A Practical Guide to Scientific Data Analysis

Wiley is pleased to announce the publication of A Practical Guide to Scientific Data Analysis (January 2010). This ‘statistics book for the non-statistician’ is the first book in the field to address this important topic.

The application of statistical and mathematical methods to the design of performance chemicals such as pharmaceuticals, agrochemicals, fragrances, flavors and paints is an increasingly important area. The process requires an understanding of the mechanism of action, the relationship between performance and chemical structure, the dependence of certain chemical and physicochemical properties on chemical structure and the design of experiments.

A Practical Guide to Scientific Data Analysis is a practical handbook aimed at the working scientist involved in the design of performance chemicals. It will have wide appeal, not only to chemists, but also to biochemists, pharmacists and other researchers within the field of statistical analysis of experimental results.

A Practical Guide to Scientific Data Analysis will prove invaluable for professional scientists in the pharmaceutical, agrochemical, chemical and biotechnology industries. It is also written specifically for post-doctoral researchers and PhD students from disciplines where mathematical modeling and statistics is not fundamentally taught, such as analytical chemistry, computational chemistry, and general chemistry for experimental physical chemistry options.

CONTENTS

Chapter 1: Introduction: Data and its Properties, Analytical Methods and Jargon
Chapter 2: Experimental Design -- Experiment and Set Selection
Chapter 3: Data Pre-treatment and Variable Selection
Chapter 4: Data Display
Chapter 5: Unsupervised Learning
Chapter 6: Regression Analysis
Chapter 7: Supervised Learning
Chapter 8: Multivariate Dependent Data
Chapter 9: Artificial Intelligence & Friends
Chapter 10: Molecular Design