We consider the component testing problem of a system where the main feature is that the component failure rates are not constant parameters, but they change in a dynamic fashion with respect to time. More precisely, each component has a piecewise-constant failure-rate function such that the lifetim
Testing in unobserved components models
β Scribed by Andrew Harvey
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 148 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0277-6693
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β¦ Synopsis
This article reviews recent work on testing for the presence of non!stationary unobserved components and presents it in a uni_ed way[ Tests against random walk components and seasonal components are given and it is shown how the procedures may be extended to multivariate models and models with structural breaks[ Many of the test statistics have an asymptotic distribution belonging to the class of generalized Crame rΓvon Mises dis! tributions[ A test for the number of common trends\ or equivalently\ co! integrating vectors\ is also described[ Copyright Γ 1990 John Wiley + Sons\ Ltd[ KEY WORDS Crame rΓvon Mises distribution^co!integration^Kalman _lter smoother^locally best invariant test^seasonality^stochastic trend^structural time series model Correspondence to]
π SIMILAR VOLUMES
## Abstract The analysisβofβvariance tests for hypotheses on random effects in regular linear models are considered. Conditions are given for these tests to be uniformly most powerful unbiased or uniformly most powerful invariant unbiased. An example shows that the difference between these conditio