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Error analysis (Mathematics)

Most popular at the top

  • Dealing with Uncertaintiesby Manfred Drosg

    Springer 2007; US$ 89.95

    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...

  • Handbook of Partial Least Squaresby Vincenzo Esposito Vinzi; Wynne W. Chin; Jörg Henseler

    Springer 2010; US$ 479.00

    This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results.... more...

  • Generalized Least Squaresby Takeaki Kariya; Hiroshi Kurata

    Wiley 2004; US$ 181.00

    Generalised Least Squares adopts a concise and mathematically rigorous approach.  It will provide an up-to-date self-contained introduction to the unified theory of generalized least squares estimations, adopting a concise and mathematically rigorous approach. The book covers in depth the 'lower and upper bounds approach', pioneered by the first... more...

  • A Posteriori Error Analysis via Duality Theoryby Weimin Han

    Springer-Verlag New York Inc 2006; US$ 199.00

    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...

  • Error Calculus for Finance and Physicsby Nicolas Bouleau

    De Gruyter 2003; US$ 147.00

    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 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...

  • 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...

  • Dealing with Databy Arthur J. Lyon; W. Ashhurst

    Elsevier Science 2013; US$ 72.95

    Dealing with Data is an introductory course to problems and techniques dealing with data analysis, with emphasis on the physical and engineering sciences. The book starts with the basics of data analysis through non-statistical and non-mathematical assessments of error and uncertainty conditions. Experimental and maximum errors and the use of simple... more...

  • Measurement Error and Misclassification in Statistics and Epidemiologyby Paul Gustafson

    Taylor and Francis 2003; US$ 129.95

    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...