Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Dursun, Aydin"'
Publikováno v:
Symmetry, Vol 16, Iss 4, p 386 (2024)
In data analysis using a nonparametric regression approach, we are often faced with the problem of analyzing a set of data that has mixed patterns, namely, some of the data have a certain pattern and the rest of the data have a different pattern. To
Externí odkaz:
https://doaj.org/article/688514ee0326454bbdaded82f9c2327b
Publikováno v:
Journal of King Saud University: Science, Vol 35, Iss 5, Pp 102664- (2023)
The multiresponse semiparametric regression (MSR) model is a regression model with more than two response variables that are mutually correlated, and its regression function is composed of parametric and nonparametric components. The study objectives
Externí odkaz:
https://doaj.org/article/c2b4cf5f1c0843a19b05f9d372a12b9d
Publikováno v:
Symmetry, Vol 14, Iss 11, p 2227 (2022)
In statistical analyses, especially those using a multiresponse regression model approach, a mathematical model that describes a functional relationship between more than one response variables and one or more predictor variables is often involved. T
Externí odkaz:
https://doaj.org/article/87e51660ff454e79a7603d16baafc5c9
Publikováno v:
Revstat Statistical Journal, Vol 19, Iss 1 (2021)
This paper concerns kernel-type ridge estimators of parameters in a semiparametric model. These estimators are a generalization of the well-known Speckman’s approach based on kernel smoothing method. The most important factor in achieving this smoo
Externí odkaz:
https://doaj.org/article/0ffdb31519b34173882b466203dcb889
Autor:
Nur Chamidah, Budi Lestari, I. Nyoman Budiantara, Toha Saifudin, Riries Rulaningtyas, Aryati Aryati, Puspa Wardani, Dursun Aydin
Publikováno v:
Symmetry, Vol 14, Iss 2, p 336 (2022)
A multiresponse multipredictor semiparametric regression (MMSR) model is a combination of parametric and nonparametric regressions models with more than one predictor and response variables where there is correlation between responses. Due to this co
Externí odkaz:
https://doaj.org/article/8baf585f91d94521b3218b751cd04685
Autor:
Dursun AYDIN, Ersin YILMAZ
Publikováno v:
Revista Română de Statistică, Vol 65, Iss 2, Pp 81-104 (2017)
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are replaced by synthetic data po
Externí odkaz:
https://doaj.org/article/5a36a883b62d4825bf3d82993dc08dce
Autor:
Dursun AYDIN, Ersin YILMAZ
Publikováno v:
Volume: 9, Issue: Iconat Special Issue 2021 94-102
Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B-Teorik Bilimler
Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B-Teorik Bilimler
Estimation of error-invariable models is a specific problem in different fields such as medicine, economics, industry, and biostatistics. The main different between classical regression and error-in-variable models is that explanatory variables invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1def27fac0142e8a2bb36b7b9e14158b
https://doi.org/10.20290/estubtdb.1015940
https://doi.org/10.20290/estubtdb.1015940
Rational (Padé) approximation for estimating the components of the partially-linear regression model
Publikováno v:
Inverse Problems in Science and Engineering. 29:2971-3005
This paper proposes a new smoothing technique based on rational function approximation using truncated total least squares (P−TTLS) and compares it with the widely used smoothing spline method, whi...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b46ef3e463073519b4bf939bc8967666
https://doi.org/10.1080/17415977.2021.1961767
https://doi.org/10.1080/17415977.2021.1961767
Publikováno v:
Journal of the Iranian Statistical Society. 20:1-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8e548ec25bd3861832bd6cbb8acf036
https://doi.org/10.52547/jirss.20.1.1
https://doi.org/10.52547/jirss.20.1.1
Autor:
Dursun Aydin, Ersin Yilmaz
Publikováno v:
Volume: 21, Issue: 7-16
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
This paper considers the estimation of a nonparametric regression model with randomly right-censored data. To estimate the model, rational (Padé) approximation based on truncated total least squares (P-TTLS) is used as a smoothing method. Because of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f6d312dfdc587a96e8aeb1eef7df2b3
https://doi.org/10.18038/estubtda.818004
https://doi.org/10.18038/estubtda.818004