This book details the evolution of Bengali culture (in both Bangladesh and West Bengal) since antiquity and argues for its modernization. Originally peripheral to Hindu civilization based in North India, Bengali culture was subjected to various forms of Sanskritization. Centuries of invasions (1204-1757) resulted most notably in the Islamization of Bengal. Often there were conflicts between Sanskritization and Islamization. Later colonization of Bengal by Britain (1757) led to a process of Anglicization, which created a new middle class in Bengal that, in turn, created a form of elitism among the Bengali Hindu upper caste. After British rule ended (1947), Bengali culture lost its elitist status in South Asia and has undergone severe marginalization. Political instability and economic insufficiency, as reflected by many quantitative and qualitative indicators, are common and contribute to pervasive unemployment, alienation, vigilantism, and instability in the entire region. A Story of Ambivalent Modernization in Bangladesh and West Bengal is appropriate not only for Bengali intellectuals and scholars but for sociologists, political scientists, cultural anthropologists, historians, and others interested in a case study of how and why a given culture becomes derailed from its path toward modernization.
The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Asymptotic Methods Nonparametrics Convergence of Probability Measures Statistical Inference
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