A course in morphometrics for biologists: geometry and statistics for studies of organismal form
This book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis,...
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Format: | eBook |
Language: | English |
Published: |
Cambridge
Cambridge University Press
2018
|
Links: | https://doi.org/10.1017/9781108120418 |
Summary: | This book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis, and principal components analysis, before applying these techniques to an increasingly common data resource: the description of organismal forms by sets of landmark point configurations. For each data set, multiple analyses are interpreted and compared for insight into the relation between the arithmetic of the measurements and the rhetoric of the subsequent biological explanations. The text includes examples that range broadly over growth, evolution, and disease. For graduate students and researchers alike, this book offers a unique consideration of the scientific context surrounding the analysis of form in today's biosciences. |
Physical Description: | 1 Online-Ressource (xvii, 527 Seiten) |
ISBN: | 9781108120418 |
Staff View
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illustrated | Not Illustrated |
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spelling | Bookstein, Fred L. 1947- A course in morphometrics for biologists geometry and statistics for studies of organismal form Fred L. Bookstein Cambridge Cambridge University Press 2018 1 Online-Ressource (xvii, 527 Seiten) txt c cr This book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis, and principal components analysis, before applying these techniques to an increasingly common data resource: the description of organismal forms by sets of landmark point configurations. For each data set, multiple analyses are interpreted and compared for insight into the relation between the arithmetic of the measurements and the rhetoric of the subsequent biological explanations. The text includes examples that range broadly over growth, evolution, and disease. For graduate students and researchers alike, this book offers a unique consideration of the scientific context surrounding the analysis of form in today's biosciences. Erscheint auch als Druck-Ausgabe 9781107190948 |
spellingShingle | Bookstein, Fred L. 1947- A course in morphometrics for biologists geometry and statistics for studies of organismal form |
title | A course in morphometrics for biologists geometry and statistics for studies of organismal form |
title_auth | A course in morphometrics for biologists geometry and statistics for studies of organismal form |
title_exact_search | A course in morphometrics for biologists geometry and statistics for studies of organismal form |
title_full | A course in morphometrics for biologists geometry and statistics for studies of organismal form Fred L. Bookstein |
title_fullStr | A course in morphometrics for biologists geometry and statistics for studies of organismal form Fred L. Bookstein |
title_full_unstemmed | A course in morphometrics for biologists geometry and statistics for studies of organismal form Fred L. Bookstein |
title_short | A course in morphometrics for biologists |
title_sort | course in morphometrics for biologists geometry and statistics for studies of organismal form |
title_sub | geometry and statistics for studies of organismal form |
work_keys_str_mv | AT booksteinfredl acourseinmorphometricsforbiologistsgeometryandstatisticsforstudiesoforganismalform AT booksteinfredl courseinmorphometricsforbiologistsgeometryandstatisticsforstudiesoforganismalform |