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Morphometric tools for landmark data: geometry and biology

โœ Scribed by Fred L Bookstein


Publisher
Cambridge University Press
Year
1997
Tongue
English
Leaves
457
Category
Library

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โœฆ Synopsis


This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced undergraduate students and is suitable for a course. It ranges from elementary statistics concepts (the theory behind MC simulations), through conventional Metropolis and heat bath algorithms, autocorrelations and the analysis of the performance of MC algorithms, to advanced topics including the multicanonical approach, cluster algorithms and parallel computing. Therefore, it is also of interest to researchers in the field. The book relates the theory directly to Web-based computer code. This allows readers to get quickly started with their own simulations and to verify many numerical examples easily. The present code is in Fortran 77, for which compilers are freely available. The principles taught are important for users of other programming languages, like C or C++


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Morphometric Tools for Landmark Data: Ge
โœ Fred L. Bookstein ๐Ÿ“‚ Library ๐Ÿ“… 1997 ๐Ÿ› Cambridge University Press ๐ŸŒ English

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.

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โœ Fred L. Bookstein ๐Ÿ“‚ Library ๐Ÿ“… 1997 ๐ŸŒ English

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.

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โœ Fred L Bookstein ๐Ÿ“‚ Library ๐Ÿ“… 1991 ๐Ÿ› Cambridge University Press ๐ŸŒ English

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

Geometric Morphometrics for Biologists
โœ Miriam L. Zelditch, Donald L. Swiderski, David H Sheets, William L. Fink ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Academic Press ๐ŸŒ English

Geometric Morphometrics for Biologists is an introductory textbook for a course on geometric morphometrics, written for graduate students and upper division undergraduates, covering both theory of shape analysis and methods of multivariate analysis. It is designed for students with minimal math back

Geometric Morphometrics for Biologists
โœ Miriam Zelditch, Donald Swiderski, David H Sheets, William Fink ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐ŸŒ English

Geometric Morphometrics for Biologists is an introductory textbook for a course on geometric morphometrics, written for graduate students and upper division undergraduates, covering both theory of shape analysis and methods of multivariate analysis. It is designed for students with minimal math bac