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 built a technique that addresses the significance of medical relevance, organic variability, and invariance of the statistical and medical inferences with admire to the arbitrary collection of the coordinate process. They current the background and foundations of morphometrics, talk about many of the types of information utilized in the research of shape, and supply justification for selecting landmark coordinates as a well-liked information style. They describe the statistical types used to symbolize intra-population variability of landmark info and exhibit 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 examine of development and progress styles, type, clustering, and asymmetry.
Morphometrics has only in the near past began to contemplate the invariance precept and its implications for the examine of organic shape. With the benefit of twin views, An Invariant method of the Statistical research of Shapes stands as a different and significant paintings that brings a decade's worthy of leading edge equipment, 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