The final report of the National Research Council’s (NRC) Panel on Statistical Methods for Testing and Evaluating Defense Systems (National Research Council, 1998) was intended to provide broad advice to the U.S. Department of Defense (Do D) on current statistical methods and principles that could be applied to the developmental and operational testing and evaluation of defense systems. To that end, the report contained chapters on the use of testing as a tool of system development; current methods of experimental design; evaluation methods; methods for testing and assessing reliability, availability, and maintainability; software development and testing; and validation of modeling and simulation for use in operational test and evaluation. While the examination of such a wide variety of topics was useful in helping Do D understand the breadth of problems for which statistical methods could be applied and providing direction as to how the methods currently used could be improved, there was, quite naturally, a lack of detail in each area.To address the need for further detail, two Do D agencies-the Office of the Director of Operational Test and Evaluation and the Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics-asked the NRC’s Committee on National Statistics to initiate a series of workshops on statistical issues relevant to defense acquisition. The aim of each workshop is to inform Do D about the methods that represent the statistical state of the art and, through interactions of the statistical and defense communities, explore their relevance for Do D application.
Committee on National Statistics & Division of Behavioral and Social Sciences and Education
Reliability Issues for DOD Systems [EPUB ebook]
Report of a Workshop
Reliability Issues for DOD Systems [EPUB ebook]
Report of a Workshop
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Língua Inglês ● Formato EPUB ● Páginas 103 ● ISBN 9780309168809 ● Editor Francisco Samaniego & Michael Cohen ● Editora National Academies Press ● Publicado 2002 ● Carregável 3 vezes ● Moeda EUR ● ID 7142124 ● Proteção contra cópia Adobe DRM
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