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Understanding Normal Probability for Successful Quality Control

Over the last few decades, Lean Six Sigma has become an integral part of the world of business. It is one of the most ...
Monash University

Normal distribution

Where \(X\) is a normally distributed random variable with mean \(\mu\) and standard deviation \(\sigma\). The peak of the curve occurs at \(x=\mu\), and the spread ...
Simon Fraser University

Example 2.1: Fitting a Normal Distribution

You can use the CDFPLOT statement to fit any of six theoretical distributions (beta, exponential, gamma, lognormal, normal, and Weibull) and superimpose them on the cdf plot. The following statements ...
IEEE

A Multivariate Normal Distribution Data Generative Model in Small-Sample-Based Fault Diagnosis: Taking Traction Circuit Breaker as an Example

Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...
SciELO

Evaluation of probability distributions in the study of characteristic compressive strength of metakaolin concrete blocks

This comprehensive study meticulously evaluated six probability distribution models for the compressive strength of 24 concrete blocks, 12 with metakaolin and 12 without addition. The models analyzed ...
IEEE

Evaluation of Statistic Probability Distribution Functions: I. Computation of the Standard Normal z, Student's t, F, and Chi-Squared Values

Abstract: Evaluation of probability distribution functions and their inverse functions play a central role in finding a critical value or threshold for a statistical inference and analysis. A ...