Abstract

Some new construction methods of the optimum chemical balance weighing designs and pairwise efficiency and variance balanced designs are proposed, which are based on the incidence matrices of the known symmetric balanced incomplete block designs. Also the conditions under which the constructed chemical balance weighing designs become A-optimal are also been given.

Highlights

  • In that series we propose another new construction methods of obtaining optimum chemical balance weighing designs using the incidence matrices of symmetric balanced incomplete block designs and some more pairwise efficiency as well as variance balanced designs are proposed

  • If the SBIB design exists with parameters ν= b= N, r= k= ( N ± d ) 2, λ = ( N ± 2d +1) 4 ; the design matrix N∗1 so formed using above method is optimum chemical balance weighing design

  • If the SBIB design exists with block size r ≤ 6 and λ ≤ 5 ; the design matrix X so formed using above method II is optimum chemical balance weighing design

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Summary

Introduction

Awad et al [25] [26] gave the construction methods of obtaining optimum chemical balance weighing designs using the incidence matrices of symmetric balanced incomplete block designs and some pairwise balanced designs were been obtained which were efficiency as well as variance balanced. In that series we propose another new construction methods of obtaining optimum chemical balance weighing designs using the incidence matrices of symmetric balanced incomplete block designs and some more pairwise efficiency as well as variance balanced designs are proposed. In chemical balance weighing ( ) design, the elements of design matrix X = xij takes the values as +1 if the jth object is placed in the left pan in the ith weighing, −1 if the jth object is placed in the right pan in the ith weighing and 0 if the jth object is not weighted in the ith weighing.

Variance Limit of Estimated Weights
Method I
Method II
A-Optimality of Chemical Balance Weighing Design
Checking the A-Optimality in Methods I and II
Conclusion

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