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A goodness-of-fit test for zero-inflated Poisson mixed effects models in tree abundance studies
- Source :
- Computational Statistics & Data Analysis. 144:106887
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Field studies in ecology often make use of data collected in a hierarchical fashion, and may combine studies that vary in sampling design. For example, studies of tree recruitment after disturbance may use counts of individual seedlings from plots that vary in spatial arrangement and sampling density. To account for the multi-level design and the fact that more than a few plots usually yield no individuals, a mixed effects zero inflated Poisson model is often adopted. Although it is a convenient modeling strategy, various aspects of the model could be misspecified. A comprehensive test procedure, based on the cumulative sum of the residuals, is proposed. The test is proven to be consistent, and its convergence properties are established as well. The application of the proposed test is illustrated by a real data example and simulation studies.
- Subjects :
- Statistics and Probability
Applied Mathematics
05 social sciences
Random effects model
01 natural sciences
Article
Field (geography)
Test (assessment)
010104 statistics & probability
Computational Mathematics
Tree (data structure)
Computational Theory and Mathematics
Goodness of fit
0502 economics and business
Convergence (routing)
Sampling design
Statistics
Zero-inflated model
0101 mathematics
050205 econometrics
Mathematics
Subjects
Details
- ISSN :
- 01679473
- Volume :
- 144
- Database :
- OpenAIRE
- Journal :
- Computational Statistics & Data Analysis
- Accession number :
- edsair.doi.dedup.....a53f54278cd068949af1718ea3f388e5