<--- Back to Details
First PageDocument Content
Statistics / Data analysis / Measurement / Estimation theory / Mean squared error / Errors and residuals / Root-mean-square deviation
Date: 2013-11-01 08:27:22
Statistics
Data analysis
Measurement
Estimation theory
Mean squared error
Errors and residuals
Root-mean-square deviation

Why NRMSE is not completly reliable for forecast/hindcast model test performances

Add to Reading List

Source URL: www.waveworkshop.org

Download Document from Source Website

File Size: 290,60 KB

Share Document on Facebook

Similar Documents

CSIRO PUBLISHING  www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

DocID: 1rftp - View Document

Luís Fernando Raínho Alves Torgo  INDUCTIVE LEARNING OF TREE-BASED REGRESSION MODELS

Luís Fernando Raínho Alves Torgo INDUCTIVE LEARNING OF TREE-BASED REGRESSION MODELS

DocID: 1r7dT - View Document

Why NRMSE is not completly reliable for forecast/hindcast model test performances

Why NRMSE is not completly reliable for forecast/hindcast model test performances

DocID: 1qKus - View Document

ESTIMATION OF REPRODUCTIVE RATES OF BURROWING OWLS LEAH R. GORMAN,1 Oregon Cooperative Wildlife Research Unit, Department of Fisheries and Wildlife, Oregon State University, Corvallis, ORUSA DANIEL K. ROSENBERG,2

ESTIMATION OF REPRODUCTIVE RATES OF BURROWING OWLS LEAH R. GORMAN,1 Oregon Cooperative Wildlife Research Unit, Department of Fisheries and Wildlife, Oregon State University, Corvallis, ORUSA DANIEL K. ROSENBERG,2

DocID: 1qCeY - View Document

Variogram estimation in the presence of trend

Variogram estimation in the presence of trend

DocID: 1q87y - View Document