The only comprehensive guide to the theory and practice of one of
today's most important probabilistic techniques
The past 15 years have witnessed many significant advances in
sequential estimation, especially in the areas of three-stage and
nonparametric methodology. Yet, until now, there were no references
devoted exclusively to this rapidly growing statistical field.
Sequential Estimation is the first, single-source guide to the
theory and practice of both classical and modern sequential
estimation techniques--including parametric and nonparametric
methods. Researchers in sequential analysis will appreciate the
unified, logically integrated treatment of the subject, as well as
coverage of important contemporary procedures not covered in more
general sequential analysis texts, such as:
* Shrinkage estimation
* Empirical and hierarchical Bayes procedures
* Multistage sampling and accelerated sampling procedures
* Time-sequential estimation
* Sequential estimation in finite population sampling
* Reliability estimation and capture-recapture methodologies
leading to sequential tagging schemes
An indispensable resource for researchers in sequential
analysis, Sequential Estimation is an ideal graduate-level text as
well.
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