2 edition of **Statistics and mathematics in biology** found in the catalog.

Statistics and mathematics in biology

Oscar Kempthorne

- 122 Want to read
- 0 Currently reading

Published
**1954**
by Iowa State College Press in Ames
.

Written in English

**Edition Notes**

Statement | edited by Oscar Kempthorne and others. |

ID Numbers | |
---|---|

Open Library | OL13969205M |

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Statistics and mathematics in biology. Ames, Iowa State College Press [] (OCoLC) Online version: Biostatistics Conference ( Iowa State College). Statistics and mathematics in biology. Ames, Iowa State College Press [] (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors / Contributors.

The fast growing field of mathematical biology addresses biological questions using mathematical models from areas such as dynamical systems, probability, statistics, and discrete mathematics. This book considers models that are described by systems of partial differential equations, and it focuses on modeling, rather than on numerical methods.

Additional Physical Format: Online version: Kempthorne, Oscar. Statistics and mathematics in biology. New York, Hafner Pub. Co., [©] (OCoLC) high school math. social sciences. literature and english. foreign languages. Circular Statistics in Biology (Mathematics in biology) by Edward Batschelet PDF, ePub eBook D0wnl0ad Book image is different than this.

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Introduction. The two instances of modern in the title of this book reflect the two major recent revolutions in biological data analyses. Biology, formerly a science with sparse, often only qualitative data has turned into a field whose production of quantitative data is on par with high energy physics or astronomy, and whose data are wildly more heterogeneous and complex.

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Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering.

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About the Book. Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems.

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