An Introduction To Mathematical Taxonomy


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An Introduction to Mathematical Taxonomy


An Introduction to Mathematical Taxonomy

Author: G. Dunn

language: en

Publisher: Courier Corporation

Release Date: 2012-04-30


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Students of mathematical biology discover modern methods of taxonomy with this text, which introduces taxonomic characters, the measurement of similarity, and the analysis of principal components. Other topics include multidimensional scaling, cluster analysis, identification and assignment techniques, more. A familiarity with matrix algebra and elementary statistics are the sole prerequisites.

Introduction Mathematical Taxonomy


Introduction Mathematical Taxonomy

Author: G. Dunn

language: en

Publisher: Cambridge University Press

Release Date: 1982-04-01


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Your technical skills and professional expertise are evidence of your ability to accomplish difficult tasks. Strong presentation skills can help you further advance your career. The ability to present articulately to customers, management, peers and others can significantly enhance your credibility, clout, and professional status. Delivering ......

Introduction Mathematical Taxonomy


Introduction Mathematical Taxonomy

Author: G. Dunn

language: en

Publisher: Cambridge University Press

Release Date: 1982-04-01


DOWNLOAD





Taxonomy comprises a broad variety of activities related to the construction of classificatory systems. Over the past several years, the development of numerical and mathematical techniques designed to produce more objective results has transformed the field. This text offers students of mathematical biology an introduction to modern methods of taxonomy. Starting with an introduction to the philosophy and aims of numerical taxonomy, the text considers taxonomic characters and the measurement of similarity. An analysis of principal components presents geometric and mathematical interpretations; other chapters explore multidimensional scaling, cluster analysis, identification and assignment techniques, and the construction of evolutionary trees. Each of the eight major sections concludes with a helpful summary of its contents. In addition to its value to undergraduates, this text should also prove practical for postgraduate students and researchers interested in taxonomy and in the use of numerical methods in evolutionary studies. A familiarity with matrix algebra and elementary statistics are the sole prerequisites. Book jacket.