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# Predictive Mean Squared Error

## Contents

K. Unbiased estimators may not produce estimates with the smallest total variation (as measured by MSE): the MSE of S n − 1 2 {\displaystyle S_{n-1}^{2}} is larger than that of S V. (1979). Mathematical Reviews (MathSciNet): MR1185194 Henderson, C. http://bsdupdates.com/prediction-error/prediction-mean-squared-error-mse.php

Statist. Probability and Statistics (2nd ed.). After two weeks, you can pick another three articles. Mathematical Reviews (MathSciNet): MR448661 JSTOR: links.jstor.org National Research Council (2000). have a peek here

## Mean Squared Prediction Error

Loss function Squared error loss is one of the most widely used loss functions in statistics, though its widespread use stems more from mathematical convenience than considerations of actual loss in G. MSE has nice mathematical properties which makes it easier to compute the gradient. Mean Square Error Formula Mathematical Reviews (MathSciNet): MR1108815 JSTOR: links.jstor.org Searle, S.

An example of an estimator would be taking the average height a sample of people to estimate the average height of a population. of the predicted response when predictor variables are stochastic and, in particular, follow a multivariate normal distribution. Mathematical Reviews (MathSciNet): MR1389890 Digital Object Identifier: doi:10.1214/aos/1033066209 Project Euclid: euclid.aos/1033066209 Zentralblatt MATH: 0853.62022 Jiang, J. (2000). https://en.wikipedia.org/wiki/Mean_squared_error doi:10.1214/009053604000000201.

My first friendUpdated 93w agoSay you define your error as,[math]Predicted Value - Actual Value[/math]. Prediction Error Statistics Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc., a non-profit organization. For example, in a linear regression model where is a new observation and is the regression estimator       with variance , the mean squared prediction error for is   Select a purchase option.

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## Prediction Error Definition

Register for a MyJSTOR account. A unified jackknife theory for empirical best prediction with \$M\$-estimation. Mean Squared Prediction Error Ability to save and export citations. Mean Squared Prediction Error In R Go to Table of Contents.

Mathematical Reviews (MathSciNet): MR1137362 Rao, C. navigate to this website How different error can be.]The difference is pretty simple: in squared error, you are penalizing large deviations more. and Harville, D. Sinica 10 613--627. Mean Square Error Example

However, a biased estimator may have lower MSE; see estimator bias. Narula Journal of the Royal Statistical Society. Login How does it work? More about the author Addison-Wesley. ^ Berger, James O. (1985). "2.4.2 Certain Standard Loss Functions".

Laird, N. Predictive Error WikiProject Statistics (or its Portal) may be able to help recruit an expert. Article informationSourceAnn.

## The general results are applied to mixed linear models to obtain a second-order approximation to the MSE of the empirical best linear unbiased predictor (EBLUP) of a linear mixed effect and

http://projecteuclid.org/euclid.aos/1083178948. If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. and Harville, D. Prediction Error Regression and Kleffe, J. (1988).

R. (1975). In statistical modelling the MSE, representing the difference between the actual observations and the observation values predicted by the model, is used to determine the extent to which the model fits Both linear regression techniques such as analysis of variance estimate the MSE as part of the analysis and use the estimated MSE to determine the statistical significance of the factors or http://bsdupdates.com/prediction-error/predictive-error-definition.php The estimation of the mean squared error of small-area estimators.

Statist. Help Direct export Save to Mendeley Save to RefWorks Export file Format RIS (for EndNote, ReferenceManager, ProCite) BibTeX Text Content Citation Only Citation and Abstract Export Advanced search Close This document Sci. 9 55--93. Because of the square, large errors have relatively greater influence on MSE than do the smaller error.