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Title: On multiple normal probabilities of rectangles (English)
Author: Anděl, Jiří
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 16
Issue: 3
Year: 1971
Pages: 172-181
Summary lang: English
Summary lang: Czech
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Category: math
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Summary: Denote $A$ a symmetric interval in the $n$-dimensional Euclidean space. Let the random vector $X$ have $n$-dimensional normal distribution with vanishing expectation and regular covariance matrix. A method for the numerical evaluation of the probability $P(A)=P(X\in A)$ is suggested in the paper. $P(A)$ is expressed as the sum of an infinite series. The bounds for the remainder term are given. The rate of convergence is analysed in detail in the twodimensional case. Two numerical examples are given to compare derived results with other methods. ()
MSC: 62H99
idZBL: Zbl 0223.62080
idMR: MR0285061
DOI: 10.21136/AM.1971.103343
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Date available: 2008-05-20T17:50:29Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103343
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Reference: [1] H. Cramér: Mathematical methods of statistics.Princeton, Princeton Univ. Press, 1946. MR 0016588
Reference: [2] R. N. Curnow C. W. Dunnett: The numerical evaluation of certain multivariate normal integrals.Ann. Math. Stat. 33, 1962, 571-579. MR 0137234, 10.1214/aoms/1177704581
Reference: [3] V. Jarník: Integrální počet II.Praha, 1955.
Reference: [4] C. R. Rao: Linear statistical inference and its applications.New York, 1966. MR 0221616
Reference: [5] G. P. Steck: A table for computing trivariate normal probabilities.Ann. Math. Stat. 29, 1958, 780-800. Zbl 0088.36101, MR 0093803, 10.1214/aoms/1177706536
Reference: [6] Z. Šidák: Rectangular confidence regions for the means of multivariate normal distributions.Journ. Amer. Stat. Assoc. 62, 1967, 626-633. MR 0216666
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