Probability & Statistics Notes (ACT-2)
These are the Probability & Statistics Notes, ACT-2, Notes 1-12, assembled by Dr. Carl E. Baum.
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PSN 1, C. Ashley, Confidence and Reliability in a Finite Population, 18 Feb 71, Air Force Weapons Laboratory
PSN 2, C. Ashley, Confidence and Reliability in an Infinite Population, 7 Oct 71, Air Force Weapons Laboratory
PSN 3, R. G. Easterling, The Assessments of Systems and Component Reliabilities Based on Both System and Component Test Results, Dec 70, Sandia Laboratories, SC-RR-70-750, AD 884497
PSN 4, M. A. Skinner, Determination of System Probability of Failure from Subsystem Probabilities of Failure, 26 Jan 72, Air Force Weapons Laboratory
PSN 5, C. Ashley, Confidence and Reliability in a Partitioned Finite Population, 22 Dec 72, Air Force Weapons Laboratory
PSN 6, C. Ashley, Confidence in System Reliability, 8 Feb 73, Air Force Weapons Laboratory
PSN 7, C. Ashley, Effects of Supplemental Information on Confidence and Reliability, 22 Sep 73, Air Force Weapons Laboratory
PSN 8, R. D. Halbgewachs, R. C. Mueller, and F. W. Mueller, Classical Upper Confidence Limits for the Failure Probability of Systems, Sep 73, SLA-73-0563
PSN 9, J. V. Locasso, The Confidence in Combination of Imperfectly Known Variances, 8 Jul 77, Rockwell International
PSN 10, C. Ashley, K. Chen, and J. Barry, Some Special Case Results for Confidence and Reliability in a Finite Population, 21 May 81, Air Force Weapons Laboratory
PSN 11, J. W. Williams, Some Practical Aspects of Sampling in a Finite Population, Apr 82, Mission Research Corp.
PSN 12, P. Ryl, Some Observations on the Usefulness of Estimates of the Mean and Standard Deviation of an Unknown Distribution, 24 Oct 84, R & D Associates
PSN 13 EMC/EMI testing requirements optimization using a re-sampling technique – Technical report, Chaouki Kasmi, Sébastien Lalléchère, Pierre Bonnet, Sébastien Girard, Françoise Paladian, Emmanuel Prouff, July 2015
Sunset in Big Cottonwood. Wasatch Mountains, Utah. Photo by www.johnross.com
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Last Updated March 3, 2023 • Electrical and Computer Engineering Department • The University of New Mexico.
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