Articles
| Open Access | Confidence Interval For An Unknown Mathematical Expectation Based On Weakly Related Observations
Yusupov Farrukh , Assistant Of Tashkent State Transport University, Uzbekistan Khasanova Zukhra , Tashkent State University Of Economics, UzbekistanAbstract
In this article, we construct confidence intervals for estimating the unknown mathematical expectation of weakly related random variables. To do this, we first define a weak relationship.
Keywords
Random Quantities, Algebra, , Dimensional Function
References
Sh.Q.Formanov. Probability theory. Tashkent, “University”, 2014, 264 p.
Abdushukurov A.A, Nurmuhamedova N.S, Sagdullayev K.S. Mathematical statistics (assessment of parameters and testing of hypotheses on examples) Tashkent, “UNIVERSITY”, 2013, 105 p.
Bradley, R.C. Introduction to Strong Mixing Conditions.Vol .1-3.Kendrick Press, Heber City, UT, 2007.
Carlstein, E. The use of subseries values for estimating the variance of general stastistic from a stationary sequence.Annals of Statistics 14,1986, 1171-1179.
H.Dehling, R.Fried, O.SH.SHaripov, D.Vogel, M.Wornowizki.
Estimation of the variance of partial sums of dependent processes.
Statistics and Probability Letters 83 (2003) 141-147.
Article Statistics
Downloads
Copyright License
Copyright (c) 2021 The American Journal of Applied sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.