Minimum Mean Square Error Estimators for the Exponential SSALT Model
نویسندگان
چکیده
1School of Business Administration, Southwestern University of Finance and Economics No. 555, Liutai Ave, Wenjiang Zone, Chengdu 611130, China 2Yangtze Normal University, No. 98, Julong Ave, Fuling Zone, Chongqing, 408100, China 3School of Management and Economics University of Electronic Science and Technology of China No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
منابع مشابه
The Ratio-type Estimators of Variance with Minimum Average Square Error
The ratio-type estimators have been introduced for estimating the mean and total population, but in recent years based on the ratio methods several estimators for population variance have been proposed. In this paper two families of estimators have been suggested and their approximation mean square error (MSE) have been developed. In addition, the efficiency of these variance estimators are com...
متن کاملEstimation in Simple Step-Stress Model for the Marshall-Olkin Generalized Exponential Distribution under Type-I Censoring
This paper considers the simple step-stress model from the Marshall-Olkin generalized exponential distribution when there is time constraint on the duration of the experiment. The maximum likelihood equations for estimating the parameters assuming a cumulative exposure model with lifetimes as the distributed Marshall Olkin generalized exponential are derived. The likelihood equations do not lea...
متن کاملTruncated Linear Minimax Estimator of a Power of the Scale Parameter in a Lower- Bounded Parameter Space
Minimax estimation problems with restricted parameter space reached increasing interest within the last two decades Some authors derived minimax and admissible estimators of bounded parameters under squared error loss and scale invariant squared error loss In some truncated estimation problems the most natural estimator to be considered is the truncated version of a classic...
متن کاملEffect of Measurement Errors on a Class of Estimators of Population Mean Using Auxiliary Information in Sample Surveys
We consider the problem of estimation the population mean of the study variate Y in presence of measurement errors when information on an auxiliary character X is known. A class of estimators for population means using information on an auxiliary variate X is defined. Expressions for its asymptotic bias and mean square error are obtained. Optimum conditions are obtained for which the mean...
متن کاملEmpirical Bayes Estimation for Exponential Model Using Non-parameter Polynomial Density Estimator
In this study, we study the empirical Bayes estimation of the parameter of the exponential distribution. In the empirical Bayes procedure, we employ the non-parameter polynomial density estimator to the estimation of the unknown marginal probability density function, instead of estimating the unknown prior probability density function of the parameter. Empirical Bayes estimators are derived for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Informatica, Lith. Acad. Sci.
دوره 27 شماره
صفحات -
تاریخ انتشار 2016