Results 1 to 10 of about 591,517 (147)
Beta regression model nonlinear in the parameters with additive measurement errors in variables. [PDF]
PLoS ONE, 2021 We propose in this paper a general class of nonlinear beta regression models with measurement errors. The motivation for proposing this model arose from a real problem we shall discuss here. The application concerns a usual oil refinery process where the
Daniele de Brito Trindade +4 more
doaj +2 more sources
Testing for differentially-expressed microRNAs with errors-in-variables nonparametric regression. [PDF]
PLoS ONE, 2012 MicroRNA is a set of small RNA molecules mediating gene expression at post-transcriptional/translational levels. Most of well-established high throughput discovery platforms, such as microarray, real time quantitative PCR, and sequencing, have been ...
Bin Wang +4 more
doaj +2 more sources
Robust recursive estimation for the errors-in-variables nonlinear systems with impulsive noise [PDF]
Scientific ReportsThe non-Gaussian characteristic of the external disturbance poses a great challenge for system modeling and identification. This paper develops a robust recursive estimation algorithm for the errors-in-variables nonlinear system with the impulsive noise.
Xuehai Wang, Fang Zhu
doaj +2 more sources
Identification of linear dynamic systems of fractional order with errors in variables based on an augmented system of equations [PDF]
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2021 Equations with derivatives and fractional order differences are widely used to describe various processes and phenomena. Currently, methods of identification of systems described by equations with fractional order differences are actively developing. The
Dmitriy V. Ivanov
doaj +1 more source
Changepoint in Error-Prone Relations
Mathematics, 2021 Linear relations, containing measurement errors in input and output data, are considered. Parameters of these so-called errors-in-variables models can change at some unknown moment.
Michal Pešta
doaj +1 more source
Expectile Regression With Errors-in-Variables
IEEE Access, 2023 This paper studies the expectile regression with error-in-variables to reduce the data error and describe the overall data distribution. Specifically, the asymptotic normality of the proposed estimator is thoroughly investigated, and an IRWLS algorithm ...
Xiaoxia He, Xiaodan Zhou, Chunli Li
doaj +1 more source
A Non-Iterative Approach to Direct Data-Driven Control Design of MIMO LTI Systems
IEEE Access, 2023 This paper proposes a non-iterative direct data-driven technique that deals with linear time-invariant (LTI) controller design by directly identifying the controller from input-output data without using plant identification.
Mohammad Abuabiah +3 more
doaj +1 more source
Mathematics, 2021 This paper is devoted to the identification of the parameters of discrete fractional systems with errors in variables. Estimates of the parameters of such systems can be obtained using generalized total least squares (GTLS). A GTLS problem can be reduced
Dmitriy Ivanov, Aleksandr Zhdanov
doaj +1 more source
Identification of Fractional Models of an Induction Motor with Errors in Variables
Fractal and Fractional, 2023 The skin effect in modeling an induction motor can be described by fractional differential equations. The existing methods for identifying the parameters of an induction motor with a rotor skin effect suggest the presence of errors only in the output ...
Dmitriy Ivanov
doaj +1 more source
General Total Least Squares Theory for Geodetic Coordinate Transformations
Applied Sciences, 2020 Datum transformations are a fundamental issue in geodesy, Global Positioning System (GPS) science and technology, geographical information science (GIS), and other research fields.
Yuxin Qin +3 more
doaj +1 more source