ICAR-IASRI Newsletter, January-March 2013

Abstract

To find a solution to the problem of unavailability of an efficient incomplete block design, the optimization techniques have been developed for construction of incomplete block designs when an efficient incomplete block design is not available for given number of treatments, blocks and block sizes. A multi-step linear integer programming approach to construct a proper binary incomplete block design with specified parameters and concurrence matrix has also been developed. Nearly balanced concurrence matrix is also generated through the algorithm. Such concurrence matrices are known to lead to efficient designs. There is demand by the administrators and policy planners for reliable estimates of various parameters at the micro level. In this era of decentralization, the thrust of planning process has shifted from macro to micro level. In view of the demands of modern time, the thrust of research efforts has also shifted to development of precise estimators on small area inference using survey weights. The Pseudo empirical best linear unbiased prediction (Pseudo-EBLUP) approach overcomes this limitation by using sample weights and also leads to design consistent small area estimator. The Pseudo empirical best linear unbiased prediction (Pseudo-EBLUP) approach is used to develop design consistent small area estimator. A web based software for calculating codon usage indices and multivariate analysis for gene expression identification has been developed. It has modules for user profile management, reading or uploading nucleotide sequences, calculation of codon usage indices, and multivariate analysis with graphical output. A link between Java and R statistical package through JRI interface has been developed. This system is accessible any time from arbitrary platforms through internet.