Morphometric Tools for Landmark Data: Geometry and Biology

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9780511573064: Morphometric Tools for Landmark Data: Geometry and Biology

This book is the first systematic survey of morphometric methods for landmark data. It combines conventional multivariate statistical analysis with themes from plane and solid geometry and from biomathematics to support biological insights into the features of many different organs and organisms.

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Críticas:

"...will certainly be a landmark volume in this difficult but important field of shape analysis." K.V. Mardia, International Statisical Institute Short Book Reviews

"The new geometric morphometry, as epitomized in Bookstein's text, is a fully rounded scientific achievement. I recommend this well-written book to all biometricians concerned with the analysis of shape." R.A. Reyment, Biometrics

"...specialists working in this field may find the book to be a useful collation of methods for the study of shape." Shumei Guo, Journal of the American Statistical Association

"...a serious and wide-ranging effort to systematize morphometrics...Bookstein has done an admirable job in bringing together the tools needed to reach this goal and, consequently, in building his case about the importance of landmarks in morphometrics...will clearly be important in morphometrics for some time." Scott Ferson, The Quarterly Review of Biology

"...this is essential reading for quantitative morphologists." Miriam Zelditch, BioScience

"Bookstein, through his strong personality and energy, has made the field of morphometrics very visible and has particulary made statisticians aware of the potential of the field for both statistical as well as scientific research...I would like to praise the author for making statisticians aware of the important field of morphometrics and for 'making us think'." Subhash Lele, Journal of the American Statistical Association

Reseña del editor:

Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points such as 'the bridge of the nose' that have biological names as well as geometric locations. This book is the first systematic survey of morphometric methods for landmark data. The methods presented here combine conventional multivariate statistical analysis with themes from plane and solid geometry and from biomathematics to support biological insights into the features of many different organs and organisms. This book will be of value to applied statisticians and geometers, as well as to all biological and biomedical researchers who need quantitative analyses of information from biomedical images.

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