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Error analysis (Mathematics)

  • Measurement Errors in Surveysby Paul P. Biemer; Robert M. Groves; Lars E. Lyberg; Nancy A. Mathiowetz; Seymour Sudman

    Wiley 2011; US$ 170.00

    WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations... more...

  • Measurement Errorby Jane Binner; David Edgerton; Thomas Elger

    Emerald Group Publishing Limited 2009; US$ 134.95

    The conference, 'Measurement Error: Econometrics and Practice' was recently hosted by Aston University and organised jointly by researchers from Aston University and Lund University to highlight the enormous problems caused by measurement error in Economic and Financial data which often go largely unnoticed. Thanks to the sponsorship from Eurostat,... more...

  • Error Calculus for Finance and Physicsby Nicolas Bouleau

    De Gruyter 2003; US$ 133.00

    The book deals with propagation of errors on data through mathematical models with applications in finance and physics. It is interesting for scientists and practitioners when studying the sensitivity of their models to small changes in the hypotheses. The book differs from what is usually done in sensitivity analysis because it yields powerful new... more...

  • Measurement Errorby John P. Buonaccorsi

    Chapman & Hall/CRC 2010; US$ 94.95

    Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, "Measurement Error: Models, Methods, and Applications" provides an overview of the main techniques... more...

  • Dealing with Uncertaintiesby Manfred Drosg

    Springer 2007; US$ 69.99

    Showing that uncertainties are the consequence of modern science rather than of measurements and stressing the importance of the deductive approach to uncertainties, this monograph proposes and explains a fresh approach for the analysis of uncertainties. It also discusses the weakness of using statistical weights in regression analysis. more...

  • Measurement Error Modelsby Wayne A. Fuller

    Wiley 2009; US$ 210.00

    The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians,... more...

  • Generalized Gaussian Error Calculusby Michael Grabe

    Springer 2010; US$ 129.99

    The proposed book Generalized Gaussian Error Calculus addresses for the first time since 200 years a rigorous, complete and self-consistent revision of the Gaussian error calculus. Since experimentalists realized that measurements in general are burdened by unknown systematic errors, the classical, widespread used evaluation procedures scrutinizing... more...

  • Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustmentsby Paul Gustafson

    Taylor and Francis 2003; US$ 119.95

    Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassification... more...

  • A Posteriori Error Analysis via Duality Theoryby Weimin Han

    Springer-Verlag New York Inc 2006; US$ 129.99

    Provides a posteriori error analysis for mathematical idealizations in modeling boundary value problems, especially those arising in mechanical applications, and for numerical approximations of numerous nonlinear variational problems. Many examples are included to show the usefulness of the derived error estimates. more...