27Mar 2019

ON THE MEAN AND VARIANCE OF A FUNCTION OF ORDER STATISTICS.

  • Department of Statistics, University of Karachi, Pakistan.
  • Department of Economics, University of Karachi, Pakistan.
  • Usman Institute of Technology, Karachi, Pakistan.
  • Abstract
  • Keywords
  • References
  • Cite This Article as
  • Corresponding Author

Order statistics deals with the properties and applications of random variables and their functions. In this study the distribution of order statistics for samples is derived andTaylor?s expansion technique is applied for the calculation of moments ofthe functions. The transformation of random variable X, i.e. h(X) has been computed in several ways as well and it is found that the variance of ln(X(m+1)) is negligible as compared to the variance of X(m+1). In this paper the probability distribution of ln(X(m+1)) is completely evaluated for large samples.


  1. Bairamov, I. G., Gebizlioglu, O. L., & Kaya, M. F. (2001). Asymptotic distributions of statistics based on order statistics and record values and invariant confidence intervals. In?Asymptotic methods in probability and statistics with applications(pp. 309-320). Birkh?user, Boston, MA.
  2. Balakrishnan, N., & Cohen, A. C. (2014).?Order statistics & inference: estimation methods. Elsevier.
  3. Box, G.E.P., and Cox, D.R. (1964). An Analysis of Transformations. Jour. of the Royal Stat. Soc., Ser. B., 26, 211-252.
  4. Buitendag, S. (2014). An Investigation into Order Statistics: Asymptotic Distributions and Expansions.Thesis.Stellenbosch University.
  5. Carroll, R.J. and Ruppert, D. (1988). Transformation in regression: A robust analysis. Techno metric, 27,1-27.
  6. Chao, J. C., Corradi, V., & Swanson, N. R. (2001). Data transformation and forecasting in models with unit roots and cointegration.?Annals of Economics and Finance,?2(1), 59-76.
  7. Cohen, D. S. (2001). Linear data transformations used in economics.?Federal Reserve Board, FEDS Working Paper, (2001-59).
  8. David, H. A., &Nagaraja, H. N. (2004). Order statistics.?Encyclopedia of Statistical Sciences,?9.
  9. Grinza, E., Kampelmann, S., &Rycx, F. (2018). L'union fait la force? Evidence for Wage Discrimination in Firms with High Diversity.IZA Discussion Papers 11520
  10. Gumbel, E. J. (2012).?Statistics of extremes. Courier Corporation.
  11. Horrace, W. C. (2000). Selection Procedures for Order Statistics in Empirical Economic Studies.
  12. Kampelmann, S., &Rycx, F. (2016). Wage discrimination against immigrants: measurement with firm-level productivity data.?IZA Journal of Migration,?5(1), 15.
  13. L?ck, A., & Wolf, V. (2016). Generalized method of moments for estimating parameters of stochastic reaction networks.?BMC systems biology,?10(1), 98.
  14. L?tkepohl, H., &Xu, F. (2012). The role of the log transformation in forecasting economic variables.?Empirical Economics,?42(3), 619-638.
  15. Menzel, K., &Morganti, P. (2013). Large sample properties for estimators based on the order statistics approach in auctions.?Quantitative Economics,?4(2), 329-375.
  16. Parrado-Gallardo, E. M., B?rcena-Mart?n, E., &Imedio-Olmedo, L. J. (2014, September). Inequality, Welfare, and Order Statistics. In?Economic Well-Being and Inequality: Papers from the Fifth ECINEQ Meeting(pp. 383-399). Emerald Group Publishing Limited.
  17. Ryan, B.F., and Joiner, B.L. (1994). Minitab Handbook Third Edition. Blement, C A: Duxbing Press

[Ehtesham Hussain, Muhammad Ahsanuddin and Masood Ul Haq (2019); ON THE MEAN AND VARIANCE OF A FUNCTION OF ORDER STATISTICS. Int. J. of Adv. Res. 7 (Mar). 1266-1270] (ISSN 2320-5407). www.journalijar.com


Muhammad Ahsanuddin
University of Karachi, Pakistan

DOI:


Article DOI: 10.21474/IJAR01/8759      
DOI URL: https://dx.doi.org/10.21474/IJAR01/8759