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Trudy SPIIRAN, 2009, Issue 10, Pages 96–109 (Mi trspy36)  

This article is cited in 2 scientific papers (total in 2 papers)

Risky behavior rate estimates calculation based on Chebychev inequality

A.V. Suvorovaa, A. E. Pashchenkob, T. V. Tulupyevabac, A. L. Tulupyevba

a St. Petersburg State University, Department of Mathematics and Mechanics
b St. Petersburg Institute for Informatics and Automation of RAS
c Northwestern State Services University
Full-text PDF (643 kB) Citations (2)
Abstract: The paper presents interval estimates (confidence intervals) of rate of risky behavior and related risk. They are based on the data about last episodes of risky behavior of the respondent which are used for an estimate of intensity of behavior, and also for an estimate of the cumulative risk related to risky behavior. Besides, interval estimate of risk in case of arbitrary number of episodes of behavior are given. Finally, the estimate of the cumulative risk related to risky behavior is done with data about the maximum and minimum intervals between episodes of risky behavior.
The approach to consistency verification of the estimates based on the various initial data is described.
Keywords: interval estimates, rate of behavior, estimates consistency, Chebyshev inequality.
Received: 20.12.2009
UDC: 311.2
Language: Russian
Citation: A.V. Suvorova, A. E. Pashchenko, T. V. Tulupyeva, A. L. Tulupyev, “Risky behavior rate estimates calculation based on Chebychev inequality”, Tr. SPIIRAN, 10 (2009), 96–109
Citation in format AMSBIB
\Bibitem{SuvPasTul09}
\by A.V.~Suvorova, A.~E.~Pashchenko, T.~V.~Tulupyeva, A.~L.~Tulupyev
\paper Risky behavior rate estimates calculation based on Chebychev inequality
\jour Tr. SPIIRAN
\yr 2009
\vol 10
\pages 96--109
\mathnet{http://mi.mathnet.ru/trspy36}
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  • https://www.mathnet.ru/eng/trspy/v10/p96
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Informatics and Automation
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    Abstract page:370
    Full-text PDF :160
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