Forest Sampling Desk Reference

by Evert W. Johnson

Overview

Should damaged trees be clear cut and replanted or allowed to recover naturally? Is the deer herd large enough to survive hunting pressure? Managing forest resources entails numerous decisions. Making these decisions intelligently requires sound information about the resource in question. Ideally, assessments should be based on the entire populatio

Product Details

ISBN-13:	9781040062678
Publisher:	CRC Press
Publication date:	06/27/2000
Sold by:	Barnes & Noble
Format:	eBook
Pages:	1008
File size:	7 MB

Table of Contents

Introduction to Sampling. Accuracy and Precision of Data. Data Arrangement. Symbology. Averages. Measures of Dispersion. Probability. Probability Distributions. Multi-Dimensional Probability Distributions. Discrete Probability Distributions. Continuous Probability Distributions. Sampling Theory. Estimation of Parameters. Fundamentals of Hypothesis Testing. Regression and Correlation. Stratified Random Sampling. Cluster Sampling. Systematic Sampling. Ratio Estimation. Double Sampling. Sampling With Unequal Probabilities. Appendix. Literature Cited. Subject Index. Author Index.

Editorial Reviews

Designed to help forest practitioners and students choose the most appropriate sampling procedure for a given purpose, this volume explains the uses and limitations of individual forest sampling designs in forest inventory operations. Covers topics including accuracy and precision of data; symbology; averages; measures of dispersion; probability; discrete and continuous probability distributions; and sampling theory. Additional features include detailed derivations of most of the statistical methods used in forestry and a thorough treatment of systematic and other frequently used forms of sampling one resource. Requires some knowledge of differential and integral calculus and matrix algebra but the mathematical background of most forestry students should be adequate. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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