Results 301 to 310 of about 1,247,116 (346)
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A Class of Distributions Useful in Life Testing and Reliability
IEEE Transactions on Reliability, 1977A new dass of distributions having a finite range that will be useful in life testing and reliability is proposed. Methods of estimating the unknown parameters are studied. Explicit expressions for lower moments of order statistics in complete random samples of any size are given.
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Environmental and Life Testing of High Reliability Magnetic Components
IEEE Transactions on Parts, Materials and Packaging, 1965Over 2.5 million hours of life test have been accumulated in the process of manufacturing High Reliability Magnetic Components for Missile and Space Programs. These units were manufactured under a High Reliability Program and were subjected to qualification and acceptance tests as required by the customer's specifications.
F. Colby, R. Ursch
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Bayesian Approach to Life Testing and Reliability Estimation
Journal of the American Statistical Association, 1967Abstract Bayesian analysis of the exponential model, based on life tests that are terminated at preassigned time points or after preassigned number of failures, has been developed. For the prior distribution of the parameter involved, uniform, inverted gamma and exponential densities have been examined.
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Recent Advances in Life Testing and Reliability
Technometrics, 1996Eric R. Ziegel, N. Balakrishnan
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Statistical Theory of Reliability and Life Testing-Probability Models
Technometrics, 1976Henry W. Block +2 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
1985
The prediction of the service life of a building product is needed for making life cycle cost decisions, for determining the risks and liabilities in marketing a product, and for helping to identify the causes of a product’s failure. Accurate estimates of the service life for building products, however, have traditionally been difficult to obtain.
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The prediction of the service life of a building product is needed for making life cycle cost decisions, for determining the risks and liabilities in marketing a product, and for helping to identify the causes of a product’s failure. Accurate estimates of the service life for building products, however, have traditionally been difficult to obtain.
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