Decision-Making Using Efficient Confidence-Intervals with Meta-Analysis of Spatial Panel Data for Socioeconomic Development Project-Managers
Ashok Kumar Sahai, Clement K. Sankat, Koffka Khan · International Journal of Intelligent Systems and Applications · 2012
It is quite common to have access to geospatial (temporal/spatial) panel data generated by a set of similar data for analyses in a meta-data setup.Within this context, researchers often emp loy pooling methods to evaluate the efficacy of meta-data analysis.One of the simplest techniques used to combine individual-study results is the fixed-effects model, which assumes that a true-effect is equal for all studies.An alternative, and intuitively-more-appealing method, is the random-effects model.A paper was presented by the first author, and his co-authors addressing the efficient estimation problem, using this method in the aforesaid meta-data setup of the ‗Geospatial Data' at hand, in Map World Foru m meeting in 2007 at Hyderabad; INDIA.The purpose of this paper had been to address the estimation problem of the fixed-effects model and to present a simu lation study of an efficient confidence-interval estimation of a mean true-effect using the panel-data and a random-effects model, too in order to establish appropriate ‗confidence interval' estimation for being readily usable in a decisionmakers' setup.The present paper continues the same perspective, and proposes a much mo re efficient estimation strategy furthering the gainful use of the ‗Geospatial Panel-Data' in the Global/Continental/ Regional/ National contexts of -Socioeconomic & other Develop mental Issues'.The ‗Statistical Efficient Confidence Interval Estimat ion Theme' of the paper(s) has a wider amb it than its applicab ility in the context of ‗Socioeconomic Develop ment' only.Th is ‗Statistical Theme' is, as such, equally gainfu lly applicab le to any area of application in the present world-order at large inasmuch as the -Data-Mapping‖ in any context, for example, the issues in the topically significant area of -Global Env iron mental Po llut ion-Mitigation for Arresting the Crit ical phenomenon of Global Warming‖.Such similar issues are tackle-able more readily, as the impactful advances in the -GIS & GPS‖ technologies have led to the concept of -Managing Global Village‖ in terms of ‗Geospatial Meta-Data'.This last fact has been seminal to special zeal-n-mot ivation to the authors to have worked for this improved paper containing rather a much more efficient strategy of confidenceinterval estimat ion for decision-making team of managers for any impugned area of application.