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Teor. Veroyatnost. i Primenen., 1963, Volume 8, Issue 4, Pages 431–443 (Mi tvp4690)  

This article is cited in 1 scientific paper (total in 1 paper)

On the Detection of Disorder in a Manufacturing Process. II

A. N. Shiryaev

Moscow

Abstract: The main result of this paper is contained in expression (2.46), which shows that as in the Neyman–Pearson method the mean delay time $\tau({\mathbf T};N)$ for detecting the disorder (the object) depends on the number of directions $N$ (along one of which the disorder appears) and on the mean time ${\mathbf T}$ between two false alarms.

Full text: PDF file (1119 kB)

English version:
Theory of Probability and its Applications, 1963, 8:4, 402–413

Received: 03.11.1961

Citation: A. N. Shiryaev, “On the Detection of Disorder in a Manufacturing Process. II”, Teor. Veroyatnost. i Primenen., 8:4 (1963), 431–443; Theory Probab. Appl., 8:4 (1963), 402–413

Citation in format AMSBIB
\Bibitem{Shi63}
\by A.~N.~Shiryaev
\paper On the Detection of Disorder in a Manufacturing Process.~II
\jour Teor. Veroyatnost. i Primenen.
\yr 1963
\vol 8
\issue 4
\pages 431--443
\mathnet{http://mi.mathnet.ru/tvp4690}
\transl
\jour Theory Probab. Appl.
\yr 1963
\vol 8
\issue 4
\pages 402--413
\crossref{https://doi.org/10.1137/1108045}


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    This publication is cited in the following articles:
    1. A. N. Shiryaev, “On Stochastic Models and Optimal Methods in the Quickest Detection Problems”, Theory Probab. Appl., 53:3 (2009), 385–401  mathnet  crossref  crossref  mathscinet  zmath  isi  elib  elib
  • Теория вероятностей и ее применения Theory of Probability and its Applications
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