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Statistical Distributions in Scientific Work pp 271–288Cite as

Multivariate Distributions in Reliability Theory and Life Testing

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Part of the book series: NATO Advanced study Institutes Series ((ASIC,volume 79))

Summary

Multivariate parametric distributions which are of interest in reliability theory and life testing are discussed. These include distributions with exponential, Weibull and gamma univariate marginal distributions. Other distributions of interest are the multivariate nonparametric distributions whose marginals have increasing failure rates (IFR), increasing, failure rate averages (IFRA), are new better than used (NBU) or new better than used in expectation (NBUE). Also mentioned are univariate and multivariate processes which have associated with them distributions in the various nonparametric classes mentioned above.

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Author information

Authors and Affiliations

  1. University of São Paulo, Brazil

    Henry W. Block

  2. University of Pittsburgh, USA

    Henry W. Block & Thomas H. Savits

Authors
  1. Henry W. Block
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  2. Thomas H. Savits
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Editor information

Editors and Affiliations

  1. Department of Statistics, The pennsylvania State University, University Park, Pennsylvania, USA

    Charles Taillie  & Ganapati P. Patil  & 

  2. Instituto di Calcolo delle Probabilità, Facoltà di Scienze Statistische Demografiche e Attuariali, Università degli Studi di Roma, Italy

    Bruno A. Baldessari

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© 1981 D. Reidel Publishing Company, Dordrecht, Holland

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Block, H.W., Savits, T.H. (1981). Multivariate Distributions in Reliability Theory and Life Testing. In: Taillie, C., Patil, G.P., Baldessari, B.A. (eds) Statistical Distributions in Scientific Work. NATO Advanced study Institutes Series, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-8552-0_22

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  • DOI: https://doi.org/10.1007/978-94-009-8552-0_22

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-8554-4

  • Online ISBN: 978-94-009-8552-0

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