Skip to main content
Log in

Weighted correlation tests for scale families

  • Published:
Test Aims and scope Submit manuscript

Abstract

We show that weighted versions of recent correlation tests do not require light underlying tails. We formulate a general theorem concerning the asymptotic null distribution of weighted correlation test statistics for scale families, and demonstrate that the resulting tests may work not only for all Weibull scale families, but, with suitable choices of the weight functions, even for all Pareto scale families, in each of which the scale varies the left endpoint of the distribution.

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.

Institutional subscriptions

Similar content being viewed by others

References

  • Chernoff, H., Gastwirth, J. L., andJohns, M. V., Jr. (1967). Asymptotic distribution of linear combinations of functions of order statistics with applications to estimation.Annals of Mathematical Statistics, 38:52–72.

    MathSciNet  Google Scholar 

  • Csörgő, M., Csörgő, S., Horváth, L., andMason D. M. (1986). Weighted empirical and quantile processes.Annals of Probability, 14:31–85.

    MathSciNet  Google Scholar 

  • Csörgő, S. (2000). Testing for Weibull scale families as a test case for Wasserstein correlation tests [Discussion of del Barrio, Cuesta-Albertos and Matrán].Test, 9(1):54–70.

    Google Scholar 

  • Csörgő, S. andSzabó, T. (2003). Weighted correlation tests for gramma and lognormal families.Tatra Mountains Mathematical Publications, 26.

  • Csörgő, S. andViharos, L. (1998). Estimating the tail index. In B. Szyszkowicz, ed.,Asymptotic Methods in Probability and Statistics, pp. 833–881, North-Holland, Amsterdam.

    Google Scholar 

  • Csörgő, M. andHorváth, L. (1993).Weighted Approximations in Probability and Statistics. Wiley, New York.

    Google Scholar 

  • De Wet, T. (2000). Discussion of del Barrio, Cuesta-Albertos and Matrán.Test, 9(1):74–79.

    Google Scholar 

  • De Wet, T. (2002). Goodness-of-fit tests for location and scale families based on a weightedL 2-Wasserstein distance measure.Test, 11(1):89–107.

    MATH  MathSciNet  Google Scholar 

  • Del Barrio, E., Cuesta-Albertos, J. A., andMatrán, C. (2000). Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests.Test, 9(1):1–95. With discussion.

    MATH  MathSciNet  Google Scholar 

  • Del Barrio, E., Cuesta-Albertos, J. A., Matrán, C., andRodríguez-Rodríguez, J. M. (1999). Tests of goodness of fit based on theL 2-Wasserstein distance.Annals of Statistics, 27(4):1230–1239.

    Article  MATH  MathSciNet  Google Scholar 

  • Giné, E. (2000), E. del Barrio. Personal Communication.

  • Lockhart, R. A. (1985). The asymptotic distribution of the correlation coefficient in testing fit to the exponential distribution.Canadian Journal of Statistics, 13:253–256.

    MATH  MathSciNet  Google Scholar 

  • Lockhart, R. A. (1991). Overweight tails are inefficient.Annals of Statistics, 19:2254–2258.

    MATH  MathSciNet  Google Scholar 

  • Lockhart, R. A. andStephens, M. A. (1998). The probability plot: Tests of fit based on the correlation coefficient. In N. Balakrishnan and C. R. Rao, eds.,Handbook of Statistics 17. Order Statistics: Applications, pp. 453–473. Elsevier, Amsterdam.

    Google Scholar 

  • McLaren, C. G. andLockhart, R. A. (1987). On the asymptotic efficiency of certain correlation tests of fit.Canadian Journal of Statistics, 15:159–167.

    MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Research supported in part by the Hungarian National Foundation for Scientific Research, Grants T-032025 and T-034121

Rights and permissions

Reprints and permissions

About this article

Cite this article

Csörgö, S. Weighted correlation tests for scale families. Test 11, 219–248 (2002). https://doi.org/10.1007/BF02595737

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02595737

Key Words

AMS subject classification

Navigation