Hypothesis testing for some time-series models: a power comparison
Following the general approach for constructing test statistics for stochastic models based on optimal estimating functions by Thavaneswaran (1991), a new test statistic via martingale estimating function is proposed. Applications to some time-series models such as random coefficient autoregressive (RCA) models are discussed. It is shown that the choice of an optimal estimating function according to Godambe's (1985) criterion leads to optimal power against a fixed alternative.
Year of publication: |
1998
|
---|---|
Authors: | Thavaneswaran, A. ; Peiris, Shelton |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 38.1998, 2, p. 151-156
|
Publisher: |
Elsevier |
Keywords: | Nonlinear Estimating function Random coefficient Autoregressive Test statistics Optimal power |
Saved in:
Saved in favorites
Similar items by person
-
Generalized smoothed estimating functions for nonlinear time series
Thavaneswaran, A., (2003)
-
Nonparametric estimation for some nonlinear models
Thavaneswaran, A., (1996)
-
Generalized moving average models and applications in high frequency data
Peiris, Shelton, (2002)
- More ...