Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data
Author:
Affiliation:
1. Institute of Statistics, National Chung Hsing University
2. Department of Mathematics and Statistics, University of Otago
3. Institute of Statistics, National Tsing Hua University
Publisher
Institute of Mathematical Statistics
Reference49 articles.
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3. R CORE TEAM (2022). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
4. BARKER, R. J., SCHOFIELD, M. R., LINK, W. A. and SAUER, J. R. (2018). On the reliability of N-mixture models for count data. Biometrics 74 369–377.
5. BROWN, D. D., LAPOINT, S., KAYS, R., HEIDRICH, W., KÜMMETH, F. and WIKELSKI, M. (2012). Accelerometer-informed GPS telemetry: Reducing the trade-off between resolution and longevity. Wildl. Soc. Bull. 36 139–146.
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