Introduction to Statistical Methods in Modern Genetics (Hardcover)

Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application.
Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn:
How a gene is found
How scientists have separated the genetic and environmental aspects of a person's intelligence
How genetics are used in agriculture to improve crops and domestic animals
What a DNA fingerprint is and why there are controversies about it
Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entr?e into the rapidly expanding world of genetic data analysis.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Modern Analysis Series
Release date:	February 2000
First published:	2000
Authors:	M.C. Yang
Dimensions:	229 x 152 x 18mm (L x W x T)
Format:	Hardcover
Pages:	260
ISBN-13:	978-90-5699-134-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN:	90-5699-134-5
Barcode:	9789056991340

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