Results 1 to 10 of about 11,846 (165)
Pemodelan Regresi Nonparametrik dengan Estimator Spline Truncated vs Deret Fourier
ABSTRAK Pendekatan regresi nonparametrik digunakan apabila hubungan antara variabel prediktor dan variabel respon tidak diketahui polanya. Spline truncated dan deret Fourier merupakan estimator dalam pendekatan nonparametrik yang terkenal, karena ...
Andrea Tri Rian Dani +1 more
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Research on innovations in the statistics and statistical computing program systems implemented in the health sector. The development of a mixed estimator model is an innovation of nonparametric regression analysis by combining two approaches in ...
Sifriyani Sifriyani +3 more
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For nonparametric regression estimation, conventional research all focus on isotropic regression function. In this paper, a linear wavelet estimator of anisotropic regression function is constructed, the rate of convergence of this estimator is discussed
Jia Chen, Junke Kou
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The response variable of the regression analysis has a linear relationship with one of the variable predictors, however the unknown relationship pattern with the other predictor variables.
Hesikumalasari Hesikumalasari +3 more
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Nonparametric Estimation [PDF]
info:eu-repo/semantics ...
Jansen, Maarten, Claeskens, G.
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Nonparametric Smoothing for Extremal Quantile Regression with Heavy Tailed Data
In several different fields, it is interested in analyzing the upper or lower tail quantile of the underlying distribution rather than mean or center quantile.
Takuma Yoshida
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On nonparametric spectral estimation [PDF]
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Tomas Sundin, Petre Stoica
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Regression analysis is one of the statistical analyses used to estimate the relationship between the predictor and the response variable. Data are given in pairs, and the relationship between the predictor and the response variable was assumed to follow ...
NURUL FITRIYANI, I NYOMAN BUDIANTARA
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A more reliable species richness estimator based on the Gamma–Poisson model [PDF]
Background Accurately estimating the true richness of a target community is still a statistical challenge, particularly in highly diverse communities. Due to sampling limitations or limited resources, undetected species are present in many surveys and ...
Chun-Huo Chiu
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Comparing nonparametric density estimators using different canonical kernel functions [PDF]
In this article we make a comparison between three different nonparametric density estimators .The first estimator is called fixed kernel which uses a fixed bandwidth.
Munaf Yousif, Dhafir H.Rashed
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