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Reliability has to do with the quality of measurement. In its everyday sense,
reliability is the "consistency" or "repeatability" of your measures.
Before we can define reliability precisely we have to lay the groundwork. First, you have
to learn about the foundation of reliability, the true score theory
of measurement. Along with that, you need to understand the different types of measurement error because errors in measures play a key
role in degrading reliability. With this foundation, you can consider the basic theory of reliability, including a precise definition of
reliability. There you will find out that we cannot calculate reliability -- we can only
estimate it. Because of this, there a variety of different types of
reliability that each have multiple ways to estimate reliability for that type. In the
end, it's important to integrate the idea of reliability with the other major criteria for
the quality of measurement -- validity -- and develop an understanding of the relationships between reliability and validity in measurement.
原文链接：http://www.socialresearchmethods.net/kb/reliable.htm
另外一个
MAJOR TOPICS AND HIGHLIGHTS covered in the Reliability Testing Course
- Objectives: Types of
Reliability Tests, and Scheduling and Management of Reliability Testing.
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- Reliability Data
--- Their Acquisition and Processing.
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- Five Very
Important and Fundamental Reliability Engineering Relationships and the
Failure Rate Concept.
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- Distribution,
Failure Rate, and Reliability Determination From Field Data.
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- Chi-Square,
Student's-t and F Distributions.
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- The Exponential
Distribution.
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- Confidence Limits
on the Mean-Time Between-Failures and on the Reliability for the Exponential
Distribution, and MTBF Determination if no Failures Occur.
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- Operating
Characteristic (OC) Curves.
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- Tests of
Comparison of the Mean Life for the Exponential Case.
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- The Normal
Distribution; Confidence Interval on the Mean Life of Normally Distributed
Data; Life Range, Life Limit, and Lower One Sided Confidence Limits on
the Reliability with Normally Distributed Data.
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- The Lognormal
Distribution.
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- The Weibull
Distribution and Methods of Determining its Parameters.
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- Confidence Limits on
the Reliability with Weibull Distributed Times to Failure.
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- Ranks Not
Available in Tables.
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- Tests of
Comparison for the Weibull Distribution.
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- The Gamma and Beta
Distributions.
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- Methods of Parameter
Estimation: Identification of Data Outliers; and the Least Squares,
Matching Moments and Maximum Likelihood Methods of Distribution
Parameters Estimation.
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- The Chi-Square,
Kolmogorov-Smirnov, Anderson-Darling and Cramer - Von Mises Goodness-of-Fit
Tests.
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- Reliability and
Confidence Limits for One-Shot Items, and the Binomial Distribution.
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- Comparing Two Lots
Through Binomial Testing.
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- Suspended-Items
Testing, and Analysis of Field and Warranty Data.
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- Accept-Reject
Testing with Fixed Test Time and Failures.
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- Sequential
Probability Ratio Tests (SPRT) for the Exponential Distribution.
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- Sequential Test on
the Scale Parameter for the Weibull Distribution.
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- Sequential Testing
for the Binomial Distribution.
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- Accept-Reject
Testing for the Binomial Case.
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- Bayesian
Reliability Demonstration Testing.
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- Accelerated Life
and Reliability Testing.
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- Test Duration and Sample
Size Determination, and Their Optimization.
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- Numerous Practical
Examples and Case Histories.
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原文链接：http://www.u.arizona.edu/~dimitri/course_RE_Test.htm
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