Whenever we report predicted values, we should also report some measure of the uncertainty of these estimates. In the linear case, this is relatively simple, and the answer well-known, but with nonlinear models the answer may not be apparent. This short article shows how to make these calculations. I first present this for the familiar linear case, also reviewing the two forms of uncertainty in these estimates, and then show how to calculate these for any arbitrary function. An example appears last.Governmen
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[[abstract]]A major difficulty in applying a measurement error model is that one is required to have...
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We investigate conceptually, analytically, and numerically the biases in the estimation of the b-val...
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Recent work has emphasized the importance of evaluating estimates of a statistical functional (such ...
uncertainty representation This paper describes two methods for predicting the likely behaviors of s...
Mult i relät ional models involving simultaneously dependent linear equations are often employed in ...
A method for estimating nonlinear regression errors and their distributions without per-forming regr...
This article develops a pair of new prediction summary measures for a nonlinear prediction function ...
Objectives: We discuss the problem of computing the standard errors of functions involving estimated...
Uncertainty analysis is an important part of system design. The formula for error propagation throug...
[[abstract]]A major difficulty in applying a measurement error model is that one is required to have...
We investigate conceptually, analytically, and numerically the biases in the estimation of the b-val...
Implications of nonlinearity, nonstationarity and misspeci\u85cation are con-sidered from a forecast...
An important problem in applied statistics is fitting a given model function f(fJ) with unknown para...
This paper describes a series of Monte Carlo simulations which investigate the accuracy of final est...
We investigate conceptually, analytically, and numerically the biases in the estimation of the b-val...
We propose a novel methodology for evaluating the accuracy of numeri-cal solutions to dynamic econom...
This paper presents a solution to an important econometric problem, namely the root n consistent est...
Recent work has emphasized the importance of evaluating estimates of a statistical functional (such ...
uncertainty representation This paper describes two methods for predicting the likely behaviors of s...
Mult i relät ional models involving simultaneously dependent linear equations are often employed in ...
A method for estimating nonlinear regression errors and their distributions without per-forming regr...