References
- Ahsanullah M., & Hamedani, G. G. (2011). Exponential distribution: theory and methods. Nova Science Publishers.
- Arnold B. C., Balakrishnan, N., & Nagaraja, H. N. (1998). Records. New York, NY: Wiley.
- Baklizi, A. (2005). Preliminary test estimation in the two parameter exponential distribution with time censored data. Applied Mathematics and Computation, 163(2), 639–643.
- Baklizi, A. (2010). Preliminary test estimation in the two-parameter exponential distribution based on record values. Journal of Applied Statistical Science, 18(3), 387–393.
- Balakrishnan N., & Chan, P. S. (1994). Record values from Rayleigh and Weibull distributions and associated inference. Proceedings of Conference on Extreme Value Theory and Applications, 3, 41–51.
- Brook, R. J. (1976). On the use of a regret function to set significance points in prior tests of estimation. Journal of the American Statistical Association, 71(353), 126–131.
- Chiou, P., & Han, C. P. (1989). Shrinkage estimation of threshold parameter of the exponential distribution. IEEE Transactions on Reliability, 38(4), 449–453.
- Dunsmore, I. R. (1983). The future occurrence of records. Annals of the Institute of Statistical Mathematics, 35(1), 267–277.
- Hansen, Bruce E. (2015). Shrinkage efficiency bounds. Econometric Theory, 31(4), 860–879.
- Johnson, N. L., Kotz, S., & Balakrishnan, N. (1994). Continuous univariate distributions (Vol. 1). Wiley.
- Kibria B. M., & Saleh, A. K. Md.E. (2010). Preliminary test estimation of the parameters of the exponential and Pareto distributions for censored samples. Statistical Papers, 51(4), 757–773.
- Manski C. (2007). Minimax-regret treatment choice with missing outcome data. Journal of Econometrics, 139, 105–115.
- Manski C., & Tetenov, A. (2007). Admissible treatment rules for a risk-averse planner with experimental data on an innovation. Journal of Statistical Planning and Inference, 137, 1998–2010.
- Ohtani, K., & Toyoda, T. (1978). Minimax regret critical values for a preliminary test in pooling variances. Journal of the Japan Statistical Society, 8(1), 15–20.
- Sawa, H., & Hiromatsu, T. (1973). Minimax regret significance points for a preliminary test in regression analysis. Econometrica, 41(6), 1093–1101.
- Stoye, J. (2007). Minimax regret treatment choice with incomplete data and many treatments. Econometric Theory, 23(1), 190–199.
- Stoye, J. (2009). Minimax regret treatment choice with finite samples. Journal of Econometrics, 151(1), 70–81.
- Tetenov, A. (2012). Statistical treatment choice based on asymmetric minimax regret criteria. Journal of Econometrics, 166(1), 157–165.
- Toyoda, T., & Wallace, D. (1975). Estimation of variance after a preliminary test of homogeneity and optimum levels of significance for the pre-test. Journal of Econometrics, 3(4), 395–404.
- Xu, H. (2013). MSE performance and minimax regret significance points for a HPT estimator when each individual regression coefficient is estimated, communications in statistics. Theory and Methods, 42(12), 2152–2164.
- Zakerzadeh, H., & Karimi, M. (2014). Minimax regret estimation of exponential distribution based on record values under weighted square error loss function. Journal of Mathematical Extension, 8(4), 1–8.
- Zakerzadeh, H., Jafari, A., & Karimi, M. (2016). Optimal shrinkage estimations for the parameters of exponential distribution based on record values. Revista Colombiana de Estadística, 39(1), 33–44.
![Supercharge Your Next Research Paper: Research and write your next paper with Jenni AI.]({"type":"image" , "src" : "/sda/112445/Skyscraper-econ.png"})