APPROXIMATING VARIANCE OF DEMOGRAPHIC PARAMETERS USING THE DELTA METHOD: A REFERENCE FOR AVIAN BIOLOGISTS

By L. Powell. 2007

467 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Detecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework (2019, methodology): “mated sampling variance associated with − λt  using the delta method (Powell, 2007) based on 25 non-parametric bootstraps of the occupancy model fitted in package unmarked.”
Declining old‐forest species as a legacy of large trees lost (2018, methodology): “We calculated variance for ̂̄λ and ∆k using the delta method (Powell, 2007).”
Predator control allows critically endangered lizards to recover on mainland New Zealand. (2012, methodology): “The delta method (Seber 1982; Powell 2007) was used to determine the appropriate variances for estimated quantities when moving between the real and log scale.”
High juvenile mortality during migration in a declining population of a long-distance migratory raptor (2015, methodology): “Annual survival was estimated by multiplying the respective monthly survival estimates over the first and second year of life (Powell 2007).”
The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded (2016, unknown): “9 The delta method for variance approximation uses a first order Taylor series expansion, which is 153 often employed to approximate the standard error (error variance) for transformations (or functions) 154 of a variable x when the (error) variance of x itself is known (see [18]; for an accessible ”