A bit of information about reliability

Source: Internet
Author: User

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
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
Reliability that each have multiple ways to estimate reliability for that type. In
End, it's important to integrate the idea of reliability with the other major criteria
The quality of measurement -- validity -- and develop an understanding of the relationships between reliability and validity in measurement.

Link: http://www.socialresearchmethods.net/kb/reliable.htm

Another

Major topics and highlights covered in the reliability testing course

  • Objectives: Types
    Reliability tests, and scheduling and management of reliability testing.
  • Reliability Data
    --- Their acquisition and processing.
  • Five very
    Important and fundamental reliability engineering relationships and
    Failure Rate concept.
  • Distribution,
    Failure rate, and reliability determination from field data.
  • Chi-square,
    Student's-T and F distributions.
  • The exponential
    Distribution.
  • Confidence Limits
    On the Mean-Time Between-failures and on the reliability for the exponential
    Distribution, and MTBF determination if no failures occur.
  • Operating
    Characteristic (OC) curves.
  • Tests
    Comparison of the mean life for the exponential case.
  • 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.
  • The lognormal
    Distribution.
  • The Weibo
    Distribution and methods of determining its parameters.
  • Confidence Limits on
    The reliability with Weibo distributed times to failure.
  • Ranks not
    Available in tables.
  • Tests
    Comparison for the Weibo distribution.
  • the gamma and beta
    distributions.
  • methods of parameter
    estimation: Identification of data outliers; and the least squares,
    matching moments and maximum likelihood methods of distribution
    parameters estimation.
  • the chi-square,
    Kolmogorov-Smirnov, Anderson-Darling and Cramer-Von Mises goodness-of-fit
    tests.

 

  • Reliability and
    Confidence Limits for one-shot items, and the binomial distribution.
  • Comparing Two lots
    Through binomial testing.
  • Sushortded-items
    Testing, and analysis of field and warranty data.
  • Sudden-death
    Testing.
  • Nonparametric
    Testing.
  • Accept-reject
    Testing with fixed test time and failures.
  • Sequential
    Probability Ratio tests (SPRT) for the exponential distribution.
  • Sequential test on
    The scale parameter for the Weibo distribution.
  • Sequential Testing
    For the binomial distribution.
  • Accept-reject
    Testing for the binomial case.
  • Bayesian
    Reliability Demonstration Testing.
  • Accelerated Life
    And reliability testing.
  • Test duration and sample
    Size determination, and their optimization.
  • Numerous practical
    Examples and case histories.

Http://www.u.arizona.edu /~ Dimitri/course_re_test.htm

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