MEMBANDINGKAN KETAKBIASAN BEBERAPA UKURAN BOOTSTRAP SAMPLES DALAM SEMPLS MENGGUNAKAN PROGRAM R

JORDIAN GEVARA , 1117031030 (2015) MEMBANDINGKAN KETAKBIASAN BEBERAPA UKURAN BOOTSTRAP SAMPLES DALAM SEMPLS MENGGUNAKAN PROGRAM R. FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG.

[img]
Preview
Text
ABSTRACT.pdf

Download (4Kb) | Preview
[img]
Preview
Text
COVER DALAM.pdf

Download (15Kb) | Preview
[img]
Preview
Text
COVER LUAR.pdf

Download (21Kb) | Preview
[img]
Preview
Text
DAFTAR ISI.pdf

Download (22Kb) | Preview
[img]
Preview
Text
DAFTAR GAMBAR.pdf

Download (97Kb) | Preview
[img]
Preview
Text
DAFTAR TABEL.pdf

Download (62Kb) | Preview
[img]
Preview
Text
MOTO.pdf

Download (90Kb) | Preview
[img]
Preview
Text
PENGESAHAN.pdf

Download (140Kb) | Preview
[img]
Preview
Text
PERNYATAAN.pdf

Download (89Kb) | Preview
[img]
Preview
Text
PERSEMBAHAN.pdf

Download (35Kb) | Preview
[img]
Preview
Text
RIWAYAT HIDUP.pdf

Download (4Kb) | Preview
[img]
Preview
Text
PERSETUJUAN.pdf

Download (290Kb) | Preview
[img]
Preview
Text
SANWACANA.pdf

Download (104Kb) | Preview
[img]
Preview
Text
BAB I.pdf

Download (54Kb) | Preview
[img]
Preview
Text
BAB II.pdf

Download (455Kb) | Preview
[img]
Preview
Text
BAB III.pdf

Download (51Kb) | Preview
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (629Kb)
[img]
Preview
Text
BAB V.pdf

Download (4Kb) | Preview
[img]
Preview
Text
DAFTAR PUSTAKA.pdf

Download (50Kb) | Preview

Abstrak

ABSTRACT The purpose of this research is to compare the unbiased rate of some bootstrap samples and estimate the model in SEMPLS. The SEMPLS package was used to specify the model with mobile phone dataset from marketing research. Model parameterswere estimated by the SEMPLS function for sample sizes 250, 300, 350, 400, 450, and 500.Result shows thatbootstrap sample size 500 has the smallest residual compare to other sizes. Keywords :Structural Equation Modeling, Partial Least Square, Bootstrap.

Tipe Karya Ilmiah: Skripsi
Subyek: Q Science (General)
Program Studi: Fakultas MIPA > Prodi Matematika
Depositing User: 9996796 . Digilib
Date Deposited: 21 Jan 2016 08:08
Last Modified: 21 Jan 2016 08:08
URI: http://digilib.unila.ac.id/id/eprint/18780

Actions (login required)

View Item View Item