References
- Arnold, B. C. (1983). Pareto Distributions. Maryland: International Co-operative Publishing House.
- Casella, G., Berger, R. L. (2002). Statistical Inference. Pacific Grove: Duxbury Press.
- Chen, M. H., Shao, Q. M. (1999). Monte Carlo estimation of Bayesian credible and HPD intervals. Journal of Computational and Graphical Statistics 8:69–92.
- Efron, B. (1982). The Jackknife, the Bootstrap and Other Resampling Plans. Conference Board of the Mathematical Sciences-National Science Foundation (CBMS-NSF) Regional Conference Series in Applied Mathematics. Vol. 38. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM).
- Éltetö, Ö., Frigyes, E. (1968). New income inequality measures as efficient tools for casual analysis and planning. Econometrica 36(2):383–396.
- Gunasekera, S. (2015). Generalized inference of ) for Pareto distribution. Statistical Papers (née Statistische Hefte) 56(2):333–351. doi:10.1007/s00362-014-0584-8.
- Gunasekera, S. (2016). Bayesian Inference for the Offered Optical Network Unit Load. Communications in Statistics–Theory and Methods 45(10):2890–2919. doi:http://dx.doi.org/10.1080/03610926.2014.892136.
- Gunasekera, S. and Ananda, M. M. A. (2015). Generalized Variable Method Inference for the Location Parameter of the General Half-Normal distribution. Journal of Statistical Computation and Simulation 85(10):2115–2132. doi:http://dx.doi.org/10.1080/00949655.2014.923424.
- Hall, P. (1988). Theoretical comparison of bootstrap confidence intervals. Annals of Statistics 16:927–953.
- Kondor, Y. (1971). An old-new measure of income inequality. Econometrica 39:1041–1042.
- Lwin, T. (1972). Estimation of the tail of the Paretian law. Scandinavian Actuarial Journal 55:170–178.
- Malik, H. J. (1970). Estimation of the parameters of the Pareto distribution. Metrika 15:126–132.
- Pietra, G. (1948). Studi di Statistica Metodologica, Giuffré: Milano.
- Quandt, R. E. (1966). Old and new methods of estimation and the Pareto distribution. Metrika 10:55–82.
- Serfling, R. J. (1980). Approximation Theorems of Mathematical Statistics. Hoboken: Wiley.
- Theil, H. (1967). Economics and Information Theory. Chicago, IL: Rand McNally & Company.
- Tsui, K., Weerahandi, S. (1989). Generalized p-values in significance testing of hypotheses in the presence of nuisance parameters. Journal of the American Statistical Association 84:602–607.
- Weerahandi, S. (1993). Generalized confidence intervals. Journal of the American Statistical Association 88:899–905, correction in 89:726.
- Weerahandi, S. (1995). Exact Statistical Methods for Data Analysis. New York: Springer-Verlag.
- Weerahandi, S. (2004). Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models. New Jersey: John Wiley.
- Weerahandi, S. (2012). Generalized point estimation with application to small response estimation. Communications in Statistics—Theory and Methods 41(22):4069–4095.