Applied Statistics in Biology: A Practical Guide Using SAS, R, and JMP (ASA, CSSA, and SSSA Books) - Softcover

Über die Autorin bzw. den Autor

Stephen R. Bowley, PhD former Associate Professor in the Plant Agriculture Department, University of Guelph, Ontario, Canada.

Edzard van Santen, PhD Professor in the Department of Agronomy, University of Florida, USA.

Simon Riley, PhD Consulting Statistician with the Statistical Consulting Unit at the University of Florida, USA.

Diane K. Michelson, PhD Principal Analytical Training Consultant, JMP Education and Training JMP Statistical Discovery LLC, USA.

Ruth M. Hummel, PhD Senior Manager of Education and Training for JMP Statistical Discovery LLC, USA.

Von der hinteren Coverseite

Understand applied statistics and its application in biology research

Biology and its related sciences generate prodigious quantities of data through experimentation and observation. Interpreting this data and using it to generate statistically defensible inferences has become one of the most significant components of modern biological research. There are, however, very few up-to-date resources by which graduate students and researchers in biology can familiarize themselves with the key methodologies of applied statistics as they specifically connect to the applied life sciences.

Applied Statistics in Biology remedies this oversight with a thorough, accessible overview to statistics and its biological applications. Beginning with the history and fundamentals of statistics, it covers all major statistical modes of analysis that biologists might find useful, with an eye towards a robust quantitative education for biologists. Fully up to date and addressing all conventional approaches to statistical analysis, it’s a must-own for biology students and researchers alike.

Applied Statistics in Biology readers will also find:

• Treatment rooted in years of graduate teaching in statistics and biology
• Detailed discussion of topics including regression, “non-Gaussian data,” multivariate techniques, and many more
• A valuable complement to existing resources on applied statistics

Applied Statistics in Biology is ideal for graduate students in agriculture, biology, natural resources, and related fields, as well as for instructors and researchers in these and related subjects.