Analysis of interval‐grouped data in weed science: The binnednp Rcpp package
Sign Up to like & getrecommendations! Published in 2019 at "Ecology and Evolution"
DOI: 10.1002/ece3.5448
Abstract: Abstract Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). However, in many situations,… read more here.
Keywords: package; binnednp; weed science; interval grouped ... See more keywords
EM algorithm for mixture of skew-normal distributions fitted to grouped data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1759032
Abstract: Grouped data are frequently used in several fields of study. In this work, we use the expectation-maximization (EM) algorithm for fitting the skew-normal (SN) mixture model to the grouped data. Implementing the EM algorithm requires… read more here.
Keywords: mixture model; skew normal; algorithm mixture; mixture ... See more keywords
Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1494838
Abstract: Abstract Weibull mixture models are widely used in a variety of fields for modeling phenomena caused by heterogeneous sources. We focus on circumstances in which original observations are not available, and instead the data comes… read more here.
Keywords: likelihood ratio; bootstrap likelihood; weibull mixture; mixture models ... See more keywords