Showing 1 - 10 of 2,255
Persistent link: https://www.econbiz.de/10008991759
Persistent link: https://www.econbiz.de/10009673531
We study large-sample properties of likelihood ratio tests of the unit root hypothesis in an autoregressive model of arbitrary, finite order. Earlier research on this testing problem has developed likelihood ratio tests in the autoregressive model of order one, but resorted to a plug-in approach...
Persistent link: https://www.econbiz.de/10012216176
This paper presents optimum simple step-stress plans under the log-logistic cumulative exposure model. The likelihood function of the model parameters is derived, from which the Fisher information matrix and the asymptotic variance of the reliability estimate are obtained. Optimum times of...
Persistent link: https://www.econbiz.de/10011000653
The Birnbaum–Saunders distribution is useful for modeling reliability data. In this paper we obtain adjusted profile maximum likelihood estimators for the Birnbaum–Saunders distribution shape parameter under type II data censoring. We consider the adjustments to the profile likelihood...
Persistent link: https://www.econbiz.de/10011056441
We consider cointegration rank estimation for a p-dimensional Fractional Vector Error Correction Model. We propose a … levels. The first step consists in estimating the parameters of the model under the null hypothesis of the cointegration rank … r=1,2,...,p-1. This step provides consistent estimates of the order of fractional cointegration, the cointegration …
Persistent link: https://www.econbiz.de/10010244531
In this paper we consider the Fractional Vector Error Correction model proposed in Avarucci (2007), which is characterized by a richer lag structure than models proposed in Granger (1986) and Johansen (2008, 2009). We discuss the identification issues of the model of Avarucci (2007), following...
Persistent link: https://www.econbiz.de/10010348412
Estimation of the I(2) cointegrated vector autoregressive (CVAR) model is considered. Without further restrictions, estimation of the I(1) model is by reduced-rank regression (Anderson (1951)). Maximum likelihood estimation of I(2) models, on the other hand, always requires iteration. This paper...
Persistent link: https://www.econbiz.de/10011654460
This paper provides some test cases, called circuits, for the evaluation of Gaussian likelihood maximization algorithms of the cointegrated vector autoregressive model. Both I(1) and I(2) models are considered. The performance of algorithms is compared first in terms of effectiveness, defined as...
Persistent link: https://www.econbiz.de/10011781891
Persistent link: https://www.econbiz.de/10003312925