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Mean squared prediction error

Known as: MSPE 
In statistics the mean squared prediction error of a smoothing or curve fitting procedure is the expected value of the squared difference between the… 
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Papers overview

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2016
2016
Micronucleus test, one of the most popular and promising tests on ecotoxicology, represents a cytogenetic indicator of DNA damage… 
2015
2015
To improve the precision accuracy of short-term traffic flow and make traffic flow programming and management more accurately, a… 
2015
2015
Image segmentation is considered as crucial step dealing with Object-Based Image Analysis (OBIA) and different segmentation… 
2015
2015
Mesoporous magnetic nanoparticles of Fe3O4@ mSiO2@ Cu + were synthesized by two methods of hydrothermal synthesis and room… 
2007
2007
A rigorous analysis of the L2Boosting predictor is given in a highdimensional linear regression model. Instead of boosting the… 
2000
2000
Existing criteria for evaluating the adequacy of a predictive model are model-based (e.g. AIC, BIC, MSPE) or empirical (e.g… 
1998
1998
We investigate approximations for the mean squared prediction error in a linear regression model with correlated errors. The… 
1996
1996
  • 1996
  • Corpus ID: 17415221
Figure 15: The fixed and adaptive frame type arrangements for Garden sequence, along with the motion measurements that are made…