Multilevel Statistical Models [Kendall's Library of Statistics].
Language: English
Published by Arnold / Hodder Headline, London, 1997
Series: Book 229 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used
Seller: BOOKHOME SYDNEY, Annandale Sydney, NSW, AustraliaBOOKHOME SYDNEY
AbeBooks seller since January 14, 2000
Condition: Used
£ 10.60
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Add to basketItem description from seller
Hardback octavo, no jacket as issued, very good condition. 178 pp. Second edition. Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. Written by a leading British expert in the field of multilevel methodology. Illustrated throughout with real-life examples, explaining theoretical concepts. This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide.
Seller Inventory # 14986
- Title
- Multilevel Statistical Models [Kendall's Library of Statistics].
- Author
- Goldstein, Harvey.
- Publisher
- Arnold / Hodder Headline, London
- Publication year
- 1997
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0340595299
- ISBN 13
- 9780340595299
- Edition
- 2nd ed.
- Series
- Book 229 of 358: Wiley Series in Probability and Statistics
- Seller catalogs
- RESEARCH & STATISTICS
"Synopsis" may belong to another edition of this title.
Review
Because of the lucid style of writing interspersed with illustrative analysis of data sets, the book will be a valuable asset to anyone interested in the analysis of multileve highly structured data. (Ravi Sreenivasan 2004-05-10)
This book is well-organised and written in a lucid style. At times it is demanding, as it must be given the nature of the material. The tables and figues are carefully produced. Perhaps the most impressive feature of this book is its breadth of coverage, both in terms of different kinds of multilevel models, and in terms of different statistical methodologies and algorithms apllied to fit and interpret such models. Anyone with serious interests in hierarchical or multilevel modelling really ought to have this book on their shelf.
(Statistics in Medicine Volume 24 Number 13 2005-07-01)
"About the title" may belong to another edition of this title.
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