Add to ORKGThis paper presents prediction intervals for the multiple linear regression model after forward selection. The prediction interval is for a future value of the response variable Yf given a p×1 vector of predictors x
<p>Multiple linear regression analysis for the prediction of FF measures in the BFP.</p
<p>Predicted citations from the Linear model, with confidence and prediction intervals.</p
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
We study the prediction problem for a future response in the original scale when the Box-Cox transfo...
This paper presents a prediction interval for the multiple linear regression model, after forward se...
This thesis presents inference for the multiple linear regression model Y = beta_1 x_1 + ... + beta...
Consider a regression model where Y|x ∼ D(h(x),θ) for some real valued function such as h(x) = xTβ w...
Recently, Hwang et al. (2009) proposed a variable selection method for high dimensional linear regre...
This paper presents asymptotically optimal prediction intervals and prediction regions. The predicti...
We construct bootstrap prediction intervals for linear autoregressions, nonlinear autoregressions, n...
We consider the on-line predictive version of the standard problem of linear regression; the goal is...
Forward regression is a statistical model selection and estimation procedure which inductively selec...
Abstract. Multistep-ahead prediction is the task of predicting a sequence of values in a time series...
<p><sup>a</sup>aOR: adjusted odds ratio.</p><p><sup>b</sup> CI: confidence interval.</p><p>The best ...
In order to construct prediction intervals without the combersome--and typically unjustifiable--assu...
<p>Multiple linear regression analysis for the prediction of FF measures in the BFP.</p
<p>Predicted citations from the Linear model, with confidence and prediction intervals.</p
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
We study the prediction problem for a future response in the original scale when the Box-Cox transfo...
This paper presents a prediction interval for the multiple linear regression model, after forward se...
This thesis presents inference for the multiple linear regression model Y = beta_1 x_1 + ... + beta...
Consider a regression model where Y|x ∼ D(h(x),θ) for some real valued function such as h(x) = xTβ w...
Recently, Hwang et al. (2009) proposed a variable selection method for high dimensional linear regre...
This paper presents asymptotically optimal prediction intervals and prediction regions. The predicti...
We construct bootstrap prediction intervals for linear autoregressions, nonlinear autoregressions, n...
We consider the on-line predictive version of the standard problem of linear regression; the goal is...
Forward regression is a statistical model selection and estimation procedure which inductively selec...
Abstract. Multistep-ahead prediction is the task of predicting a sequence of values in a time series...
<p><sup>a</sup>aOR: adjusted odds ratio.</p><p><sup>b</sup> CI: confidence interval.</p><p>The best ...
In order to construct prediction intervals without the combersome--and typically unjustifiable--assu...
<p>Multiple linear regression analysis for the prediction of FF measures in the BFP.</p
<p>Predicted citations from the Linear model, with confidence and prediction intervals.</p
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p