MOMENT, CUMULANT, DAN CHARACTERISTIC FUNCTION DARI GENERALIZED EXPONENTIAL DISTRIBUTION

APIT NIRMALA, 1017031018 (2014) MOMENT, CUMULANT, DAN CHARACTERISTIC FUNCTION DARI GENERALIZED EXPONENTIAL DISTRIBUTION. FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, Unila.

[img]
Preview
Text
ABSTRACT.pdf

Download (60Kb) | Preview
[img]
Preview
Text
COVER DALAM.pdf

Download (28Kb) | Preview
[img]
Preview
Text
COVER LUAR.pdf

Download (22Kb) | Preview
[img]
Preview
Text
HALAMAN PERSETUJUAN.pdf

Download (285Kb) | Preview
[img]
Preview
Text
HALAMAN PENGESAHAN.pdf

Download (280Kb) | Preview
[img]
Preview
Text
PERNYATAAN.pdf

Download (293Kb) | Preview
[img]
Preview
Text
RIWAYAT HIDUP.pdf

Download (6Kb) | Preview
[img]
Preview
Text
MOTO.pdf

Download (36Kb) | Preview
[img]
Preview
Text
PERSEMBAHAN.pdf

Download (36Kb) | Preview
[img]
Preview
Text
SANWACANA.pdf

Download (102Kb) | Preview
[img]
Preview
Text
DAFTAR ISI.pdf

Download (13Kb) | Preview
[img]
Preview
Text
DAFTAR GAMBAR.pdf

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

Download (125Kb) | Preview
[img]
Preview
Text
BAB II.pdf

Download (624Kb) | Preview
[img]
Preview
Text
BAB III.pdf

Download (125Kb) | Preview
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (2162Kb)
[img]
Preview
Text
BAB V.pdf

Download (336Kb) | Preview
[img]
Preview
Text
DAFTAR PUSTAKA.pdf

Download (48Kb) | Preview

Abstrak

The generalized exponential distribution (GED) proposed by Gupta and Kundu (1999) is an important lifetime distribution in survival analysis. Generalized Exponential Distribution is defined as a particular case of Gompertz-Velhust distribution function when ρ=1. It has two parameters, α as a shape parameter and λ as a scale parameter. Actually, it can be a regular exponential distribution if the value of the shape parameter equals to one. Generalized Exponential Distribution is a distribution that also has the characteristics of the population. In this study discuss about characteristics of generalized exponential distribution (GED) especially moment, cumulants, and characteristic function. The moments and cumulant generating function of generalized exponential distribution (GED) can be obtained using moment generating function. Subsequently, by using cumulant generating function, we can get cumulants which can be used to find skewness and kurtosis. Furthermore, we obtained characteristic function by using probability density function and proof that the norm of characteristic function is equals to one. It was show that generalized exponential distribution (GED) is monotone function. Finally, to show it is either increasing monotonic or decreasing monotonic function, the probability density function (PDF), skewness and kurtosis were simulated by using mathlab. Keyword: Generalized Exponential Distribution, Moment, Cumulant, and Characteristic Function.

Tipe Karya Ilmiah: Skripsi
Subyek: A General Works = Karya Karya Umum
Program Studi: Fakultas MIPA > Prodi Matematika
Depositing User: 222547 . Digilib
Date Deposited: 20 Oct 2014 07:19
Last Modified: 20 Oct 2014 07:19
URI: http://digilib.unila.ac.id/id/eprint/4212

Actions (login required)

View Item View Item