WEST Book Store

Browse the links belows for books to purchase from WEST team members:

  • The Statistics of Natural Selection

    The Statistics of Natural Selection

    1985. Chapman & Hall. BUY BOOK

    This text offers not only a summary of the methods of data analysis which are applicable to natural selection, but also attempts to provide an historical context. Examples are an important feature and have been carefully selected from the research literature. The practical aspects of interpretation and analysis are stressed, as is shown by the inclusion of statistical appendices, computer program listing and worked examples. It should also be of interest to statisticians and biometricians. –This text refers to an out of print or unavailable edition of this title.

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  • Multivariate Statistical Methods, A Primer

    Multivariate Statistical Methods, A Primer

    1986. Chapman & Hall. BUY BOOK

    This is a thoroughly revised, updated edition of a best-selling introductory textbook and primer. The third edition retains the author’s trademark concise and clear style and its focus on examples in the biological and environmental sciences. Topics new to this edition include confirmatory factor analysis, handling missing values, and the emerging techniques of data mining and neural networks. While not linking the book to any specific software package, the book now includes an appendix comparing and contrasting various statistical software packages, such as Stata, Statistica, SAS, and Genstat.

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  • Stage-structured Populations: Sampling, Analysis, and Simulation

    Stage-structured Populations: Sampling, Analysis, and Simulation

    1990. Chapman & Hall. BUY BOOK

    Part of a series which explores many facets of population biology and the processes that determine the structure and dynamics of communities, this book is concerned almost entirely with statistical modeling. The various approaches to the modeling of biological populations are defined into three categories in this book namely mathematical, statistical and predictive modeling. Mathematical modeling is largely concerned with developing models that capture the most important qualitative features of population dynamics. Statistical modeling is driven by the needs of data analysis. Often, practical considerations will dictate the type of data that can be collected on a population and the primary interest is in using the data to estimate important population parameters.

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  • The Design and Analysis of Research Studies

    The Design and Analysis of Research Studies

    1992. Cambridge University Press. BUY BOOK

    This book provides research workers with the statistical background needed in order to collect and analyze data in an intelligent and critical manner. Key examples and case studies are used to illustrate commonly encountered research problems and to explain how they may be solved or even avoided altogether. Professor Manly also presents a clear understanding of the opportunities and limitations of different research designs, as well as an introduction to some new methods of analysis that are proving increasingly popular. Topics covered include: the differences between observational and experimental studies, the design of sample surveys, multiple regression, interrupted time series, computer intensive statistics, and the ethical considerations of research. In the final chapter, there is a discussion of how the various components of a research study come together.

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  • Randomization, Bootstrap, and Monte Carlo Methods in Biology

    Randomization, Bootstrap, and Monte Carlo Methods in Biology

    1997. Chapman & Hall. BUY BOOK

    Presenting a non-mathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

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  • Statistics for Environmental Science and Management

    Statistics for Environmental Science and Management

    2001. Chapman & Hall/CRC Press. BUY BOOK

    The use of appropriate statistical methods is essential when working with environmental data. Yet, many environmental professionals are not statisticians. A ready reference guide to the most common methods used in environmental applications, Statistics for Environmental Science and Management introduces the statistical methods most frequently used by environmental scientists, managers, and students. Using a non-mathematical approach, the author describes techniques such as: environmental monitoring, impact assessment, assessing site reclamation, censored data, and Monte Carlo risk assessment, as well as the key topics of time series and spatial data. The book shows the strengths of different types of conclusions available from statistical analyses.

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  • Wildlife Study Design

    Wildlife Study Design

    2001. Springer. BUY BOOK

    Resource for implementing and evaluating appropriate wildlife and conservation studies, for researchers and resource managers. Includes a guide to setting up a new study, minimal mathematical notations and examples from field research, and other information that provides relevance. DLC: Animal ecology.

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  • Resource Selection by Animals, Statistical Design and Analysis for Field Studies.

    Resource Selection by Animals, Statistical Design and Analysis for Field Studies.

    2002. Kluwer Academic Publishers. BUY BOOK

    The current literature on resource selection by animals is a maze of methodologies for data collection and interpretation. Field biologists need a guide through the labyrinth. This book provides such a guide. It gives a clear and consistent framework for the study of how animals select their resources (food and habitat) by taking the reader through different types of study design. It is an invaluable handbook for the field biologist, especially those concerned with the management and conservation of wildlife.

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  • The Handbook for Capture-Recapture Analysis, 2006

    The Handbook for Capture-Recapture Analysis, 2006

    Steven C. Amstrup (Editor), Trent L. McDonald (Editor), Bryan F. J. Manly (Editor) BUY BOOK

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  • Statistics for Environmental Science and Management

    Statistics for Environmental Science and Management

    Manly, Bryan F.J.

    Presenting a non-mathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

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