Book Details
Format
Hardback or Cased Book
Book Series
Modern Analysis Series
ISBN-10
9056991345
ISBN-13
9789056991340
Publisher
Taylor & Francis Ltd
Imprint
Taylor & Francis Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 23rd, 2000
Print length
260 Pages
Weight
567 grams
Product Classification:
Probability & statisticsMaths for scientistsGenetics (non-medical)
Ksh 25,200.00
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Providing the required background in genetics, this book is useful for those looking to enter this arena. It includes some of the statistical tools important in genetics applications. It contains explanations, figures, and exercise sets in each chapter.
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 entrée into the rapidly expanding world of genetic data analysis.
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:
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 entrée into the rapidly expanding world of genetic data analysis.
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