Scientific Inference: Learning from Data

by Simon Vaughan

Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice.

236 pages, Hardcover

First published September 30, 2013

Reviews

[Beth · Rating 4 out of 5]

Practical information, with examples, for using statistical tests to understand scientific data. Examples mainly use the R package, but some simple things are done manually. Includes appendix of basic R commands and functions. Written by a physicist, so all of the example data comes from interesting historic physics experiments, like the Michelson-Morley determination of the speed of light.