CHARACTERISTICS OF THE MOMENT GENERATING FUNCTION OF GENERALIZED GAMMA DISTRIBUTION

Ali, DINDA MEISILIA (2013) CHARACTERISTICS OF THE MOMENT GENERATING FUNCTION OF GENERALIZED GAMMA DISTRIBUTION. Fakultas MIPA, Universitas Lampung.

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Abstrak (Berisi Bastraknya saja, Judul dan Nama Tidak Boleh di Masukan)

In this paper, some characteristics of Generalized Gamma distribution and Gamma distribution as a special case of the generalized Gamma distribution are described. Generalized Gamma distribution (GG( )) is a continuous probability distribution with three parameters. GG distribution and Gamma distribution has the same domain for a non-negative x. In addition to the parameters and the domain, GG distribution has some characteristics such as probability density function, expected value, variance, and moment generating function. In the approximated GG distribution to the Gamma distribution through the moment generating function, used the Maclaurin series. This paper also presents a graph of the probability density function of GG disrtribution and Gamma distribution separately, for each of its parameters. In graphing, used the R version 3.0.1 program. Keywords: Gamma Distribution, Generalized Gamma Distribution, Maclaurin Series, Moment Generating Function.

Jenis Karya Akhir: Skripsi
Subyek: > Q Science (General)
> QA Mathematics
Program Studi: FAKULTAS MIPA > Prodi Matematika
Pengguna Deposit: UPT Perpustakaan Unila
Date Deposited: 24 Feb 2014 06:19
Terakhir diubah: 24 Feb 2014 06:19
URI: http://digilib.unila.ac.id/id/eprint/1229

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