Testing for an excessive number of zeros in time series of bounded counts

DOI10.1007/s10260-018-00431-zzbMath1427.62098OpenAlexW2809833453WikidataQ129575711 ScholiaQ129575711MaRDI QIDQ2324282

Christian H. Weiß, Tobias A. Möller, Hee-Young Kim

Publication date: 11 September 2019

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-018-00431-z

zbMATH Keywords

extra-binomial dispersionbinomial AR(1) modeladjusted sample sizebinomial index of dispersionbinomial zero indexextra-binomial zeros

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Applications of statistics to social sciences (62P25)

Related Items (2)

Analysis of zero-and-one inflated bounded count time series with applications to climate and crime data ⋮ Statistical inference for the covariates-driven binomial AR(1) process

Cites Work

• Discrete analogues of self-decomposability and stability
• Species occupancy estimation and imperfect detection: shall surveys continue after the first detection?
• Modeling zero inflation in count data time series with bounded support
• Statistics in theory and practice. With applications in R
• Testing for zero inflation and overdispersion in INAR(1) models
• The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research
• An Introduction to Discrete‐Valued Time Series
• Zero-Inflated Spatial Models: Application and Interpretation
• Chain Binomial Models and Binomial Autoregressive Processes
• State-space models for count time series with excess zeros
• Binomial AR(1) processes: moments, cumulants, and estimation
• Count Data Distributions
• Unnamed Item

This page was built for publication: Testing for an excessive number of zeros in time series of bounded counts