A modified uncertain maximum likelihood estimation with applications in uncertain statistics
In uncertain statistics, the uncertain maximum likelihood estimation is a method of estimating
the values of unknown parameters of an uncertain statistical model that make the observed …
the values of unknown parameters of an uncertain statistical model that make the observed …
Estimation of uncertainty distribution function by the principle of least squares
In order to estimate the unknown parameters in an uncertainty distribution function, this
article uses the principle of least squares that minimizes the sum of the squared deviations …
article uses the principle of least squares that minimizes the sum of the squared deviations …
Solution method and parameter estimation of uncertain partial differential equation with application to China's population
Since the concept of uncertain partial differential equations (UPDEs) was proposed, it has
been developed significantly and led us to study parameter estimation for UPDEs. This …
been developed significantly and led us to study parameter estimation for UPDEs. This …
Moment estimation for uncertain regression model with application to factors analysis of grain yield
Y Liu - Communications in Statistics-Simulation and …, 2024 - Taylor & Francis
Uncertain regression analysis is a powerful analytical tool to model the relationships
between explanatory variables and the response variable by uncertainty theory. One of the …
between explanatory variables and the response variable by uncertainty theory. One of the …
Parameter estimation of uncertain differential equation by implementing an optimized artificial neural network
I Noorani, F Mehrdoust - Chaos, Solitons & Fractals, 2022 - Elsevier
This study suggests a novel method for estimation of uncertain stock model parameters
driven by Liu process. The proposed method decomposes the parameter estimation …
driven by Liu process. The proposed method decomposes the parameter estimation …
Analysis of China's population with uncertain statistics
Y Liu - Journal of Uncertain Systems, 2022 - World Scientific
Uncertain statistics is a set of mathematical techniques for collecting, analyzing, and
interpreting data by using uncertainty theory. This paper employs the tool of uncertain …
interpreting data by using uncertainty theory. This paper employs the tool of uncertain …
Partial derivatives of uncertain fields and uncertain partial differential equations
T Ye - Fuzzy Optimization and Decision Making, 2024 - Springer
Multivariate uncertain calculus is a branch of mathematics that deals with differentiation and
integration of uncertain fields based on uncertainty theory. This paper defines partial …
integration of uncertain fields based on uncertainty theory. This paper defines partial …
Are the queueing systems in practice random or uncertain? Evidence from online car-hailing data in Beijing
In order to rationally characterize the nondeterministic phenomena in queueing systems,
there exist two mathematical systems, one is probability theory concerned with the analysis …
there exist two mathematical systems, one is probability theory concerned with the analysis …
Higher-order derivative of uncertain process and higher-order uncertain differential equation
This paper initializes higher-order uncertain calculus that deals with higher-order
differentiation and multiple integration of uncertain process based on uncertainty theory …
differentiation and multiple integration of uncertain process based on uncertainty theory …
Modeling grain yield in China with uncertain time series analysis
Grain yield is an important factor related to the stable operation of a country's social
economy. This paper employs uncertain time series analysis (UTSA) to model rice grain …
economy. This paper employs uncertain time series analysis (UTSA) to model rice grain …