Statistical Methods and Applications in Forestry and Environmental Sciences (1st ed. 2020) (Forum for Interdisciplinary Mathematics)
By: and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811514760
- Related ISBNs:
- 9789811514753
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 05/29/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Hukum Chandra
- Edited by:
- Raman Nautiyal
- Edited by:
- Girish Chandra
Reviews
Other Books
- by Girish Chandra
- by Raman Nautiyal
- by Hukum Chandra
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Technology
- in Mathematics and Statistics
- in Medicine