2005
DOI: 10.1002/0470012234
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Analyzing Environmental Data

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Cited by 110 publications
(106 citation statements)
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“…These capture-recapture methods are strongly connected to the estimation of population totals through sampling of finite populations [18] where S individuals are characterized by some weights yi from which it is possible to define the population total τ := S i=1 yi. A classical estimation approach within this framework is then to select k individuals from the whole set under the assumption that the selection probabilities are pi, and then use the so-called Hansen-Hurwitz estimator [19] …”
Section: A Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…These capture-recapture methods are strongly connected to the estimation of population totals through sampling of finite populations [18] where S individuals are characterized by some weights yi from which it is possible to define the population total τ := S i=1 yi. A classical estimation approach within this framework is then to select k individuals from the whole set under the assumption that the selection probabilities are pi, and then use the so-called Hansen-Hurwitz estimator [19] …”
Section: A Literature Reviewmentioning
confidence: 99%
“…Without assumption 10, this map is defined over the positive rational numbers in [0, 1], i.e., f ave ∈ Q+ ∩ [0, 1]. Under assumption 10, S is defined over the set FS max defined in (19).…”
Section: B Bernoulli Trials: M =mentioning
confidence: 99%
“…It should be noted that in the case of the linear model the derivatives are not functions of the β's (Piegorsch & Bailer 2005). The nonlinear regression model should be used when a curvilinear relationship exists between the mean response and a predictor variable.…”
Section: Methodsmentioning
confidence: 99%
“…Table 1 shows the best selected models for all yarding systems. All of the models resulted in polynomial fits (Quadratic,3 rd and 4 th degree equations), except for Cable (precipitation and runoff) and Animal (precipitation and runoff) the best fit resulted for the Morgan Mercer Flodin model (MMF model), which is a flexible sigmoid used to describe growth processes or other processes with non linear structure (Piegorsch and Bailer 2005). Higher correlation coefficients were for Cable yarding for both correlations: precipitation and sediment production and precipitation and runoff volume (0.91 and 0.87, respectively).…”
Section: Overall Comparison Of Runoff and Sediment Yield Among Treatmmentioning
confidence: 99%