Distribusi Rayleigh Bivariat dan Sifat-sifatnya.

Wulan Jati Nuraya, Aceng Komarudin Mutaqin

Abstract


Abstract. The Rayleigh distribution has received special respect due to the attention of many researchers because of its close relationship with important distributions which are useful in analyzing lifetime applications. The bivariate Rayleigh distribution is constructed with the univariate Rayleigh distribution as marginal. Many various methods are used to estimate the unknown parameters of the proposed distribution. The Rayleigh distribution can be derived from a bivariate normal distribution when the independent and random variables have the same variance. Rayleigh Bivariate distribution, which is well known in the field of statistical communication theory with wind wave problems, the purpose of this simulation study is about the time data carried out to study the effectiveness of the proposed bivariate Rayleigh distribution in a real application data which is analyzed for illustration purposes.

Keywords: bivariate Rayleigh distribution.

Abstrak. Distribusi Rayleigh telah menerima penghargaan khusus karena perhatian dari banyak peneliti sebab hubungannya yang erat dengan distribusi penting yang membuatnya berguna dalam menganalisis aplikasi seumur hidup. Distribusi Rayleigh bivariat adalah dibangun dengan distribusi Rayleigh univariat sebagai marjinal. Banyak berbagai metode yang digunakan untuk memperkirakan parameter yang tidak diketahui dari distribusi yang diusulkan. Distribusi Rayleigh dapat diturunkan dari distribusi normal bivariat ketika variabel independen dan acak dengan varian yang sama. distribusi Rayleigh Bivariat, yang dikenal di bidang teori komunikasi statistic dengan masalah gelombang angin, Namun tujuan studi simulasi ini adalah tentang data waktu sepakbola yang dilakukan untuk mempelajari efektivitas distribusi Rayleigh bivariat yang diusulkan dalam suatu data nyata aplikasi yang dianalisis untuk tujuan ilustrasi.

Kata Kunci: Distribusi Rayleigh bivariat.


Keywords


Distribusi Rayleigh bivariat

Full Text:

PDF

References


Akhter S A dan Hirai S A. (2007). Bivariate Rayleigh Distribution and its Properties. Institute of Statistics University of the Punjab Q.A. Campus, Lahore

Bahari, F., Safari & Motjaba. (2020). Reliability of soccer player based on the bivariate Rayleigh distribution with right censored and ignorabble missing data. Journal of Applied Statistic, 48(2), 1-15

Baharith dan M. K. ABD Elaal. (2017). Bivariate Rayleigh with application. International Journal of Electronics Communication and Computer Engineering.

Battjes, J A. (1969). Facts And Figures Pertaining To The Bivariate Rayleigh Distribution. Dept. of Civil Engineering Delft University of Technology ,The Netherlands.

Bedar, E Radwan. (2017). Parameter Estimation of The Bivariate Weibull Distribution by EM Algorithma Based on Censored Samples. Asian Journal of Applied Sciences, Volume 05 issue 06.

Dina H. dan Abdel-Hady (2013). Bivariate Generalized Rayleigh Distribution. Journal of Applied Sciences Research.

Jafari, A., Pak A., dan Khoolenjani B.N. (2014). Inference on P(Y < X) in Bivariate Rayleigh Distribution. journal Mathematic.

Rahmadani Riani Shifa, Suliadi. (2021). Faktor Koreksi Diagram Kendali Shewhart pada Situasi Unconditional ARL dan Penerapannya terhadap Data Brix (Kekentalan) Saus. Jurnal Riset Statistika, 1(1), 28-34.




DOI: http://dx.doi.org/10.29313/.v0i0.30487

Flag Counter