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This study investigates the causal relationship between economic growth, energy consumption and CO2 emission in Australia using time series data for the period of 1965–2007. Johansen cointegration technique is employed to examine the long run relationship between economic growth, energy...
Persistent link: https://www.econbiz.de/10011096444
Inference about population parameters could be improved using non- sample prior information (NSPI) from reliable sources along with the available data. This paper studies the problem of testing the intercept parameter of a simple regression model when NSPI is available on the value of the slope....
Persistent link: https://www.econbiz.de/10010680669
In this paper we propose shrinkage preliminarytest estimator (SPTE) of the coefficient vector in the multiplelinear regression model based on the size corrected Wald (W),likelihood ratio (LR) and Lagrangian multiplier (LM) tests.The correction factors used are those obtained from degrees...
Persistent link: https://www.econbiz.de/10009479791
The estimation of the slope parameter of two linear regression models with normal errors are considered, when it is suspected that the two lines are parallel. The uncertain prior information about the equality of slopes is presented by a null hypothesis and a coefficient of distrust on the null...
Persistent link: https://www.econbiz.de/10009479874
In Bayesian approach of statistical analyses we incorporate the prior information about the parameter of the model with the observed data. This prior information is in the form of a prior distribution of the parameter. If the prior information is available as a constant value of the parameter...
Persistent link: https://www.econbiz.de/10009479933
The estimation of the mean of an univariate normal population with unknown variance is considered when uncertain non-sample prior information is available. Alternative estimators are defined to incorporate both the sample as well as the non-sample information in the estimation process. Some of...
Persistent link: https://www.econbiz.de/10009479956
Improved James-Stein type estimation of the mean vector$\mbox{\boldmath $\mu$}$ of a multivariate Student-t population ofdimension p with $\nu$degrees of freedom is considered. In addition to the sample data, uncertain prior information on the value of the mean vector, in the form ofa null...
Persistent link: https://www.econbiz.de/10009479957