Approximating the mean squared prediction error in linear models under the family of exponential correlations. - In: Statistica sinica. 8. 1998. S. 511-52
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
none3nononeDiaz Rubio Gery Andres, Giannerini Simone, Goracci GretaDiaz Rubio Gery Andres, Giannerin...
© 2017 American Statistical Association. Prediction precision is arguably the most relevant criterio...
Approximating the mean squared prediction error in linear models under the family of exponential cor...
Three general classes of state space models are presented, using the single source of error formulat...
We present a new method of analysis of the effects of data perturbations on the estimates of signal ...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;不具代表性[[note]]http://gateway.isiknowledge.com/gateway/G...
<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
The performances of five estimators of linear models with autocorrelated disturbance terms are compa...
In the article the autor discusses prediction problems in the general linear model where disturbance...
We obtain a conditional prediction mean squared error for a state space model with estimated paramet...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
The main objective of this paper is to provide analytical expressions for forecast variances that ca...
In this paper the formulas for the matrices of the mean squared prediction error are derived for bot...
Graduation date:1986Prediction intervals for an outcome of a sufficient statistic, T[subscript y], a...
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
none3nononeDiaz Rubio Gery Andres, Giannerini Simone, Goracci GretaDiaz Rubio Gery Andres, Giannerin...
© 2017 American Statistical Association. Prediction precision is arguably the most relevant criterio...
Approximating the mean squared prediction error in linear models under the family of exponential cor...
Three general classes of state space models are presented, using the single source of error formulat...
We present a new method of analysis of the effects of data perturbations on the estimates of signal ...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;不具代表性[[note]]http://gateway.isiknowledge.com/gateway/G...
<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
The performances of five estimators of linear models with autocorrelated disturbance terms are compa...
In the article the autor discusses prediction problems in the general linear model where disturbance...
We obtain a conditional prediction mean squared error for a state space model with estimated paramet...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
The main objective of this paper is to provide analytical expressions for forecast variances that ca...
In this paper the formulas for the matrices of the mean squared prediction error are derived for bot...
Graduation date:1986Prediction intervals for an outcome of a sufficient statistic, T[subscript y], a...
<p>Step Ahead Prediction Mean Squared Error (MSE) for Linear Predictor Coefficient Model.</p
none3nononeDiaz Rubio Gery Andres, Giannerini Simone, Goracci GretaDiaz Rubio Gery Andres, Giannerin...
© 2017 American Statistical Association. Prediction precision is arguably the most relevant criterio...