Results 211 to 220 of about 706 (230)

Multivariate statistical analysis of heavy metals distribution in benthic organisms

Toxicological & Environmental Chemistry, 1996
Abstract Data from chemical analysis of different groups of benthic organisms from the Black Sea are treated by the use of multivariate statistical approaches like cluster, factor and principle components analysis. The results obtained deliver new and complete information on the reaction of the organisms of the zoobenthos to heavy metal pollution and ...
S. Tsakovski, V. Simeonov, P. Mandjukov, G. Andreev   +3 more
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Asymptotic Formulae for the Distribution of a Multivariate Test Statistic: Power Comparisons of Certain Multivariate Tests

Biometrika, 1971
(a) W=TI{1/(l+cj)}, (b) T-=n nc3, (c) V=n n{cj/(l+cj)}. The test (a) is the likelihood ratio criterion (Wilks, 1932). Bartlett (1939) proposed (b) and (c) as reasonable alternatives to (a) for testing the general linear hypothesis. The test (b) was studied by Hotelling (1947, 1951) and (c) has been studied intensively by Pillai (1964, 1966). Asymptotic
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Household budget-share distributions and welfare implications: an application of multivariate distributional statistics

Journal of Applied Statistics, 2015
In this paper the consequences of considering the household ‘food share’ distribution as a welfare measure, in isolation from the joint distribution of itemized budget shares, is examined through the unconditional and conditional distribution of ‘food share’ both parametrically and nonparametrically.
Racine, Jeffrey S., Chakrabarty, Manisha, Majumder, Amita   +2 more
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On characterization of multivariate stable distributions via random linear statistics

Journal of Theoretical Probability, 1995
A random linear statistic \(U\) is a linear combination of \(n\) nondegenerate, independent and identically distributed \(d\times 1\) random vectors \(X_ i\), \(i=1,\dots, n\), when the coefficients form an \(n\times 1\) random vector \(Y\) independent of the \(X_ i\)'s.
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On the multivariate distributions of order statistics of discrete-state processes

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
The authors consider the problem of determining the multivariable joint probability distributions of the order statistics of discrete-state processes whose elements are independent and identically distributed. Two methods, the indirect and direct methods, are presented and compared in terms of their inherent computational complexity. Recursive formulae
D.M. Raymond, M.M. Fahmy
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The Distribution of Some Multivariate Statistics Associated With Two Multivariate Hypotheses Under Violation

The Egyptian Statistical Journal, 1979
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On the distribution of a complex multivariate statistic

Archiv der Mathematik, 1971
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Multivariate modeling of subband image statistics using spherically symmetric distributions

Proceedings. IEEE International Symposium on Information Theory, 2005
F. Muller, C. Stiller
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Asymptotic Distribution of a Class of Multivariate Rank Order Statistics^*

Calcutta Statistical Association Bulletin, 1970
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Asymptotic formulas for the non-null distributions of three statistics for multivariate linear hypothesis

, 1975
Yasunori Fujikoshi
openalex   +1 more source