The correlation between two sequential error terms is given as ( mathrm{Corr}left({varepsilon}_{it},{varepsilon}_{is}right)=frac{sigma_{eta}^2}{sigma_{eta}^2+1};left t,s=1,dots, {T}_i tne sright), ) where ( {sigma}_{eta}^2 ) is the variance of the unobserved individual effects.
We have used TreeNet algorithm, which typically generates thousands of small decision trees built in a sequential error-correcting process to converge to an accurate model given by Salford Systems (SPM 8.0).
Her research has explored executive social networks, compensation and promotions, sequential decision errors, M&A, corporate social responsibility, persuasion in corporate financial reporting, and errors in voting.
The sequential prediction error method is used for the estimation of unknown parameters related to damages.
In commonly used systems for allocating identifying numbers, particularly sequential allocation, typographical errors in one identifier number may not only result in records containing a novel identifier, but also may generate another person's identifier with high probability.
Independence of error terms and sequential correlation of adjacent errors was tested through the Durbin-Watson statistic.
The linearization error sequential linear programming (LESLP) algorithm is formulated so to overcome the traditional limitations of the SLP method.
This research presents a new SLP algorithm (LESLP linearization error sequential linear programming) that implements an advanced technique for defining the move limits.
As it is the index for tables of smooth sequential values, an error within five indices is generally acceptable.
