Suparti, Suparti and Sudargo, Sudargo (2006) *Estimasi Densitas Mulus dengan Metode Kernel (Kernel Method in Smooth Density Estimation).* Majalah Ilmiah Lontar, 20 (1). pp. 1-9. ISSN 0853-0041

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## Abstract

Let i = 1,2,…,n be independent observation data from a distribution with an unknown density function f . The function f could be estimated by parametric and nonparametric approach. In nonparametric approach, the function f is assumed to be a smooth function or quadratic integrable function, so the function f could be estimated by kernel estimator. The smoothing level of kernel estimator depends to the smoothing parameter. The big smoothing parameter gives a estimation function which over smooth and the contrary. Key words : smooth density, kernel estimator.

Item Type: | Article |
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Subjects: | Q Science > Q Science (General) |

Divisions: | Faculty of Science and Mathematics > Department of Statistics |

ID Code: | 3451 |

Deposited By: | INVALID USER |

Deposited On: | 13 Jan 2010 12:18 |

Last Modified: | 13 Jan 2010 12:18 |

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