Asymtotically exact confidence intervals of CUSUM and CUSUMSQ tests: A Numerical Derivation Using Simulation Technique
Book information
Description
In testing a structural change, the approximated confidence intervals are conventionally used for CUSUM and CUSUMSQ tests. This paper numerically derives the asymptotically exact confidence intervals of CUSUM and CUSUMSQ tests. It can be easily extended to nonnormal and/or nonlinear models.
Similar books
Computational Methods in Statistics and Econometrics (Statistics, a Series of Textbooks and Monographs)
2004 · PDF
Power comparison of non-parametric tests: Small-sample properties from Monte Carlo experiments
1997 · PDF
Power Comparison of Empirical Likelihood Ratio Tests: Small Sample Properties through Monte Carlo Studies
2004 · PDF
onlinear and non-Gaussian state estimation: A quasi-optimal estimator
1998 · PDF
On a test for structural stability of euler conditions parameters estimated via the generalized method of moments estimator: small sample properties
1996 · PDF
Nonlinear Filters: Estimation and Applications
1996 · PDF
Nonlinear and nonnormal filters using Monte Carlo methods
1996 · PDF
Non-linear and non-normal filter based on Monte-Carlo technique
1997 · PDF