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Experimental Design and Data Analysis for Biologists
Regression, analysis of variance, correlation, graphical.
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.
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.
Computer Age Statistical Inference, Student Edition
Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.
Mixed Effects Models and Extensions in Ecology with R
This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.
Biostatistics with R
A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
Marketing Research Methods
Academically thorough and up-to-date quantitative and qualitative market research methods text for business and social science students.
Modern Experimental Design
A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional ef...
Sampling Design and Statistical Methods for Environmental Biologists
Provides--in an organized and compact source--a comprehensive guide to the principles of sampling design and statistical analysis methods. Reviews the principles of inference, sampling and statistical design, and hypothesis formulation, all with special reference to ecological data. Includes an impact study illustrating the principles presented. Contains a key to five broad categories of environmental studies--as well as examples and examines specific topics that apply to any environmental study. Provides a comprehensive bibliography which is cross-referenced to the text and keyed to a specific topic code (types of methods and environments studied).
