Applied Reliability by David Trindade and Paul A. Tobias (2011, Hardcover, Revised, New Edition)

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Product Information

Since the publication of the second edition of Applied Reliabilityin 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis. Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages--Minitab and SAS JMP--the third edition of Applied Reliabilityis an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling. Taking a practical and example-oriented approach to reliability analysis, this book provides detailed illustrations of software implementation throughout and more than 150 worked-out examples done with JMP, Minitab, and several spreadsheet programs. In addition, there are nearly 300 figures, hundreds of exercises, and additional problems at the end of each chapter, and new material throughout. Software and other files are available for download online

Product Identifiers

PublisherCRC Press LLC
ISBN-101584884665
ISBN-139781584884668
eBay Product ID (ePID)102854651

Product Key Features

Publication Year2011
Number of Pages600 Pages
LanguageEnglish
TypeTextbook
AuthorPaul A. Tobias, David Trindade
FormatHardcover

Dimensions

Weight43.3 Oz
Length9.8in
Width6.8in

Additional Product Features

LCCN2011-011223
Edition Number3
GroupCollege Audience
Dewey Decimal620/.00452
Edition DescriptionNew Edition, Revised
Lc Classification NumberTa169
Table of ContentBasic Descriptive Statistics Populations and Samples Histograms and Frequency Functions Cumulative Frequency Function The Cumulative Distribution Function and the Probability Density Function Probability Concepts Random Variables Sample Estimates of Population Parameters How to Use Descriptive Statistics Data Simulation Reliability Concepts Reliability Function Some Important Probabilities Hazard Function or Failure Rate Cumulative Hazard Function Average Failure Rate Units Bathtub Curve for Failure Rates Recurrence and Renewal Rates Mean Time to Failure and Residual Lifetime Types of Data Failure Mode Separation Exponential Distribution Exponential Distribution Basics The Mean Time to Fail for the Exponential The Exponential Lack of Memory Property Areas of Application for the Exponential Exponential Models with Duty Cycles and Failure on Demand Estimation of the Exponential Failure Rate λ Exponential Distribution Closure Property Testing Goodness of Fit--the Chi-Square Test Testing Goodness of Fit--Empirical Distribution Function Tests Confidence Bounds for λ and the MTTF The Case of Zero Failures Planning Experiments Using the Exponential Distribution Simulating Exponential Random Variables The Two-Parameter Exponential Distribution Test Planning Via Spreadsheet Functions Determining the Sample Size EDF Goodness-of-Fits Tests Using Spreadsheets KS Test Weibull Distribution Empirical Derivation of the Weibull Distribution Properties of the Weibull Distribution Extreme Value Distribution Relationship.
Copyright Date2011
Dewey Edition19
Reviews"I have used the second edition of this book for an Introduction to Reliability course for over 15 years. ... The third edition ... retains the features I liked about the second edition. In addition, it includes improved graphics ... [and] examples of popular software used in industry ... There is a new chapter on Bayesian reliability and additional material on reliability data plotting, and repairable systems' analysis. ... The book does a good and comprehensive job of explaining the basic reliability concepts; types of data encountered in practice and how to treat this data; reliability data plotting; and the common probability distributions used in reliability work, including motivations for their use and practical areas of application. ... an excellent choice for a first course in reliability. The book also does a good job of explaining more advanced topics ... the book will continue to be a popular desk reference in industry and a textbook for advanced undergraduate or first-year graduate students." --Journal of the American Statistical Association, June 2014
Publication Date2011-08-26
IllustratedYes

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