Mechanical Reliability Improvement: Probability and Statistics for Experimental Testing

✍ Scribed by Little Robert E., Kosikowski D.M.

• Tongue: English
• Leaves: 595
• Category: Library

✦ Synopsis

Marcell Dekker, CRC Press. 2003. 595 p. — ISBN: 0-8247-0812-
1. — Mechanical Engineering, Volume 148.

This book discusses centroid and moment of inertia analogies for mean and variance and the organization structure of completely randomized, randomized complete block, and split spot experiment test programs.

Providing probability and statistical concepts developed using pseudorandom numbers, this book covers enumeration-, simulation-, and randomization-based statistical analyses for comparison of the test performance of alternative designs, as well as simulation- and randomization-based tests for examination of the credibility of statistical presumptions.

Contents
Introduction
Experiment Test Program Planning and Statistical Analysis Fundamentals
Planned Experiment Test Programs with Orthogonal Conceptua Statistical Models
Basic Probability and Statistics Concepts and Their MeehanicalReliability Applications
The Classical Statistical Presumption of Norma I lyDistr touted Experiment Test Program Datum Values
The Conceptual (Two-Parameter)Normal Distribution and the Associated Conceptual Sampling Distributions for Pearson's Central χ2 (Chi Square), Snedecor's Centra IF, and Student’s Central t Test Statistics
Statistical Analysis of Variance(ANOVA)
Linear Regression Analysis
Mechanical Reliability Fundamentals and Example Analyses
References

✦ Subjects

Машиностроение и материалообработка;Теория надежности