Mechanical Reliability Improvement: Probability and Statistics for Experimental Testing

by Robert Little

Overview

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. The 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. Purchase of the text provides access to 200 microcomputer programs illustrating a wide range of reliability and statistical analyses.

Product Details

ISBN-13:	9781135563448
Publisher:	CRC Press
Publication date:	09/25/2002
Sold by:	Barnes & Noble
Format:	eBook
Pages:	672
File size:	15 MB
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Table of Contents

Preface, Introduction, 1. Experiment Test Program Planning and Statistical Analysis Fundamentals, 2. Planned Experiment Test Programs with Orthogonal Conceptual Statistical Models, 3. Basic Probability and Statistics Concepts and Their Mechanical Reliability Applications, 4. The Classical Statistical Presumption of Normally Distributed Experiment Test Program Datum Values, 5. The Conceptual (Two-Parameter) Normal Distribution and the Associated Conceptual Sampling Distributions for Pearson’s Central x (Chi Square), Snedecor’s Central F, and Student’s Central t Test Statistics, 6. Statistical Analysis of Variance (ANOVA), 7. Linear Regression Analysis, 8. Mechanical Reliability Fundamentals and Example Analyses, Index