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Forest Biometrics presents the methods of mathematical statistics and biometrics that are significant to forestry. This book explores other fields related to forestry, which are explained with the help of a large number of practical examples. Organized into 25 chapters, this book starts with an overview of the variety of data that play a significant role in forest management, including the age of trees, the damage caused by storms, the fluctuation of timber prices, bark beetle infestation, and timber volume. This text then examines the factors that are responsible for a random distribution of the values in biological experimentation. Other chapters consider the important advantages of sample surveys compared to complete enumerations, include cheaper samples, wider applicability, quick results, and greater accuracy. The final chapter deals with the factors to be considered in determining the best time for harvesting of timber. This book is a valuable resource for students, research project leaders, and practical workers.
1 Mathematical Aids
2 Statistical Surveys
3 Frequency Distributions. Concepts and Examples
4 Measures of Central Tendency
5 Measures of Dispersion and Variation
6 Errors Caused by the Grouping of Observations into Classes
7 Calculation of Probability
8 Derivation of the Exponential Law. Calculation of the Normal Distribution
9 The Normal Distribution
10 The Distribution of Rare Events (Poisson Distribution)
11 Generalized Frequency Distribution
12 Other Distributions
13 Combined Distributions
14 Statistical Comparisons. Sample Distributions
15 The Analysis of Variance
16 Sample Surveys
17 The Planning of Experiments
18 The Calculation of Correlation and Regression
19 Curve Fitting by Orthogonal Polynomials
20 Fitting of Regressions Subject to Periodic Variation
21 Multiple Regression and Correlation
22 Growth Functions
23 Methods and Terminology of Economic Statistics
24 Time Series
25 Brief Introduction to Linear Programming
- No. of pages:
- © Pergamon 1968
- 1st January 1968
- eBook ISBN:
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