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The Em Algorithm and Related Statistical Modelsby Michiko Watanabe; Kazunori Yamaguchi
Marcel Dekker Inc 2003; US$ 89.95This text provides a comprehensive description of a method of constructing a statistical model when only incomplete data is available. It then proposes specific estimation algorithms for solving various individual incomplete data problems. more...
Estimation in Surveys with Nonresponseby Sä; Carl-Erik rndal; Lundströ; Sixten m
John Wiley & Sons, Ltd. 2005; US$ 110.00Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed. Estimation in Surveys with Nonresponse provides an overview of these techniques, presenting the view of nonresponse as a normal (albeit undesirable) feature of a sample survey, one whose potentially... more...
Empirical Likelihoodby Art B. Owen
CRC Press 2001; US$ 89.95A presentation of empirical likelihood - a nonparametric method for constructing confidence regions and testing hypotheses. It applies empirical likelihood on problems as simple as setting a confidence region for a univariate mean under IID sampling, to problems of statistics. more...
Theory of Preliminary Test and Stein-Type Estimation with Applicationsby A. K. Md. Ehsanes Saleh
John Wiley & Sons, Inc. 2006; US$ 161.00Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for graduate students, practitioners, and researchers in various fields, such as statistics, engineering, social sciences, and medical sciences. Coverage of the material is designed as a first step in improving the estimates before applying full Bayesian methodology, while problems at the end of each chapter enlarge the scope of the applications. This book contains clear and detailed coverage of basic terminology related to various topics, including: * Simple linear model;... more...
Introduction to Robust Estimation and Hypothesis Testingby Rand R. Wilcox
Elsevier 2004; US$ 121.00This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance... more...
Parameter Estimation and Inverse Problemsby Richard C. Aster; Brian Borchers; Clifford H. Thurber
Elsevier 2004; US$ 103.00Parameter Estimation and Inverse Problems primarily serves as a textbook for advanced undergraduate and introductory graduate courses. Class notes have been developed and reside on the World Wide Web for faciliting use and feedback by teaching colleagues. The authors' treatment promotes an understanding of fundamental and practical issus associated with parameter fitting and inverse problems including basic theory of inverse problems, statistical issues, computational issues, and an understanding of how to analyze the success and limitations of solutions to these probles. The text is also a practical resource for general students and professional researchers, where techniques and concepts can be readily picked up on a chapter-by-chapter... more...
Bootstrap Methodsby Michael R. Chernick
John Wiley & Sons, Inc. 2008; US$ 146.00A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods , Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a... more...
The EM Algorithm and Extensionsby Geoffrey J. McLachlan; Thriyambakam Krishnan
John Wiley & Sons, Inc. 2007; US$ 137.00The only single-source——now completely updated and revised——to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and... more...
Restricted Parameter Space Estimation Problemsby Constance Eeden
Springer 2006; US$ 98.00Contains a review of 50 years of results on questions of admissibility and minimaxity of estimators of parameters that are restricted to closed convex subsets of Rk. This book gives an overview of known algorithms for computing maximum likelihood estimators under order-restrictions. It is intended for researchers and graduate students. more...
Semiparametric Theory and Missing Databy Anastasios A. Tsiatis
Springer 2006; US$ 99.00Missing data arise in almost all scientific disciplines. In many cases, missing data in an analysis is treated in a casual and ad-hoc manner, leading to invalid inferences and erroneous conclusions. This book summarizes knowledge regarding the theory of estimation for semiparametric models with missing data. more...









