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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$ 180.00

    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...

  • How Many Licks?by Aaron Santos

    Running Press 2009; US$ 14.95

    Close Enough Is Finally Good Enough! more...

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

    Diplomica Verlag 2010; US$ 12.03

    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...

  • An Introduction to Bootstrap Methods with Applications to Rby Michael R. Chernick; Robert A. LaBudde

    Wiley 2014; US$ 118.00

    A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully... more...

  • Multivariate Density Estimationby David W. Scott

    Wiley 2015; US$ 115.00

    Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory... more...

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

    Wiley 2005; US$ 123.00

    Carl-Erik Särndal , Ph.D., is Consultant to National Statistical Agencies and was formerly Professor, Université de Montréal. He is the author, or a co-author, of many articles on survey sampling theory and applications. Sixten Lundström , Ph.D., is Senior Methodological Adviser, Department of Population and Welfare Statistics,... more...

  • Empirical Likelihoodby Art B. Owen

    CRC Press 2001; US$ 125.95

    EMPIRICAL LIKELIHOOD (EL) Introduction Empirical Distribution Function Nonparametric Maximum Likelihood Nonparametric Likelihood Ratios Ties in the Data Multinomial on the Sample EL for a Univariate Mean Coverage Accuracy Power and Efficiency Empirical versus Parametric Inferences Computing the Empirical Likelihood EL FOR RANDOM VECTORS NPMLE for Random... 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$ 162.00

    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...