Multilevel Statistical Models
Language: English
Published by Hodder Arnold, 1995
Series: Book 229 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
AbeBooks seller since March 23, 2026
Condition: Used - Good
£ 12.36
Quantity: 1 available
Add to basketItem description from seller
This text describes techniques developed in the early 1990s which introduce a more systematic approach to the statistical modelling and analysis of hierarchically structured data. The book discusses, and expands on, the core set of established techniques, experience and software packages, which are becoming more commonly used in areas such as education, epidemiology, geography, child growth and household surveys. The second edition aims to integrate existing methodological developments, within a consistent terminology and notation, and avoids undue statistical complexity. Methodological derivations are provided in the appendices and examples and diagrams are used to illustrate the applications of techniques. It explains a number of new developments, especially in the areas of discrete response data, time series models, random cross classifications, errors of measurement, missing data and nonlinear models. This book is suitable for postgraduate courses and as a general reference tool and as such is extensively referenced.…
Seller Inventory # CIN0340595299G
- Title
- Multilevel Statistical Models
- Author
- Harvey Goldstein
- Publisher
- Hodder Arnold
- Publication year
- 1995
- Condition
- Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0340595299
- ISBN 13
- 9780340595299
- Edition
- 2nd Edition
- Series
- Book 229 of 358: Wiley Series in Probability and 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.
World of Books Inc
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