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Estimation theory

Most popular at the top

  • Theory of Preliminary Test and Stein-Type Estimation with Applicationsby A. K. Md. Ehsanes Saleh

    Wiley 2006; US$ 174.00

    Theory 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... more...

  • Bootstrap-Verfahren bei der Berechnung von Prognosen in (G)ARCH-Modellenby Marianna Jaskewitz

    Diplomica Verlag 2010; US$ 14.63

    In dieser Studie wurde untersucht, wie das Bootstrapping bei der Prognoseberechnung mit Hilfe von GARCH- und ARMA-GARCH-Modellen eingesetzt werden kann. Das Augenmerk der Studie gilt der Anwendung der (G)ARCH-Modelle zur Vorhersage der Renditen der auf den Finanzmärkten notierten Vermögenswerte. Die Untersuchung ist wie folgt aufgebaut: Der Einleitung,... more...

  • How Many Licks?by Aaron Santos

    Running Press 2009; US$ 14.95

    Close Enough Is Finally Good Enough! more...

  • Estimation in Surveys with Nonresponseby ; Carl-Erik rndal; Lundströ; Sixten m

    Wiley 2005; US$ 119.00

    Around 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... more...

  • Empirical Likelihoodby Art B. Owen

    Taylor and Francis 2001; US$ 119.95

    Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It also... more...

  • Introduction to Robust Estimation and Hypothesis Testingby Rand R. Wilcox

    Elsevier Science 2005; US$ 124.95

    This 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... more...

  • Bootstrap Methodsby Michael R. Chernick

    Wiley 2011; US$ 157.00

    A 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,... more...

  • Restricted Parameter Space Estimation Problemsby Constance Eeden

    Springer 2006; US$ 169.00

    Contains 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 2007; US$ 169.00

    Missing 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...

  • Introduction to Nonparametric Estimationby Alexandre B. Tsybakov

    Springer 2009; US$ 129.00

    Presents basic nonparametric regression and density estimators and analyzes their properties. This book covers minimax lower bounds, and develops advanced topics such as: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity. more...