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Author : Frank Freese
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (319 download)
Download or read book Elementary Statistical Methods for Foresters written by Frank Freese and published by . This book was released on 1967 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (223 download)
Download or read book Elementary Statistical Methods for Foresters written by and published by . This book was released on 1980 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frank Freese
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (219 download)
Download or read book Elementary Forest Sampling written by Frank Freese and published by . This book was released on 1962 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert Osserman
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (233 download)
Download or read book Elementary Statistical Methods for Foresters written by Robert Osserman and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : 國立中興大學森林經理研究所
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (849 download)
Download or read book Elementary Statistical Methods For Foresters ; chu ban written by 國立中興大學森林經理研究所 and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : U.S. Department of Agriculture
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (128 download)
Download or read book Elementary Statistical Methods for Foresters written by U.S. Department of Agriculture and published by . This book was released on 1974 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frank Freese (landbouw en bosbeheer.)
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (676 download)
Download or read book Elementary Statistical Methods for Foresters written by Frank Freese (landbouw en bosbeheer.) and published by . This book was released on 1980 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frank Freese
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (31 download)
Download or read book Elementary Statistical Methods for Foresters written by Frank Freese and published by . This book was released on 1967 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (18 download)
Download or read book Elementary Statistical Methods for Foresters written by and published by . This book was released on 1967 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : H. F. Winters
Publisher :
ISBN 13 :
Total Pages : 29 pages
Book Rating : 4.:/5 ( download)
Download or read book Elementary Statistical Methods for Foresters written by H. F. Winters and published by . This book was released on 1966 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrew Joseph Nash
Publisher :
ISBN 13 :
Total Pages : 123 pages
Book Rating : 4.:/5 (19 download)
Download or read book Elementary Statistics for Foresters written by Andrew Joseph Nash and published by . This book was released on 1960 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Girish Chandra
Publisher : Springer Nature
ISBN 13 : 9811514763
Total Pages : 290 pages
Book Rating : 4.8/5 (115 download)
Download or read book Statistical Methods and Applications in Forestry and Environmental Sciences written by Girish Chandra and published by Springer Nature. This book was released on 2020-01-04 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Frank Freese
Publisher :
ISBN 13 :
Total Pages : 102 pages
Book Rating : 4.:/5 (319 download)
Download or read book Elementary Forest Sampling written by Frank Freese and published by . This book was released on 1962 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : K. Jayaraman
Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.3/5 (91 download)
Download or read book A Handbook on Statistical Analysis in Forestry Research written by K. Jayaraman and published by . This book was released on 2001 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrew Joseph Nash
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (89 download)
Download or read book Elementary Statistics for Foresters written by Andrew Joseph Nash and published by . This book was released on 1958 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Antal Kozak
Publisher : Cabi
ISBN 13 : 9781780640518
Total Pages : 0 pages
Book Rating : 4.6/5 (45 download)
Download or read book Introductory Probability and Statistics written by Antal Kozak and published by Cabi. This book was released on 2012-01-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to be over-specialized and of limited use; an elementary text using methods, examples and exercises that are relevant to forestry and the natural sciences is long overdue. This book utilises basic descriptive statistics and probability, as well as commonly used statistical inferential tools to introduce topics that are commonplace in a forestry context such as hypothesis texting, design of experiments, sampling methods, nonparametric tests and statistical quality control. It also contains examples and exercises drawn from the fields of forestry, wood science, and conservation.
Author : Andrew P. Robinson
Publisher : Springer Science & Business Media
ISBN 13 : 1441977627
Total Pages : 342 pages
Book Rating : 4.4/5 (419 download)
Download or read book Forest Analytics with R written by Andrew P. Robinson and published by Springer Science & Business Media. This book was released on 2010-11-05 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.
