作者: J. Andrew Royle , Chris Sutherland , Angela K. Fuller , Catherine C. Sun
DOI: 10.1890/ES14-00148.1
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摘要: We develop a likelihood analysis framework for fitting spatial capture-recapture (SCR) models to data collected on class structured or stratified populations. Our interest is motivated by the necessity of accommodating problem missing observations individual membership. This particularly problematic in SCR arising from DNA scat, hair other material, which frequently yields identity but fails identify sex. Moreover, this can represent large fraction and, given typically small sample sizes many studies based information, utilization with sex information necessary. case covariate values, and then we address scaling so that without parameters be formally compared regardless values. apply our model black bear New Yor...