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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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Related topics

Related topics

6 relations
Autoregressive modelCross-validation (statistics)Curve fittingMallows's Cp

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
NARX modeling for real-time optimization of air and gas compression systems in chemical processes
Highly Cited
2015
Highly Cited
2015
PCA model building with missing data: New proposals and a comparative study
2014
2014
Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in…
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2013
2013
Understanding the impact of trails on residential property values in the presence of spatial dependence
This paper examines the impacts of a multi-purpose trail on residential property values in a hedonic model. Using a large housing… 
Highly Cited
2013
Highly Cited
2013
Non-Bayesian Periodic Cramér-Rao Bound
The Cramér-Rao bound (CRB) is one of the most important tools for performance analysis in parameter estimation. In many… 
2012
2012
On prediction rate in partial functional linear regression
Highly Cited
2006
Highly Cited
2006
On some predictors of times to failure of censored items in progressively censored samples
2003
2003
On Estimating Conditional Mean‐Squared Prediction Error in Autoregressive Models
Abstract. Zhang and Shaman considered the problem of estimating the conditional mean‐squared prediciton error (CMSPE) for a… 
1998
1998
APPROXIMATING THE MEAN SQUARED PREDICTION ERROR IN LINEAR MODELS UNDER THE FAMILY OF EXPONENTIAL CORRELATIONS
We investigate approximations for the mean squared prediction error in a linear regression model with correlated errors. The… 
Highly Cited
1992
Highly Cited
1992
Mean squared prediction error in the spatial linear model with estimated covariance parameters
The problem considered is that of predicting the value of a linear functional of a random field when the parameter vector θ of… 
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