Applied Nonparametric Regression
Wolfgang Hardle
Humboldt-Universitat zu Berlin
Wirtschaftswissenschaftliche Fakultat
Institut fur Statistik und Okonometrie
Spandauer Str. 1
D{10178 Berlin1994}
Archive for the ‘NonParametrik Regression’ Category
Applied Nonparametric Regression
Posted by dhin pada 27 April 2009
Posted in NonParametrik Regression | 1 Comment »
Nonparametric Bayesian Data Analysis.
Posted by dhin pada 27 April 2009
Nonparametric Bayesian Data Analysis.
Peter Muller Fernando A. Quintana
Abstract
We review the current state of nonparametric Bayesian inference. The discussion follows a list of important statistical inference problems, including density estimation, regression, survival analysis, hierarchical models and model validation. For each inference problem we review relevant nonparametric Bayesian models and approaches including Dirichlet process (DP) models and variations, Polya trees, wavelet based models, neural network models, spline regression, CART, dependent DP models, and model validation with DP and Polya tree extensions of parametric models.
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Kajian Teori Regresi Parametrik Normal dan Regresi Non Parametrik (Theory Presentation of Normal Parametric Regression and Nonparametric Regression)
Posted by dhin pada 27 April 2009
Kajian Teori Regresi Parametrik Normal dan Regresi Non Parametrik
(Theory Presentation of Normal Parametric Regression and
Nonparametric Regression)
Yulia, S1, IM Tirta2 dan Rita Ratih T2
1Mahasiswa Jurusan Matematika FMIPA Universitas Jember
2Staf Pengajar Jurusan Matematika FMIPA Universitas Jember
ABSTRAK
In this paper, observation of the analysis normal parametric regression by least square method and non parametric regression by Theil method. Tulisan ini mempelajari atau mengkaji analisis regresi parametrik dengan menggunakan metode kuadarat terkecil dan Regresi Non parametrik dengan menggunakan metode Theil. Hasil kajian teoritis diilustrasikan dengan menggunakan data simulasi. Hasil analisis menunjukkan bahwa untuk data yang diketahui bentuk distribusinya, uji parametrik dengan menggunakan metode kudarta terkecil memberikan hasil yang sedikit lebih baik daripada uji non parametrik dengan metode theil.
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