3 edition of **Statistical analysis in biology** found in the catalog.

Statistical analysis in biology

Mather, Kenneth Sir

- 181 Want to read
- 5 Currently reading

Published
**1951**
by Methuen in London
.

Written in English

- Mathematical statistics.,
- Biometry.

**Edition Notes**

Includes bibliographical references.

Statement | by K. Mather. With a foreword by R. A. Fisher. |

The Physical Object | |
---|---|

Pagination | 267 p. : |

Number of Pages | 267 |

ID Numbers | |

Open Library | OL19455467M |

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Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied. Statistics is the discipline that concerns the collection, organization, displaying, analysis, interpretation and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a.

A biologist's guide to statistical thinking and analysis * David S. Fay 1 § and Ken Gerow 2 1 Department of Molecular Biology, College of Agriculture and Natural Resources, University of Wyoming, Laramie WY , On the surface, the statistical analysis might seem simple. Introduction 1 Generative Models for Discrete Data 2 Statistical Modeling 3 High Quality Graphics in R 4 Mixture Models 5 Clustering 6 Testing 7 Multivariate Analysis 8 High-Throughput Count Data 9 Multivariate methods for heterogeneous data 10 Networks and Trees 11 Image data 12 Supervised Learning 13 Design of High Throughput Experiments and.

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