[{
  "type": "article-journal",
  "title": "NONLINEAR REGRESSION APPLICATIONS IN MODELING OVER-DISPERSION OF BIRD POPULATIONS",
  "author": [
    {
      "family": "Çelik",
      "given": ""
    },
    {
      "family": "Durmuş",
      "given": ""
    }
  ],
  "issued": {
    "date-parts": [[2020]]
  },
  "container-title": "Journal of Animal and Plant Sciences",
  "ISSN": "1018-7081",
  "volume": "30",
  "issue": "2",
  "page": "345-354",
  "DOI": "https://doi.org/10.36899/JAPS.2020.2.0054",
  "abstract": "<p>The aim of this study was to statistically evaluate bird populations in Akdoğan Lakes by means of Poisson and negative binomial regression models. The over-dispersion value in Poisson regression was much higher than 1.0 (33.827). In contrast, the value of over-dispersion in the negative binomial regression was very close to 1.0 (1.598). Therefore, the parameter estimates were interpreted considering the negative binomial regression. When spring season was considered as a reference parameter, the change in population densities in other seasons was not statistically significant. The population changes in other habitats were not statistically significant, when reed area was considered as a reference parameter. The change in the population density of 13 ordo groups is non significant when the Anseriformes order was&nbsp; evaluated as reference parameter. The population change in the Gruiiformes population was 11.951 times higher compared with the change in reference parameter and the change was statistically significant (p &lt;0.01).<br>As a result, it is recommendable to use negative binomial regression with the scope of&nbsp; removing over-dispersion problem in the bird population modeling.</p>",
  "publisher": "Pakistan Agricultural Scientists Forum",
  "URL": "https://thejaps.org.pk/AbstractView.aspx?mid=ZLG-18-0029"
}]