ...
This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
Hypothesis validation is fundamental in scientific discovery, decision-making, and information acquisition. Whether in biology, economics, or policymaking, researchers rely on testing hypotheses to ...
ABSTRACT: We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X. Our ...
ABSTRACT: This study presents an optimization of the Folin-Ciocalteu spectrophotometric method for the determination of total phenol content. Multivariate optimization using factorial planning 22 with ...
Alpha, also known as the significance level or Type I error rate, is a fundamental concept in statistics used to determine the strength of evidence against a null ...
One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample ...
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