Showing 1 - 10 of 4,477
Persistent link: https://www.econbiz.de/10011011439
Persistent link: https://www.econbiz.de/10008590455
Persistent link: https://www.econbiz.de/10005733912
Haugh [Journal of the American Statistical Association (1976) Vol. 71, pp. 378-85] developed an approach to the problem of testing non-correlation (at all leads and lags) between two univariate time series. Haugh's tests however have low power against two series which are related over a long...
Persistent link: https://www.econbiz.de/10005315172
Persistent link: https://www.econbiz.de/10007861935
Persistent link: https://www.econbiz.de/10003568026
Haugh [Journal of the American Statistical Association (1976) Vol. 71, pp. 378-85] developed an approach to the problem of testing non-correlation (at all leads and lags) between two univariate time series. Haugh's tests, however, have low power against two series which are related over a long...
Persistent link: https://www.econbiz.de/10014067721
Persistent link: https://www.econbiz.de/10008589921
The exact likelihood function of a Gaussian vector autoregressive-moving average (VARMA) model is evaluated in two nonstandard cases: (a) a parsimonious structured form, such as obtained in the echelon form structure or the scalar component model (SCM) structure; (b) a partially nonstationary...
Persistent link: https://www.econbiz.de/10008598233
Linear models with stable error densities are considered, and their local asymptotic normality with respect to the regression parameter is established. We use this result, combined with Le Cam's third lemma, to obtain local powers and asymptotic relative efficiencies for various classical rank...
Persistent link: https://www.econbiz.de/10011099513