ANALISIS BOOTSTRAP PADA MODEL REGRESI

Amry, Zul (2007) ANALISIS BOOTSTRAP PADA MODEL REGRESI. Jurnal Sains Indonesia, 31 (02). pp. 51-54. ISSN 0853-3792

[img] Text
Fulltext.pdf - Published Version

Download (0B)
[img] Text
Reviewer.pdf - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_lightbox)
lightbox.jpg - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_preview)
preview.jpg - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_medium)
medium.jpg - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_small)
small.jpg - Published Version

Download (0B)
[img] Other (Generate index codes conversion from text to indexcodes)
indexcodes.txt - Published Version

Download (0B)
[img] Other (Generate index codes conversion from text to indexcodes)
indexcodes.txt - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_lightbox)
lightbox.jpg - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_preview)
preview.jpg - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_medium)
medium.jpg - Published Version

Download (0B)
[img] Other (Thumbnails conversion from text to thumbnail_small)
small.jpg - Published Version

Download (0B)

Abstract

Thc bootstrap analysis to represnt of statistical analysis zoith way resampling towards the original data in endeaaour obtain the best of estimator or approximation of distribution. In this paper will be refered thr best approximation of normal distribution for √n(Ḃ- β) with bootsrap analysis. The methods to plan a program of computer simulation to compare between the approximation of distribution for √n(Ḃ- β) where β is parameter of population, β is least square estimator and β is bootstrap estimator toward a normal distribution according simulation.

Item Type: Article
Keywords: Bootstrap approximation; Normal distribution; Regression model
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA299 Analysis
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Matematika
Depositing User: Mrs Harly Christy Siagian
Date Deposited: 14 Oct 2016 09:29
URI: http://digilib.unimed.ac.id/id/eprint/20460

Actions (login required)

View Item View Item