Published March, 2013
By Peter Diggle, Patrick Heagerty, Kung-Yee Liang and Scott Zeger
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

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Published January, 2012
By Ray Chambers, Robert Clark and Raymond L. Chambers
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.

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Published April, 2011
By Ludwig Fahrmeir and Thomas Kneib
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.

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Published January, 2009
By Murray Aitkin, Brian Francis, John Hinde and Ross Darnell
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

A comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory.

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Published January, 2009
By Murray Aitkin, Brian Francis, John Hinde and Ross Darnell
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

A comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory.

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Published May, 2007
By Anthony Atkinson, Alexander Donev and Randall Tobias
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

This text focuses on optimum experimental design using SAS, a powerful software package that provides a complete set of statistical tools including analysis of variance, regression, categorical data analysis, and multivariate analysis. SAS codes, results, plots, numerous figures and tables are provided, along with a fully supported website.

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Published May, 2007
By Anthony Atkinson, Alexander Donev and Randall Tobias
Publisher: Oxford University Press
Series: Oxford Statistical Science Series
Rating:
Availability: Available

This text focuses on optimum experimental design using SAS, a powerful software package that provides a complete set of statistical tools including analysis of variance, regression, categorical data analysis, and multivariate analysis. SAS codes, results, plots, numerous figures and tables are provided, along with a fully supported website.

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