Indonesian Journal of Statistics and Its Applications
Vol 2 No 1 (2018)

POISSON REGRESSION OF DAMAGE PRODUCT SALES USING MCMC

Reny Rian Marliana (STMIK Sumedang)
Septiadi Padmadisastra (Department of Statistics, Padjadjaran University, Indonesia)

Article Info

Publish Date
30 Apr 2018

Abstract

In this paper a model for the number of “damage” product sales is studied. The product sales are run into underreporting counts, caused by a delay on input process of the system called sales cycle. The goal of the study is to estimate the parameters of the regression model of product sales on an explanatory variable. It is the actual number of product sales. The model used is a mixture of the Poisson and the Binomial distributions. The parameters of the regression model are estimated by a Bayesian approach and Markov Chain Monte Carlo simulation using Gibbs sampling algorithm. The results of estimation clearly showed a gap between undamage product sales and the actual number. The gap is the number of damaged product sales.

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Journal Info
Indonesian Journal of Statistics and Its Applications
Website

Abbrev

ijsa

Publisher

Institut Pertanian Bogor

Subject

Computer Science & IT Mathematics Other

Description

Indonesian Journal of Statistics and Its Applications (eISSN:2599-0802): diterbitkan berkala 2 (dua) kali dalam setahun yang memuat tulisan ilmiah yang berhubungan dengan bidang statistika dan aplikasinya. Artikel yang dimuat berupa hasil penelitian bidang statistika dan aplikasinya dengan topik ...