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wavelet shrinkage in estimation of regression function with error in variables
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نویسنده
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rahmati ghodratollah ,shirazi esmaeil ,yarmohammadi masoud ,nasiri parviz
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منبع
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international journal of nonlinear analysis and applications - 2025 - دوره : 16 - شماره : 11 - صفحه:101 -109
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چکیده
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The purpose of this study was to estimate the unknown regression function h in a regression model having errors-in variables: (y, x), where y = h(u) + e and x = u + t. we propose a new adaptive estimator through the wavelet shrinkage method to estimate h. in particular, the block thresholding method has been investigated by considering some simple assumptions on e. finally, using a simulation study, we have compared the proposed estimator with other threshold estimators.
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کلیدواژه
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block thresholding method ,error in variable ,nonparametric regression ,shrinkage method ,wavelets
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آدرس
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payame noor university, faculty of science, department of statistics, iran, gonbad kavous university, faculty of science, department of statistics, iran, payame noor university, faculty of science, department of statistics, iran, payame noor university, faculty of science, department of statistics, iran
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پست الکترونیکی
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pnasiri@pnu.ac.ir
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Authors
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