By Subhash R. Lele,Joan T. Richtsmeier
An Invariant method of the Statistical research of Shapes effects from an extended and fruitful collaboration among a mathematical statistician and a biologist. jointly they've got constructed a strategy that addresses the significance of medical relevance, organic variability, and invariance of the statistical and medical inferences with admire to the arbitrary number of the coordinate approach. They current the heritage and foundations of morphometrics, talk about many of the sorts of info utilized in the research of shape, and supply justification for selecting landmark coordinates as a popular facts variety. They describe the statistical versions used to symbolize intra-population variability of landmark information and express that arbitrary translation, rotation, and mirrored image of the items introduce infinitely many nuisance parameters. the main basic a part of morphometrics-comparison of forms-receives in-depth remedy, as does the research of development and development styles, type, clustering, and asymmetry.
Morphometrics has only in the near past all started to think about the invariance precept and its implications for the learn of organic shape. With the benefit of twin views, An Invariant method of the Statistical research of Shapes stands as a distinct and demanding paintings that brings a decade's worthy of leading edge tools, observations, and insights to an viewers of either statisticians and biologists.
Read or Download An Invariant Approach to Statistical Analysis of Shapes (Chapman & Hall/CRC Interdisciplinary Statistics) PDF
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Additional resources for An Invariant Approach to Statistical Analysis of Shapes (Chapman & Hall/CRC Interdisciplinary Statistics)
An Invariant Approach to Statistical Analysis of Shapes (Chapman & Hall/CRC Interdisciplinary Statistics) by Subhash R. Lele,Joan T. Richtsmeier