CDA-OPTIMUM DESIGN FOR PARAMETER ESTIMATION, MINIMIZING THE AVERAGE VARIANCE AND ESTIMATING THE AREA UNDER THE CURVE

Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2015, Vol 11, Issue 8

Abstract

The aim of this paper is to introduce a new compound optimum design named CDA, by combining the C-optimality, D-optimality, and A-optimality together. The significance of the proposed compound gains from that it can be used for parameter estimation, minimizing the average variance and model estimation simultaneously.

Authors and Affiliations

Mohamed Abd El-Monsef, Sally El-Sobky

Keywords

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  • EP ID EP651637
  • DOI 10.24297/jam.v11i8.1211
  • Views 153
  • Downloads 0

How To Cite

Mohamed Abd El-Monsef, Sally El-Sobky (2015). CDA-OPTIMUM DESIGN FOR PARAMETER ESTIMATION, MINIMIZING THE AVERAGE VARIANCE AND ESTIMATING THE AREA UNDER THE CURVE. JOURNAL OF ADVANCES IN MATHEMATICS, 11(8), 5573-5576. https://europub.co.uk/articles/-A-651637