Skip to content
akaturk Academic measurement

Article detail · 2023

A new zero-inflated discrete Lindley regression model

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

YÖKSİS OpenAlex SJR Q3 JCR Q4 Citations 5 Percentile 74.1% FWCI 0.65
Year
2023
ISSN
0361-0926
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

English (OpenAlex)

Recently, providing a new count regression model is very popular for many researchers. These count regression models are constructed by using a new discrete distribution or one of the existing distributions in the literature. In this paper, we consider a new zero-inflated regression model as an alternative to the zero-inflated regression models. We present two real data applications to illustrate the usefulness of the suggested regression model in modeling data, and compare the competitor models such as Poisson, discrete Lindley, and zero-inflated regression models. We provide a new count regression model which is useful in modeling overdispersed data.

Topics

  • Bayesian Methods and Mixture Models
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications

Primary topic Bayesian Methods and Mixture Models

Authors

  1. CANER TANIŞ
  2. HAYDAR KOÇ
  3. AHMET PEKGÖR NECMETTİN ERBAKAN ÜNİVERSİTESİ