Skip to main content
Log in

On the Distribution of the Extremes of Unequally Correlated Normal Variables with Applications to Antedependent Cluster Data

  • Published:
Annals of the Institute of Statistical Mathematics Aims and scope Submit manuscript

Abstract

Based on a small correlations approach, this paper deals with the probability distributions of the order statistics under a general Gaussian model with unequal (positive or negative) correlations. Illustrations are given for the cluster data those follow suitable antedependence models.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  • Albert, J. M. (1992). A corrected likelihood ratio statistic for the multivariate regression model with antedependent errors, Comm. Statist. Theory Methods, 21(7), 1823–1843.

    Google Scholar 

  • Cochran, W. G. (1977). Sampling Techniques, Wiley, New York.

    Google Scholar 

  • Ellenberg, J. H. (1973). The joint distribution of the standardized least squares residuals from a general linear regression, J. Amer. Statist. Assoc., 68, 941–943.

    Google Scholar 

  • Ellenberg, J. H. (1976). Testing for a single outlier from a general linear regression, Biometrics, 32, 637–645.

    Google Scholar 

  • Gabriel, K. R. (1961). The model of antedependence for data of biological growth, Bull. Inst. Internat. Statist., 33rd Session, 253–264, Paris.

  • Gabriel, K. R. (1962). Antedependence analysis of an ordered set of variables, Ann. Math. Statist., 33, 201–212.

    Google Scholar 

  • Greig, M. (1967). Extremes in a random assembly, Biometrika, 54, 273–282.

    Google Scholar 

  • Gupta, S. S. (1960). Order statistics from the gamma distribution, Technometrics, 2, 243–262.

    Google Scholar 

  • Gupta, S. S. (1962). Gamma distribution, Contributions to Order Statistics (eds. A. E. Sarhan and B. G. Greenberg), 431–450, Wiley, New York.

    Google Scholar 

  • Gupta, S. S., Pillai, K. C. S. and Steck, G. P. (1964). On the distribution of linear functions and ratios of linear functions of ordered correlated normal random variables with emphasis on range, Biometrika, 51, 143–151.

    Google Scholar 

  • Gupta, S. S., Nagel, N. and Panchapakesan, S. (1973). On the order statistics from equally correlated normal random variables, Biometrika, 60(2), 403–413.

    Google Scholar 

  • Holfman, T. R. and Saw, J. G. (1975). Distribution of the largest of a set of equi-correlated normal variables, Comm. Statist., 4(1), 49–55.

    Google Scholar 

  • Kenward, M. G. (1987). A method for comparing profiles of repeated measurements, Appl. Statist., 36(3), 296–308.

    Google Scholar 

  • Owen, D. B. and Steck, G. P. (1962). Moments of order statistics from the equicorrelated multivariate normal distribution, Ann. Math. Statist., 33, 1286–1291.

    Google Scholar 

  • Prescott, P. (1974). Variances and covariances of order statistics from the gamma distribution, Biometrika, 61(3), 607–613.

    Google Scholar 

  • Rao, J. N. K., Sutradhar, B. C. and Yuo, K. (1993). Generalized least squares F test in regression analysis with two-stage cluster samples, J. Amer. Statist. Assoc., 88, 1388–1391.

    Google Scholar 

  • Rawlings, J. O. (1976). Order statistics for a special class of unequally correlated multi-normal variates, Biometrics, 32, 875–887.

    Google Scholar 

  • Scott, A. C. and Holt, D. (1982). The effect of two-stage sampling on ordinary least squares methods, J. Amer. Statist. Assoc., 77, 848–854.

    Google Scholar 

  • Wu, C. F. J., Holt, D. and Holmes, D. J. (1988). The effect of two-stage sampling on the F statistics, J. Amer. Statist. Assoc., 83, 150–159.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Saha, K.K., Sutradhar, B.C. On the Distribution of the Extremes of Unequally Correlated Normal Variables with Applications to Antedependent Cluster Data. Annals of the Institute of Statistical Mathematics 51, 301–322 (1999). https://doi.org/10.1023/A:1003810208881

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1003810208881

Navigation