3 edition of GLIM 4 found in the catalog.
|Contributions||Numerical Algorithms Group.|
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It contains few typos, although the confusion of the less-than sign with the greater-than sign (p. 6 37) is particularly noticeable. The index is adequate but, given that this book will frequently be used as a reference manual, could be more detailed.
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Series: Oxford Statistical Science Series Volume: 4. By: This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it.
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Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modeling with generalized linear models with an emphasis on applications to.This volume constitutes the Proceedings of the joint meeting of GLIM89 and the 4th International Workshop on statistical Modelling, held in Trento, Italy, from 17 to 21 July The meeting aimed to bring together researchers interested in the development and application of generalized linear.