z-logo
open-access-imgOpen Access
A Comparison of Selected Parametric and Non-Parametric Imputation Methods for Estimating Forest Biomass and Basal Area
Author(s) -
Donald Gagliasso,
Susan Hummel,
Hailemariam Temesgen
Publication year - 2014
Publication title -
open journal of forestry
Language(s) - English
Resource type - Journals
eISSN - 2163-0437
pISSN - 2163-0429
DOI - 10.4236/ojf.2014.41008
Subject(s) - mean squared error , basal area , statistics , environmental science , random forest , imputation (statistics) , parametric statistics , mathematics , computer science , forestry , geography , missing data , artificial intelligence

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom