Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2005.1575.1581SahaiAshokM. Mahibbur RahmanRameshwar P. Jaju9200559Long-term data-sets of good quality are invaluable in certain research investigations. In some situation, they are so expensive of time and money, that they are seldom available. It has been noted that the problems of varying data quality, of missing information and that of diversity of data might possibly be dealt with by using meta-data. The key point is to treat relevant good quality meta-data as auxiliary/ancillary information, the use of which is gained through the proposed optimal simple estimation strategies. These strategies are motivated by mixing-type estimators, the desired optimality of these estimators is achieved through optimal manipulation of two design-parameters therein set to control first and second order of large sample approximations to their standard errors. A sensitivity analysis is then used to discover, empirically, the robust estimation strategy from amongst the proposed alternatives.]]>Cuthbertson, M.,1993Hedges, L.V.,1992Reddy, V.S. and J.S. Singh,1993Vos, J.W.E., 1980Sahai, A.,1979Srivastava, S.K.,1967Reddy, V.N.,1974Sukhatme, P.V. and B.V. Sukhatme,1970Hedges, L.V. and I. Olkin,1985Hedges, L.V.,1990