Synopsis
The principal aim of the book is an exposition of methods for the analysis of clustered observations; the secondary one is to provide substantive interest as a measure of uncertainty, quality, equity, or generally, as a summary of differences among experimental or observational units. Another goal is to make a balanced presentation of the advantages and limitations of these methods
The examples used for illustration of methods are not drawn exclusively from the social sciences. Although models are motivated mainly by social science problems, they are applicable in a variety of situations involving (imperfect) replication, such as repeated measurements, repeated experiments, logitudinal analysis, and analysis of covariance structures in general.
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Review
"A major strength is the interweaving of rather involvedmethodology with the analysis of interesting real-life applications. . .provides an interesting and concise introduction to much of the literature on random-effects modeling." --Journal of the American Statistical Association
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Random Coefficient Models
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ISBN 10: 0198522649
ISBN 13: 9780198522645
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Random Coefficient Models (Oxford Statistical Science Series)
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Random Coefficient Models (Oxford Statistical Science Series)
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Random Coefficient Models
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Random Coefficient Models (Oxford Statistical Science Series, 11)
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Clarendon Press, Oxford, 1993
ISBN 10: 0198522649
ISBN 13: 9780198522645
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Random Coefficient Models.
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Clarendon Press, Oxford, 1993
ISBN 10: 0198522649
ISBN 13: 9780198522645
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Random Coefficient Models (eng)
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Random Coefficient Models
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Random Coefficient Models (Hardcover)
Published by
Oxford University Press, Oxford, 1994
ISBN 10: 0198522649
ISBN 13: 9780198522645
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Hardcover. Condition: new. Hardcover. The principal aim of the book is an exposition of methods for the analysis of clustered observations; the secondary one is to provide substantive interest as a measure of uncertainty, quality, equity, or generally, as a summary of differences among experimental or observational units. Another goal is to make a balanced presentation of the advantages and limitations of these methodsThe examples used for illustration of methods are not drawnexclusively from the social sciences. Although models are motivated mainly by social science problems, they are applicable in a variety of situations involving (imperfect) replication, such as repeatedmeasurements, repeated experiments, logitudinal analysis, and analysis of covariance structures in general. A comprehensive account of linear regression models with random coefficients emphasising modelling and computational aspects. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780198522645