Functional moments estimators analysis by the Monte-Carlo method for model of mixture with varying concentrations
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2018, Vol 14, Issue 1
Abstract
The functional moments estimation by the sample from the mixture with varying concentrations is studied. The problem of efficiency the simple linear estimator with fixed weight against the adaptive or improved estimators with random weight is considered. By the Monte-Carlo method it is shown that simple linear estimator is better for small sample sizes, but for large samples the adaptive and improved estimators are more efficient.
Authors and Affiliations
Kubaychuk Oksana
Keywords
Related Articles
- EP ID EP651804
- DOI 10.24297/jam.v14i1.6475
- Views 179
- Downloads 0
Modelling and Analysis of HIV/AIDS Menace using Differential Equations
Mathematical models play important role in understanding the population dynamics of HIV/AIDS. In this study, a mathematical model is formulated for a community which has the structure of two classes with different levels...
The principle of natural law show Complete Scientific Modeling" with its internet could inclusive of all human faith, knowledge and experience. The world peace come from all the personality together blooming and complement each other
This paper, based on Humankinds interdisciplinary and complete theory of mutual cognition publishing by china Xian Zhuang Publisher and The principle of cosmic life being multi-dimensional and simultaneously evolving Pub...
On the sulutions of a fractional differemtial equation
We have showed the results obtained in [1] are incorrect and the fractional complex transform is invalid to the fractional differential equation which contain modified Riemann-Liouville fractional derivative.
Maximum likelihood Estimation for Stochastic Differential Equations with two Random Effects in the Diffusion Coefficient
We study n independent stochastic processes(xi (t),tiЄ[o,t1 ],i=1,......n) defined by a stochastic differential equation with diffusion coefficients depending nonlinearly on a random variables and ...
Quasi-Compactness in Quasi-Banach Spaces
Quasi-compactness in a quasi-Banach space for the sequence space Lp, p< 0 < p <1 has been introduced based on the important extension of Milman's reverse Brunn-Minkowiski inequality by Bastero et al. in 199...