Melola Discovery

← Melola Discovery

Jurnal SINTA 3

SIFAT-SIFAT DAN KEJADIAN KHUSUS DISTRIBUSI GAMMA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 15 No. 1 (2021) · pp. 047–058

DOI
10.30598/barekengvol15iss1pp047-058
ISSN
2615-3017, 1978-7227
Published
2021-03-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

The gamma distribution is one of special continuous random variable distribution with scale parameter and shape parameter where is positive real numbers. On some conditions the gamma distribution astablishes other continuous distributions which are then called special cases of the gamma distribution. Therefore, this study was conducted to determine the properties of gamma distribution and the characteristics of the special cases of gamma distribution by analyzed the theories from literatures. The properties of gamma distribution include expectation value, variance, moment generating function, characteristic function, and estimation of gamma distribution parameters with the moment method to earn the special cases of the gamma distribution are Erlang, exponential, chi-square, and beta distributions.

Collaboration network of the authors

24 authors · 58 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Bandung Institute of Technology
  • Universitas Pembangunan Nasional Veteran Yogyakarta
  • Satya Wacana Christian University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Yopi Andry LesnussaAffiliation unknown3
Mozart Winston TalakuaAffiliation unknown2
Dorteus L. RahakbauwAffiliation unknown1
Jeky TetimelayAffiliation unknown1
Albertina RatuanakAffiliation unknown1
Jesica TentuaAffiliation unknown1
Charlitta FhilyaAffiliation unknown1
Mozart W. TalakuaAffiliation unknown1
Berny P. TomasouwAffiliation unknown1
Syella Z LimbaAffiliation unknown1
Berny Pebo TomasouwAffiliation unknown1
Udjianna Sekteria PasaribuBandung Institute of Technology1
Yuli Sri AfriantiAffiliation unknown1
Fadhil Hanif SulaimanAffiliation unknown1
Grace AngeliaAffiliation unknown1
Vynska Amalia PermadiUniversitas Pembangunan Nasional Veteran Yogyakarta1
Olumuyiwa James PeterAffiliation unknown1
Maria Engeline SahusilawaneAffiliation unknown1
Lazarus Kalvein BeayAffiliation unknown1
Mayowa Micheal OjoAffiliation unknown1
Adi SetiawanSatya Wacana Christian University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">SIFAT-SIFAT DAN KEJADIAN KHUSUS DISTRIBUSI GAMMA</dc:title>
	<dc:creator>Warella, Royke Yohanes</dc:creator>
	<dc:creator>Wattimanela, Henry Junus</dc:creator>
	<dc:creator>Ilwaru, Venn Yan Ishak</dc:creator>
	<dc:description xml:lang="en-US">The gamma distribution is one of special continuous random variable distribution with scale parameter &amp;nbsp;and shape parameter &amp;nbsp;where &amp;nbsp;is positive real numbers. On some conditions the gamma distribution astablishes other continuous distributions which are then called special cases of the gamma distribution. Therefore, this study was conducted to determine the properties of gamma distribution and the characteristics of the special cases of gamma distribution by analyzed the theories from literatures. The properties of gamma distribution include expectation value, variance, moment generating function, characteristic function, and estimation of gamma distribution parameters with the moment method to earn the special cases of the gamma distribution are Erlang, exponential, chi-square, and beta distributions.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2021-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/2555</dc:identifier>
	<dc:identifier>10.30598/barekengvol15iss1pp047-058</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 047-058</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol15iss1year2021</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/2555/2693</dc:relation>
</oai_dc:dc>