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 clinical inferences with admire to the arbitrary number of the coordinate procedure. They current the background and foundations of morphometrics, speak about a number of the types of info utilized in the research of shape, and supply justification for selecting landmark coordinates as a popular facts kind. They describe the statistical versions used to symbolize intra-population variability of landmark info and convey that arbitrary translation, rotation, and mirrored image of the gadgets 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 progress styles, category, clustering, and asymmetry.
Morphometrics has just recently started to think about the invariance precept and its implications for the research of organic shape. With the good thing about twin views, An Invariant method of the Statistical research of Shapes stands as a distinct and critical paintings that brings a decade's worthy of cutting edge equipment, observations, and insights to an viewers of either statisticians and biologists.
Read Online or Download An Invariant Approach to Statistical Analysis of Shapes (Chapman & Hall/CRC Interdisciplinary Statistics) PDF
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Extra 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