An Adaptive Kernel Smoothing Method for ClassifyingAustrosimulium tillyardianum(Diptera: Simuliidae) Larval Instars
Author:
Publisher
Oxford University Press (OUP)
Subject
Insect Science,General Medicine
Link
http://academic.oup.com/jinsectscience/article-pdf/15/1/159/7965817/iev136.pdf
Reference23 articles.
1. On Bandwidth Variation in Kernel Estimates-A Square Root Law
2. Classifying Instars of the Navel Orangeworm (Lepidoptera: Pyralidae) Based on Observed Head Capsule Widths
3. Numerical experiments on the accuracy of the Chebyshev–Frobenius companion matrix method for finding the zeros of a truncated series of Chebyshev polynomials
4. The Insects
5. Application of a frequency distribution method for determining instars of the beet armyworm (Lepidoptera: Noctuidae) from widths of cast head capsules;Chen;J. Econ. Entomol.,2013
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1. Instar Determination for the Tomato Leafminer Tuta absoluta (Lepidoptera: Gelechiidae) Using the Density-Based OPTICS Clustering Algorithm;Environmental Entomology;2022-09-06
2. Determination of Larval Instars of Semanotus bifasciatus (Coleoptera: Cerambycidae) Based on Frequency Distributions of Morphological Variables;Journal of Entomological Science;2020-07-27
3. Determining the number of instars in potato tuber mothPhthorimaea operculella(Zeller) using density‐based DBSCAN clustering;Journal of Applied Entomology;2019-09-20
4. An adaptive bivariate kernel smoothing method for determining instars of Austrosimulium tillyardianum (Diptera: Simuliidae) larvae;Ecological Entomology;2018-03-30
5. Determination of Instars of Bactrocera dorsalis (Diptera: Tephritidae);Florida Entomologist;2017-06
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