Affiliation:
1. College of Mathematical and System Sciences, Xinjiang University, Urumqi, China
Abstract
The multivariate uncertain regression model reveals the relationship between the explanatory and response variables to us very effectively. In this paper, firstly, the uncertain maximum likelihood estimation method for the parameters of the one-dimensional uncertain regression model is extended to the multivariate uncertain regression model to obtain estimates of the parameters. Secondly, in order to determine the reasonableness of the estimated values that are obtained by the various parameter estimation methods, uncertain hypothesis testing is applied to the multivariate uncertain regression model. Finally, some numerical examples are given to verify the feasibility of the method.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference18 articles.
1. Liu B. , Uncertainty Theory, 2nd, Springer Berlin, (2007).
2. Liu B. , Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty, Berlin: Springer, (2010).
3. Least absolute deviations for uncertain multivariate regression model;Zhang;International Journal of General Systems,2020
4. Uncertain regression model with autoregressive time series errors;Chen;Soft Computing,2021
5. The adjustment of stock prices to new information;Fama;International Economic Review,1969
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