A Handbook on Statistical Analysis in Forestry Research
Author | : K. Jayaraman |
Publisher | : |
Total Pages | : 230 |
Release | : 2001 |
Genre | : Forest management |
ISBN | : |
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Author | : K. Jayaraman |
Publisher | : |
Total Pages | : 230 |
Release | : 2001 |
Genre | : Forest management |
ISBN | : |
Author | : Girish Chandra |
Publisher | : Springer |
Total Pages | : 288 |
Release | : 2020-01-05 |
Genre | : Medical |
ISBN | : 9789811514753 |
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 | : Girish Chandra |
Publisher | : Springer Nature |
Total Pages | : 290 |
Release | : 2020-01-04 |
Genre | : 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.
Author | : International Union of Forestry Research Organizations. Subject Group S6.02--Statistical Methods, Mathematics and Computers |
Publisher | : |
Total Pages | : 210 |
Release | : 1976* |
Genre | : Forests and forestry |
ISBN | : |
Author | : International Union of Forestry Research Organizations |
Publisher | : |
Total Pages | : 210 |
Release | : 1973 |
Genre | : |
ISBN | : |
Author | : Matthew Russell |
Publisher | : CRC Press |
Total Pages | : 333 |
Release | : 2022-08-19 |
Genre | : Science |
ISBN | : 1000637891 |
To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals who are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals who have previously had a course or two in statistics will also find the content familiar. This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R. The primary goal of this book is to learn and apply common statistical methods used in natural resources by using the R programming language. If you dedicate considerable time to this book, you will: Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data. Become competent in importing, analyzing, and visualizing complex data sets in the R environment. Recode, combine, and restructure data sets for statistical analysis and visualization. Appreciate probability concepts as they apply to environmental problems. Understand common distributions used in statistical applications and inference. Summarize data effectively and efficiently for reporting purposes. Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results. Understand which modeling frameworks are appropriate for your data and how to interpret predictions. Includes over 130 exercises in R, with solutions available on the book’s website.
Author | : International Union of Forestry Research Organizations. Advisory Group of Forest Statisticians, Subject group S6.02 |
Publisher | : |
Total Pages | : 209 |
Release | : 1973 |
Genre | : |
ISBN | : |