Introductory Probability and Statistics Applications for Forestry and Natural Sciences

ISBN-10: 178064051X
ISBN-13: 9781780640518
Edition: 2012
List price: $35.00
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Description: 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 of applying statistical  More...

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Book details

List price: $35.00
Copyright year: 2012
Publisher: CABI
Publication date: 4/2/2012
Binding: Paperback
Pages: 448
Size: 7.25" wide x 9.25" long x 0.75" tall
Weight: 2.090
Language: English

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 of 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 texting, 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.

Antal Kozak is at The University of British Columbia, Canada.

STATISTICS AND DATA: What do Numbers have to do with Trees?
DESCRIPTIVE STATISTICS: Making Sense of Data
PROBABILITY: The Foundation of Statistics
RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Outcomes of Random Experiments
SOME DISCRETE PROBABILITY DISTRIBUTIONS: Describing Data that is Counted
CONTINUOUS DISTRIBUTIONS AND THE NORMAL DISTRIBUTION: Describing Data that is Measured
SAMPLING DISTRIBUTIONS: The Foundation of Inference
ESTIMATION: Determining the Value of Population Parameters
TESTS OF HYPOTHESES: Making Claims about Population Parameters
GOODNESS-OF-FIT AND TEST FOR INDEPENDENCE: Testing Distributions
REGRESSION AND CORRELATION: Relationships between Variables
ANALYSIS OF VARIANCE: Testing Differences between Several Means
SAMPLING METHODS AND DESIGN OF EXPERIMENTS: Collecting Data
NONPARAMETRIC TESTS: Testing when Distributions are Unknown
QUALITY CONTROL: Statistics for Production and Processing

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