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Aggregation, Variance and the Mean
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This article is published in Nature.The article was published on 1961-03-01. It has received 2305 citations till now. The article focuses on the topics: Variance (accounting) & Taylor's law.read more
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Distance-based tests for homogeneity of multivariate dispersions.
TL;DR: In this paper, distance-based tests of homogeneity of multivariate dispersions, which can be based on any dissimilarity measure of choice, are proposed, relying on the rotational invariance of either the multivariate centroid or the spatial median to obtain measures of spread using principal coordinate axes.
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Multivariate dispersion as a measure of beta diversity.
TL;DR: For kelp holdfast assemblages from New Zealand, variation in species composition was greater in smaller holdfasts, while variation in relative abundances was great in larger holdasts, regardless of the measure used.
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Distance‐based multivariate analyses confound location and dispersion effects
TL;DR: In this paper, the authors consider what is being implicitly assumed about the mean-variance relationship in distance-based analyses and what the effect is of any misspecification of the mean -variances relationship.
(Academia Sinica,24(2):225-240)Two new methods for the study of insect population ecology
TL;DR: Using this new method, the growth process of insect and mite populations can be studied with proper stage grouping and a way to approach to the agroecosystem simulation was made.
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Assessing and Interpreting the Spatial Distributions of Insect Populations
TL;DR: Insects are especially suitable for investigation because of the large numbers of individuals and species, and interest in this characteristic of species is both applied and fundamental.
References
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The comparison of sheep-tick populations (Ixodes ricinus L.)
TL;DR: Experiments in sheep-tick control require the comparison of tick counts on sheep pastured on an infested grazing or on a blanket dragged over the grazing, with suggestions as to how this variation may be reduced.
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The transformation of local lesion counts for statistical analysis.
TL;DR: An analysis of the frequency distribution of local lesions, produced by viruses on half-leaves of a number of plants, shows that their standard error increases with increasing mean, hence analysis of variance and statistical tests of significance should not be applied to lesion numbers unless they are suitably transformed.
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The transformation of data from entomological field experiments so that the analysis of variance becomes applicable
TL;DR: In this paper, it was shown that the numbers of insects found per plot must vary in such a way that one cannot, strictly, subject the results to the analysis of variance, and it is proposed to find how the data may be transformed so that analysis for variance becomes applicable.