Distance Sampling in R

Distance Sampling

Distance graphs in R

Analogously, we may define a diameter graph on the sphere S r of radius r. We think of the sphere being embedded in R, and the (unit) distance is induced from the ambient space. Diameter graphs are closely related to the famous Borsuk problem. In 1933 Borsuk [1] asked, whether any set of diameter 1 in R can be partitioned into (d+ 1) parts of strictly smaller diameter. The positive answer to th...

Distance sampling analysis in unmarked

Distance sampling is a wildlife sampling technique used to estimate population size or density. Describing how density varies spatially is often of equal interest; however, conventional methods of analysis do not allow for explicit modeling of both density and detection probability. The function distsamp implements the multinomial-Poisson mixture model of Royle et al. (2004), which was develope...

Statistical Efficiency in Distance Sampling

Distance sampling is a technique for estimating the abundance of animals or other objects in a region, allowing for imperfect detection. This paper evaluates the statistical efficiency of the method when its assumptions are met, both theoretically and by simulation. The theoretical component of the paper is a derivation of the asymptotic variance penalty for the distance sampling estimator aris...

Performance of CCC-r control chart with variable sampling intervals

The CCC-r chart is developed based on cumulative count of a conforming (CCC) control chart that considers the cumulative number of items inspected until observing r nonconforming ones. Typically, the samples obtained from the process are analyzed through 100% inspection to exploit the CCC-r chart. However, considering the inspection cost and time would limit its implementation. In this paper, w...