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Forest Biometrics

  • 1st Edition - January 1, 1968
  • Latest edition
  • Author: Michail Prodan
  • Language: English

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… Read more

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Description

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.

Table of contents


Foreword

Introduction


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

Bibliography

Index

Product details

  • Edition: 1
  • Latest edition
  • Published: October 22, 2013
  • Language: English

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