Elementary Statistical Methods For Foresters ; chu ban
Author : 國立中興大學森林經理研究所
Publisher :
Page : pages
File Size : 41,42 MB
Release : 1980
Category :
ISBN :
Author : 國立中興大學森林經理研究所
Publisher :
Page : pages
File Size : 41,42 MB
Release : 1980
Category :
ISBN :
Author : Frank Freese
Publisher :
Page : 96 pages
File Size : 15,38 MB
Release : 1967
Category : Forestry engineers
ISBN :
Author :
Publisher :
Page : 87 pages
File Size : 31,51 MB
Release : 1980
Category :
ISBN :
Author : Frank Freese
Publisher :
Page : 178 pages
File Size : 47,54 MB
Release : 1962
Category : Forest surveys
ISBN :
Author : U.S. Department of Agriculture
Publisher :
Page : 87 pages
File Size : 18,75 MB
Release : 1974
Category :
ISBN :
Author : Robert Osserman
Publisher :
Page : pages
File Size : 19,12 MB
Release : 1975
Category : Geometry, Differential
ISBN :
Author :
Publisher :
Page : 87 pages
File Size : 39,29 MB
Release : 1967
Category : Forests and forestry
ISBN :
Author : Frank Freese (landbouw en bosbeheer.)
Publisher :
Page : 87 pages
File Size : 10,83 MB
Release : 1980
Category :
ISBN :
Author : H. F. Winters
Publisher :
Page : 29 pages
File Size : 23,43 MB
Release : 1966
Category : Irrigation farming
ISBN :
Author : Girish Chandra
Publisher : Springer Nature
Page : 290 pages
File Size : 48,41 MB
Release : 2020-01-04
Category : Medical
ISBN : 9811514763
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.