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• W2260533025 abstract "Distance sampling has been referred to as a hybrid approach because it typically includes a design-based component, which deals with encounter rate, and a model-based component, which deals with detection probability. For populations occurring in clusters or groups, the group size estimation can be based on design (in the absence of size bias) or on a model (e.g. size-bias regression or multiple-covariate distance sampling with group size as a covariate). A model can be thought of as a set of assumptions. If we do not have all the data that we would like, we may need to make additional assumptions. As an example, if we are estimating the abundance of chimpanzees using an indirect method via nest surveys, in the absence of a local estimate of nest decay rate, we might assume that the decay rate for another place and time is valid for the current survey. This trade-off between data and assumptions can also be used in the opposite direction. If we have additional data above and beyond that required for conventional distance sampling (CDS) methods, this might allow us to relax our assumptions." @default.
• W2260533025 created "2016-06-24" @default.
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• W2260533025 date "2015-01-01" @default.
• W2260533025 modified "2023-09-23" @default.
• W2260533025 title "Exchanging Assumptions for Data" @default.
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• W2260533025 doi "https://doi.org/10.1007/978-3-319-19219-2_11" @default.
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