Uncertainty and optimality: probability, statistics, and operations research

This book deals with different modern topics in probability, statistics and operations research. It has been written lucidly in a novel way. Wherever necessary, the theory is explained in great detail, with suitable illustrations. Numerous references are given, so that young researchers who want to start their work in a particular area will benefit immensely from the book. The contributors are distinguished statisticians and operations research experts from all over the world.

Ch. 1. Towards a non-subjective Bayesian paradigm / J.K. Ghosh and T. Samanta -- ch. 2. On some problems of estimation for some stochastic partial differential equations / B.L.S. Prakasa Rao -- ch. 3. Some unifying techniques in the theory of order statistics / H.A. David -- ch. 4. Stochastic orderings among order statistics and sample spacings / B.-E. Khaledi and S. Kochar -- ch. 5. Parametrics to nonparametrics: extending regression models / A. Sarkar -- ch. 6. Testing goodness of fit of a specific parametric probability model / J.V. Deshpande and U.V. Naik-Nimbalkar -- ch. 7. U statistics and Mm estimates / A. Bose -- ch. 8. Parametric inference with generalized ranked set data / B.C. Arnold and R.J. Beaver -- ch. 9. Fisher information in the Farlie-Gumbel-Morgenstern type bivariate exponential distribution / H.N. Nagaraja and Z.A. Abo-Eleneen -- ch. 10. Classification invariance in data envelopment analysis / L.M. Seiford and J. Zhu -- ch. 11. A useful isometry for time reversible Markov chains, with applications to reliability / M. Brown -- ch. 12. Information theoretic approach to statistics / J.N. Kapur -- ch. 13. Mean square error estimation in survey sampling / A. Chaudhu…