Type I errors linked to faulty statistical analyses of endangered subspecies classifications

DOI10.1198/108571108X310771zbMath1306.62340OpenAlexW1989774634MaRDI QIDQ2259917

John W. Kern, Joshua J. Millspaugh, Lyman L. McDonald, John R. Skalski, Richard L. Townsend

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/108571108x310771

zbMATH Keywords

spatial statisticsdiscriminant analysismultivariate statisticscluster analysistaxonomyCalifornia gnatcatcher (polioptila californica)spline-regressionstepregressionsubspecies

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• spatial

Cites Work

• Distance-based parametric bootstrap tests for clustering of species ranges
• A nonparametric control chart for detecting small disorders
• Least squares estimation of linear splines with unknown knot locations
• The log likelihood ratio in segmented regression
• Tests of the Hypothesis that a Linear Regression System Obeys Two Separate Regimes
• Hierarchical grouping methods and stopping rules: an evaluation
• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
• Fitting Segmented Polynomial Regression Models Whose Join Points have to be Estimated
• A Test for a Shifting Slope Coefficient in a Linear Model
• Inference in Two-Phase Regression
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