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Sökresultat - Oxford Statistical Science Series

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  • Procrustes Problems

    Procrustes Problems
    av John C Gower

    Inbunden - 2004 - Engelska - ISBN: 9780198510581

    Procrustean methods are used to transform one set of data to represent another set of data as closely as possible. The name derives from the Greek myth where Procrustes invited passers-by in for a pleasant meal and a night's rest on a magical bed th…

  • Principles of Multivariate Analysis

    Principles of Multivariate Analysis
    av Wojtek Krzanowski

    Häftad - 2000 - Engelska - ISBN: 9780198507086

    This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. Th…

  • Analysis of Longitudinal Data

    Analysis of Longitudinal Data
    av Peter Diggle

    Häftad - 2013 - Engelska - ISBN: 9780199676750

    The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a…

  • Statistical Modelling in R

    Statistical Modelling in R
    av Murray Aitkin

    Inbunden - 2009 - Engelska - ISBN: 9780199219148

    R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can b…

  • The Statistical Evaluation of Medical Tests for Classification and Prediction

    The Statistical Evaluation of Medical Tests for Classification and Prediction
    av Margaret Sullivan Pepe

    Häftad - 2004 - Engelska - ISBN: 9780198565826

    This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outco…

  • The Statistical Evaluation of Medical Tests for Classification and Prediction

    The Statistical Evaluation of Medical Tests for Classification and Prediction
    av Margaret Sullivan Pepe

    Inbunden - 2003 - Engelska - ISBN: 9780198509844

    The use of clinical and laboratory information to detect conditions and predict patient outcomes is a mainstay of medical practice. Modern biotechnology offers increasing potential to develop sophisticated tests for these purposes. This book describ…

  • Plots, Transformations, and Regression

    Plots, Transformations, and Regression
    av A. C. Atkinson

    Häftad - 1987 - Engelska - ISBN: 9780198533719

    `Repression diagnostics are a collection of methods used to find (diagnose) unusual features in a regression problem.`Although informal diagnostics have a long and respectable history, it is only in the last fifteen years or so that they have been s…

  • Smooth Tests of Goodness of Fit

    Smooth Tests of Goodness of Fit
    av J. C. W. Rayner

    Inbunden - 1989 - Engelska - ISBN: 9780195056105

    Goodness of fit describes the validity of models involving statistical distribution of data, and smooth tests are a subset of these tests which are easy to apply and can be used in any situation in which there are relatively large sample sizes. Both…

  • Optimum Experimental Designs, With SAS

    Optimum Experimental Designs, With SAS
    av Anthony Atkinson

    Häftad - 2007 - Engelska - ISBN: 9780199296606

    Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through…

  • Numerical Methods for Nonlinear Estimating Equations

    Numerical Methods for Nonlinear Estimating Equations
    av Christopher G. Small

    Inbunden - 2003 - Engelska - ISBN: 9780198506881

    Nonlinearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the…