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.Contents:Towards a Non-subjective Bayesian Paradigm (J K Ghosh & T Samanta)Some Unifying Techniques in the Theory of Order Statistics (H A David)Parametrics to Nonparametrics: Extending Regression Models (A Sarkar)U Statistics and Mm Estimates (A Bose)Classification Invariance in Data Envelopment Analysis (L M Seiford & J Zhu)Information Theoretic Approach to Statistics (J N Kapur)Mean Square Error Estimation in Survey Sampling (A Chaudhuri)Linear Programming: Recent Advances (S K Sen)Local Search Heuristics for Combinatorial Optimization Problems (A K Mittal)and other articlesReadership: Researchers, academics and graduate students in probability & statistics and operations research.Key Features:Unlike most published books that use kinetic theory or treatments of density operator, this book utilizes the treatment of relativistic theory, e.g., covariant Wigner function, which is parallel to the classical methodNumerous topics are dealt with unique methods (e.g., covariant Wigner functions, etc.), in particular for the case of nuclear physics, quantum plasma physics, etc.