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Morphometrics has only recently begun to consider the invariance principle and its implications for the study of biological forms. An Invariant Approach to the Statistical Analysis of Shapes develops a methodology that addresses the importance of scientific relevance, biological variability, and invariance of the statistical and scientific inferences with respect to the arbitrary choice of the coordinate system. With the advantage of the perspectives of both a mathematical statistician and a biologist, this book stands as a unique and important work that brings a decade's worth of innovative…mehr

Produktbeschreibung
Morphometrics has only recently begun to consider the invariance principle and its implications for the study of biological forms. An Invariant Approach to the Statistical Analysis of Shapes develops a methodology that addresses the importance of scientific relevance, biological variability, and invariance of the statistical and scientific inferences with respect to the arbitrary choice of the coordinate system. With the advantage of the perspectives of both a mathematical statistician and a biologist, this book stands as a unique and important work that brings a decade's worth of innovative methods, observations, and insights to audiences from both fields.


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Autorenporträt
Lele, Subhash R.; Richtsmeier, Joan T.