Environmental + Statistical
Environmental Statistics and Data Analysis eBooks & eLearning
Posted by DZ123 at Jan. 21, 2022
Wayne R. Ott, "Environmental Statistics and Data Analysis"
English | 1995 | ISBN: 0873718488 | PDF | pages: 328 | 12.6 mb
English | 1995 | ISBN: 0873718488 | PDF | pages: 328 | 12.6 mb
EnvStats: An R Package for Environmental Statistics [Repost] eBooks & eLearning
Posted by ChrisRedfield at Oct. 9, 2014
![EnvStats: An R Package for Environmental Statistics [Repost]](https://pixhost.icu/avaxhome/2e/e8/002fe82e_medium.jpeg)
назвSteven P. Millard - EnvStats: An R Package for Environmental Statisticsание
Published: 2013-11-30 | ISBN: 1461484553 | PDF | 291 pages | 4 MB
Statistical Analysis of Environmental Space-Time Processes eBooks & eLearning
Posted by DZ123 at Jan. 30, 2015
Nhu D. Le, James V. Zidek, "Statistical Analysis of Environmental Space-Time Processes"
English | 2006 | ISBN: 0387262091 | PDF | pages: 338 | 2 mb
English | 2006 | ISBN: 0387262091 | PDF | pages: 338 | 2 mb
Biometry for Forestry and Environmental Data: With Examples in R eBooks & eLearning
Posted by ksveta6 at Oct. 1, 2020
Biometry for Forestry and Environmental Data: With Examples in R by Lauri Mehtätalo, Juha Lappi
2020 | ISBN: 1498711480 | English | 426 pages | PDF | 10 MB
2020 | ISBN: 1498711480 | English | 426 pages | PDF | 10 MB
Statistical Methods for Groundwater Monitoring by Robert D. Gibbons, Dulal K. Bhaumik eBooks & eLearning
Posted by BUGSY at Sept. 14, 2015
Statistical Methods for Groundwater Monitoring by Robert D. Gibbons, Dulal K. Bhaumik
English | Oct. 12, 2009 | ISBN: 0470164964 | 383 Pages | PDF | 11 MB
English | Oct. 12, 2009 | ISBN: 0470164964 | 383 Pages | PDF | 11 MB
A new edition of the most comprehensive overview of statistical methods for environmental monitoring applications Thoroughly updated to provide current research findings, Statistical Methods for Groundwater Monitoring, Second Edition continues to provide…
Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences eBooks & eLearning
Posted by readerXXI at Feb. 20, 2019
Statistical Tools for the Comprehensive Practice of Industrial
Hygiene and Environmental Health Sciences
by David L. Johnson
English | 2017 | ISBN: 1119143012 | 392 Pages | PDF | 12 MB
Hygiene and Environmental Health Sciences
by David L. Johnson
English | 2017 | ISBN: 1119143012 | 392 Pages | PDF | 12 MB
Statistical methods in water resources eBooks & eLearning
Posted by insetes at April 27, 2019
Statistical methods in water resources By Dennis R. Helsel, Robert M. Hirsch
2002 | 522 Pages | ISBN: 0444814639 | PDF | 10 MB
2002 | 522 Pages | ISBN: 0444814639 | PDF | 10 MB
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences eBooks & eLearning
Posted by hill0 at Aug. 8, 2024
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi
English | 2025 | ISBN: 1032687185 | 364 Pages | PDF (True) | 42 MB
English | 2025 | ISBN: 1032687185 | 364 Pages | PDF (True) | 42 MB
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences eBooks & eLearning
Posted by hill0 at Aug. 8, 2024
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi
English | 2025 | ISBN: 1032687185 | 364 Pages | PDF (True) | 42 MB
English | 2025 | ISBN: 1032687185 | 364 Pages | PDF (True) | 42 MB
Environmental Data Analysis: An Introduction with Examples in R eBooks & eLearning
Posted by AvaxGenius at Dec. 20, 2020
Environmental Data Analysis: An Introduction with Examples in R by Carsten Dormann
English | PDF,EPUB | 2020 | 277 Pages | ISBN : 3030550192 | 38 MB
Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems.