With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts at applying statistical methods to these areas tend to be over-specialized and of limited use; an elementary text using methods, examples and exercises that are relevant to forestry and the natural sciences is long overdue. This book utilises basic descriptive statistics and probability, as well as commonly used statistical inferential tools to introduce topics that are commonplace in a forestry context such as hypothesis testing, design of experiments, sampling methods, nonparametric tests and statistical quality control. It also contains examples and exercises drawn from the fields of forestry, wood science, and conservation.
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"This introductory textbook fills an important gap in the existing market by providing general foresters and wood scientists with a rich, well-organized, practical and accessible source of information on statistical design, analyses and tests applicable to their discipline. A useful addition to forestry libraries." --Chartered Forester
Antal Kozak is at The University of British Columbia, Canada. Robert A. Kozak is at The University of British Columbia, Canada. Christina L. Staudhammer is at University of Alabama. Susan B. Watts is at The University of British Columbia, Canada.
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