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Theory and Applications of Sequential Nonparametrics
A study of sequential nonparametric methods emphasizing the unified Martingale approach to the theory, with a detailed explanation of major applications including problems arising in clinical trials, life-testing experimentation, survival analysis, classical sequential analysis and other areas of applied statistics and biostatistics.
Denying Existence
From the true statement that Emma Bovary did not exist, does it follow that there was someone who did not exist? The first woman to be born in the 21st century does not yet exist, but is she as unreal as Emma Bovary? Chakrabarti (U. of Delhi) offers solutions to these and other singular existence negation problems. He suggests that the problems cannot be solved by distinguishing between full-blooded and nominal existence and that the attempt to find solutions involves us in a variety of language games. Name index only. Annotation copyrighted by Book News, Inc., Portland, OR
Research in Progress
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Large Sample Methods in Statistics (1994)
This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications.
Constrained Statistical Inference
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range ...
Universals, Concepts and Qualities
Are there universal properties grounding our sense of resemblance or qualitative identity among a number of distinct things or events which appear to form a class, a type or a kind of some other sort? Do universals such as humanness, triangularity, or being an oak exist? Is being a laptop computer a universal which has only recently come into existence? Do predicate expressions, adjectives or abstract nouns refer to objective properties or cognitive contents called concepts? The problem of universals has been at the centre of ancient, medieval, Western and Indian metaphysics. After the logico-linguistic turn in philosophy, this problem re-surfaced in the discourse on the meaning of predicate...
Sequential Estimation
The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important...
Robust Statistical Procedures
A broad and unified methodology for robust statistics—with exciting new applications Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians. This innovative book unifies the many varied, yet related, concepts of robust statistics under a sound theoretical modulation. It seamlessly integrates asymptotics and interrelations, and provides statisticians with an effective system for dealing with the interrelations between the various classes of procedures. Drawing on the expertise of resear...
From Finite Sample to Asymptotic Methods in Statistics
A broad view of exact statistical inference and the development of asymptotic statistical inference.
