Search results
Results from the WOW.Com Content Network
Distance sampling is a widely used group of closely related methods for estimating the density and/or abundance of populations. ... Statistics; Cookie statement ...
In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.
Abundance estimation comprises all statistical methods for estimating the number of individuals in a population. In ecology, this may be anything from estimating the number of daisies in a field to estimating the number of blue whales in the ocean. [1]
Sampling (statistics) Simple random sampling; ... Cluster sampling; distance sampling; Multistage sampling; Nonprobability sampling ... Sequential Monte Carlo methods ...
In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as the bootstrap.
Inverse distance weighting (IDW) is a type of deterministic method for multivariate interpolation with a known scattered set of points. The assigned values to unknown points are calculated with a weighted average of the values available at the known points.
He is one of the developers of distance sampling methods, and is first author on four books on the subject. Buckland was editor of the Journal of Agricultural, Biological and Environmental Statistics [10] from 2016–2018.
A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole ...