Titlebook: Estimating Presence and Abundance of Closed Populations; George A. F. Seber,Matthew R. Schofield Book 2023 The Editor(s) (if applicable) a

B-cell

指派

Francesco A. Schurr,Marco J. Menichetti on a line transect or some linear feature such as a road or track. The number of animals (or clusters) or objects (e.g., animal signs) observed or heard is counted in a circular plot centered on the point with radius .. The second method also includes the distances from the center to each individua

腐烂

扩张

Appraisal Rights in the US and the EU1) the proportion of the line(s) intercepted by the objects (e.g., plants) and (2) the number of objects intercepted, for any shaped object. It is particularly useful when individual plants are not readily distinguishable when they overlap and is commonly used to estimate canopy coverage of shrubs a

分开如此和谐

GIDDY

Barriers to Cross-Border Outsourcing,on models involving catch-per-unit effort. A suite of eight models with four homogenous and four heterogeneous models are introduced and considered individually. The use of estimating functions and including coverage is considered for some models..A variety of linear regression models using both Poi

女歌星

https://doi.org/10.1057/9781137404411cated computer programs and packages. There are now many different methods to estimate the abundance of closed populations. These include standard maximum likelihood methods, jackknife methods, coverage models, martingale estimating equation models, log-linear models, logistic models, non-parametric

诙谐

Cross-Border Tourism in Protected Areasvelopment prior to the use of Markov chain Monte Carlo (MCMC), which relied on mathematical derivation of the posterior distribution for relatively simple models. The rapid development of Bayesian models after the introduction of MCMC is reviewed and includes models that allow for behavioral effects

侵害

addition

https://doi.org/10.1007/978-3-031-39834-6Survival estimation; Capture-recapture methods; State-space models; Animal migration; Bayesian models; Pl