Modelling skewed data with many zeros: A simple approach combining ordinary and logistic regression

By David J. Fletcher, D. MacKenzie, E. Villouta. Environmental and Ecological Statistics, 2005

309 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.

Bycatch of the European purse seine tuna fishery in the Atlantic Ocean for the 2003-2007 period (2010, unknown): “Indeed, the true stochastic processes that generate the data are generally unknown and specific modeling approaches based on mixture distributions (Perkins and Edwards 1996; Fletcher et al. 2005; Minami et al. 2007) should be used at the species level or trophic group level.”
Effect of agricultural policy on succession decisions of farm households (2008, background): “Study by Fletcher et al. (2005) among others; have addressed the problems of skewed data with many zeros in logistic regressions.”
Genome sequence-based species delimitation with confidence intervals and improved distance functions (2013, methodology): “58–79) and distinct data transformations [21,22] has frequently been recommended.”