On Efficient Confidence Intervals via Meta-Analysis of Geo-Spatial Data for Global Warming Control in Decision-Makers? Setup for Project-Managers

by Ashok Sahai and Neeraj Tiwari .

Abstract: With the advent of Geographical Information System (GIS) & Global Positioning System (GPS), it is quite common to have access to geospatial temporal/spatial panel data for analyses in a meta-data setup. In this context, researchers often employ pooling methods to evaluate the efficacy of meta-data analysis such as 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. This paper addresses the efficient confidence-interval (in decision makers? set-up for the „project-managers?) estimation problem, using this method in the aforesaid meta-data setup of the „Geospatial Data? at hand. As compared to the latest state-of-art of such estimation-strategies in the literature up-to-date, this paper aims at a much more efficient estimation strategy furthering the gainful use of the „Geospatial Panel-Data? in the Global/Continental/Regional/National contexts. This „Statistical Theme? is, as such, equally gainfully applicable to any area of application in the present world-order at large inasmuch as the “Data-Mapping” in any context, e.g. the topically significant one of “Global Environmental Pollution-Mitigation for Arresting the Critical phenomenon of Global Warming”, etc; 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-motivation to the authors to have worked for this improved paper containing rather a much more efficient strategy of confidence-interval estimation for decision-making team of managers for any impugned area of application.

Key Words: No Key Words

Authors:
Ashok Sahai, ashok.sahai@sta.uwi.edu
Neeraj Tiwari, kumarn_amo@yahoo.com

Editor: Abdallah Abdelfattah, a_afattah@hotmail.com

READING THE ARTICLE: You can read the article in portable document (.pdf) format (517251 bytes.)

NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.

This page has been accessed 1792 times since MARCH 11, 2011.


Return to the InterStat Home Page.