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Experimental Design and Data Analysis for Biologists
A biostatistics textbook for upper undergraduate and graduate students, covering analyses used by biologists and now including R code.
Experimental Design and Data Analysis for Biologists
Regression, analysis of variance, correlation, graphical.
Computer Age Statistical Inference, Student Edition
Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.
Monitoring Ecological Impacts
Monitoring Ecological Impacts provides the tools needed to design assessment programs that can reliably monitor, detect, and allow management of human impacts on the natural environment. The procedures described are well-grounded in inferential logic, and the statistical models needed to analyse complex data are given. Step-by-step guidelines and flow diagrams provide clear and useable protocols which can be applied in any region of the world, a wide range of human impacts, and any ecosystem. In addition, real examples are used to show how the theory can be put into practice.
Marketing Research Methods
Academically thorough and up-to-date quantitative and qualitative market research methods text for business and social science students.
Biostatistics with R
A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
Applied Nonparametric Statistical Methods
While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some
Biostatistical Design and Analysis Using R
R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regres...
The Cambridge Companion to Human Rights Law
Captures the essence of the multi-layered subject of human rights law in a way that is authoritative, critical and scholarly.
