Forest Biometrics
eBook - PDF

Forest Biometrics

  1. 460 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Forest Biometrics

About this book

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.

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Yes, you can access Forest Biometrics by Michail Prodan in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Pergamon
Year
2013
Print ISBN
9780080124414
eBook ISBN
9781483156552
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Forest Biometrics
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Foreword
  7. Introduction
  8. CHAPTER 1. MATHEMATICAL AIDS
  9. CHAPTER 2. STATISTICAL SURVEYS
  10. CHAPTER 3. FREQUENCY DISTRIBUTIONS. CONCEPTS AND EXAMPLES
  11. CHAPTER 4. MEASURES OF CENTRAL TENDENCY
  12. CHAPTER 5. MEASURES OF DISPERSION AND VARIATION
  13. CHAPTER 6. ERRORS CAUSED BY THE GROUPING OF OBSERVATIONS INTO CLASSES
  14. CHAPTER 7. CALCULATION OF PROBABILITY
  15. CHAPTER 8. DERIVATION OF THE EXPONENTIAL LAW. CALCULATION OF THE NORMAL DISTRIBUTION
  16. CHAPTER 9. THE NORMAL DISTRIBUTION
  17. CHAPTER 10. THE DISTRIBUTION OF RARE EVENTS (POISSON DISTRIBUTION)
  18. CHAPTER 11. GENERALIZED FREQUENCY DISTRIBUTION
  19. CHAPTER 12. OTHER DISTRIBUTIONS
  20. CHAPTER 13. COMBINED DISTRIBUTIONS
  21. CHAPTER 14. STATISTICAL COMPARISONS SAMPLE DISTRIBUTIONS
  22. CHAPTER 15. THE ANALYSIS OF VARIANCE
  23. CHAPTER 16. SAMPLE SURVEYS
  24. CHAPTER 17. THE PLANNING OF EXPERIMENTS
  25. CHAPTER 18. THE CALCULATION OF CORRELATION AND REGRESSION
  26. CHAPTER 19. CURVE FITTING BY ORTHOGONAL POLYNOMIALS
  27. CHAPTER 20. FITTING OF REGRESSIONS SUBJECT TO PERIODIC VARIATION
  28. CHAPTER 21. MULTIPLE REGRESSION AND CORRELATION
  29. CHAPTER 22. GROWTH FUNCTIONS
  30. CHAPTER 23. METHODS AND TERMINOLOGY OF ECONOMIC STATISTICS
  31. CHAPTER 24. TIME SERIES
  32. CHAPTER 25. BRIEF INTRODUCTION TO LINEAR PROGRAMMING
  33. BIBLIOGRAPHY
  34. INDEX