9780521608657 - Introduction to Computer-Intensive Methods of Data Analysis in Biology von Roff, Derek A. (5 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Softcover. Zustand: Very Good. 368pp. Pictorial laminated light card covers. 8vo. Light chipping to edges and wear to covers, corners starting to curl; crease to top front corner. Previous owner's label on title page. Internally, neat, clean, bright and tight.

Zustand: New. In.

Zustand: New. A 2006 graduate level introduction to modern computational tools for the analysis of biological data using S-PLUS. Num Pages: 378 pages, 48 b/w illus. 30 tables. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 172 x 245 x 19. Weight in Grams: 612. . 2006. Illustrated. paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter.