참고문헌
- JAMES, W. AND STEIN, C. (1961). 'Estimation with quadratic loss', Proceedings of the 4th Berkeley Symposium on Mathematical Statistics, I, University of California Press, Berkley, CA, 361-379
- MEHTA, J. S. AND SRINIVASAN, R. (1971). 'Estimation of the mean by shrinkage to a point', Journal of the American Statistical Association, 66, 86-90 https://doi.org/10.2307/2284853
- PANDEY, B. N. (1979). 'On shrinkage estimation of normal population variance', Communications in Statistics- Theory and Methods, 8, 359-365 https://doi.org/10.1080/03610927908827765
- PANDEY, B. N. AND SINGH, B. P. (1978). 'On estimation of rth power of scale in exponential distribution from complete and censored samples', Progress of Mathematics, 12, 51-57
- PANDEY, B. N. AND SINGH, J. (1977). 'Estimation of the variance of normal population using prior information', Journal of the Indian Statistical Association, 15, 141-150
- SAXENA, S. (2002). Improved Estimation of Parameter(s) Using Prior Information, Unpublished Ph. D. Thesis, Vikram University, Ujjain, MP, India
- SINGH, H. P. AND SAXENA, S. (2003). 'An improved class of shrinkage estimators for the variance of a normal population', Statistics in Transition, 6, 119-129
- SINGH, H. P. AND SHUKLA, S. K. (1999). 'Families of shrinkage estimators of kth power of scale parameters in exponential distribution from complete and censored samples', Journal of Statistical Studies, 19, 29-35
- SINGH, H. P., SHUKLA, S. K. AND KATYAR, N. P. (1999). 'Estimation of standard deviation in normal distribution with prior information', Proceedings of the National Academic Sciences India, 69, 183-189
- SINGH, H. P. AND SINGH, R. (1997). 'A class of shrinkage estimators for the variance of a normal population', Microelectronics & Reliability, 37, 863-867 https://doi.org/10.1016/S0026-2714(96)00103-5
- SINHA, S. K. AND KALE, B. K. (1980). Life Testing and Reliability Estimation, Wiley Eastern, New Delhi, India, 152
- THOMPSON, J. R. (1968). 'Some shrinkage techniques for estimating the mean', Journal of the American Statistical Association. 63. 113-122 https://doi.org/10.2307/2283832