Prediction of COVID-19 with Supervised Regression Algorithm Through Minimum Variance Unbiased Estimator
نویسندگان
چکیده
منابع مشابه
The Minimum Variance Unbiased Estimator
This module motivates and introduces the minimum variance unbiased estimator (MVUE). This is the primary criterion in the classical (frequentist) approach to parameter estimation. We introduce the concepts of mean squared error (MSE), variance, bias, unbiased estimators, and the bias-variance decomposition of the MSE. The Minimum Variance Unbiased Estimator 1 In Search of a Useful Criterion In ...
متن کاملAn Uniformly Minimum Variance Unbiased Point Estimator Using Fuzzy Observations
This paper proposes a new method for uniformly minimum variance unbiased fuzzy point estimation. For this purpose we make use of a uniformly minimum variance unbiased estimator and we develop this new method for a fuzzy random sample X̃1, . . . , X̃n is induced by X1, . . . , Xn on the same probability space. Zusammenfassung: In diesem Aufsatz schlagen wir eine neue Methode vor, um einen unverzer...
متن کاملUnbiased minimum variance estimation for systems with unknown exogenous inputs
A new method is developed for the state estimation of linear discrete-time stochastic system in the presence of unknown disturbance. The obtained filter is optimal in the unbiased minimum variance sense. The necessary and sufficient conditions for the existence and the stability of the filter are given.
متن کاملVariance Estimation for the General Regression Estimator
A variety of estimators of the variance of the general regression (GREG) estimator of a mean have been proposed in the sampling literature, mainly with the goal of estimating the design-based variance. Estimators can be easily constructed that, under certain conditions, are approximately unbiased for both the design-variance and the model-variance. Several dual-purpose estimators are studied he...
متن کاملMinimum-variance Pseudo-unbiased Reduced-rank Estimator (mv-pure) and Its Applications to Ill-conditioned Inverse Problems
This paper presents mathematically novel estimator for the linear regression model named Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator (MV-PURE), designed specially for applications where the model matrix under consideration is ill-conditioned, and auxiliary knowledge on the unknown deterministic parameter vector is available in the form of linear constraints. We demonstrate closed al...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Current Research and Review
سال: 2021
ISSN: 2231-2196,0975-5241
DOI: 10.31782/ijcrr.2021.sp208