derrierloisirs.fr
» » Introduction Mathematical Taxonomy (Cambridge Studies in Mathematical Biology)

Download Introduction Mathematical Taxonomy (Cambridge Studies in Mathematical Biology) ePub

by B. S. Everitt,G. Dunn

Download Introduction Mathematical Taxonomy (Cambridge Studies in Mathematical Biology) ePub
  • ISBN 0521283884
  • ISBN13 978-0521283885
  • Language English
  • Author B. S. Everitt,G. Dunn
  • Publisher Cambridge University Press; 1 edition (April 30, 1982)
  • Pages 159
  • Formats rtf lit doc lrf
  • Category Different
  • Subcategory Science and Mathematics
  • Size ePub 1795 kb
  • Size Fb2 1690 kb
  • Rating: 4.2
  • Votes: 910

Book by Dunn, G., Everitt, B. S.

Cambridge University Press, Cambridge 1982, 152 p. price (P/B) £ . 5 (also issued in hard covers).

Cambridge University Press, Cambridge 1982, 152 p. Authors and affiliations. S. Everitt AN INTRODUCTION TO MATHEMATICAL TAXONOMY Cambridge studies in mathematical biology 5. Cambridge University Press, Cambridge 1982, 152 p.

Dunn (Author), B. Everitt (Author). in Books Science & Math Biological Sciences Biology. ISBN-13: 978-0486435879. Start reading An Introduction to Mathematical Taxonomy on your Kindle in under a minute. Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Books in this series are concerned with mathematical aspects of biology or mathematical treatments of areas in the biological sciences suitable for such approaches. The series is aimed at undergraduate and graduate students, especially those taking courses in mathematical biology. Each book will be reasonably self-contained, covering necessary background theory, but without allowing the mathematical details to obscure biological relevance.

This book tells what we knew about the mathematics of epidemics up until 1990. Along came 'computational biology', or 'agent-based models' or 'numerical methods'

This book tells what we knew about the mathematics of epidemics up until 1990. The differential equations (beginning with Bernoulli and moving forward) are presented well. That is, the variables are defined in the text and not too many steps are skipped in the derivations. Along came 'computational biology', or 'agent-based models' or 'numerical methods'. After 1990, these new techniques allowed us to escape from the perfect-mixing assumption that caused the Kermack and McKendrick model to depart from reality. With computation, we were able to see the impact of social networks, targeted innoculuations, and to test the value of different intervention strategies.

Students of mathematical biology discover modern methods of taxonomy with this text, which introduces taxonomic . Our aim in this text is to provide biologists and others with an introduction to those mathematical techniques useful in taxonomy.

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 pairwise similarity matrix was generated using Jaccard's coefficient (Dunn and Everitt 1982) by means of SIMQUAL procedure of NTSYS-pc.

New York: Cambridge University Press, 1982. A pairwise similarity matrix was generated using Jaccard's coefficient (Dunn and Everitt 1982) by means of SIMQUAL procedure of NTSYS-pc. The Jaccard's coefficient (Sneath and Sokal 1973) was used as the association coefficient.

Mathematical and theoretical biology is a branch of biology which employs theoretical analysis, mathematical models and abstractions of the living organisms to investigate the principles that govern the structure, development and behavior of the syst.

Mathematical and theoretical biology is a branch of biology which employs theoretical analysis, mathematical models and abstractions of the living organisms to investigate the principles that govern the structure, development and behavior of the systems, as opposed to experimental biology which deals with the conduction of experiments to prove and validate the scientific theories.

Discover new books on Goodreads. See if your friends have read any of . Medical Statistics from A to Z: A Guide for Clinicians and Medical Students.