CHINESE JOURNAL OF APPLIED PROBABILITY AND STATIST 2009, 25(6) 659-671 DOI:      ISSN: 1001-4268 CN: 31-1256

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Keywords
Zero-inflated data
EM algorithm
random effect models
statistical diagnostics
score test
dispersion parameter
longitudinal data.
Authors
Xie Fengchang
Wei Bocheng
Lin Jinguan
PubMed
Article by
Article by
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Summary of Statistical Analysis for Zero-Inflated Data

Xie Fengchang,Wei Bocheng,Lin Jinguan

Department of Mathematics,Southest University,Department of Mathematics,Nanjing Agricultural University

Abstract��

ZI (zero-inflated) data are data with overmuch zeroes.
The ZI data have been commonly encountered in a wide variation of
disciplines, and have been a hot topic since last decade. In this
paper, we first present the actual significance of ZI data via two
examples. Then we demonstrate the general situation and latest
improvement of statistical analysis for zero-inflated data.
Additionally, zero-inflated models, zero-inflated mixed models, and
the estimation methods and some diagnostic problems are surveyed
systematically. The relevant work done by authors in recent years
are also introduced. Finally, several potential topics to be studied
are listed.

Keywords�� Zero-inflated data   EM algorithm   random effect models   statistical diagnostics   score test   dispersion parameter   longitudinal data.  
Received 1900-01-01 Revised 1900-01-01 Online:  
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Corresponding Authors: Xie Fengchang
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