Multilevel Statistical Models: Edition 4

¡ John Wiley & Sons
ā§Ē.ā§Ļ
ā§¨āĻŸāĻŋ āĻ°āĻŋāĻ­āĻŋāĻ‰
āĻ‡-āĻŦā§āĻ•
384
āĻĒā§ƒāĻˇā§āĻ āĻž
āĻ°ā§‡āĻŸāĻŋāĻ‚ āĻ“ āĻ°āĻŋāĻ­āĻŋāĻ‰ āĻ¯āĻžāĻšāĻžāĻ‡ āĻ•āĻ°āĻž āĻšā§ŸāĻ¨āĻŋ  āĻ†āĻ°āĻ“ āĻœāĻžāĻ¨ā§āĻ¨

āĻāĻ‡ āĻ‡-āĻŦā§āĻ•ā§‡āĻ° āĻŦāĻŋāĻˇā§Ÿā§‡

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. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models.

Key Features:

  • Provides a clear introduction and a comprehensive account of multilevel models.
  • New methodological developments and applications are explored.
  • Written by a leading 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. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial.

āĻ°ā§‡āĻŸāĻŋāĻ‚ āĻ“ āĻĒāĻ°ā§āĻ¯āĻžāĻ˛ā§‹āĻšāĻ¨āĻžāĻ—ā§āĻ˛āĻŋ

ā§Ē.ā§Ļ
ā§¨āĻŸāĻŋ āĻ°āĻŋāĻ­āĻŋāĻ‰

āĻ˛ā§‡āĻ–āĻ• āĻ¸āĻŽā§āĻĒāĻ°ā§āĻ•ā§‡

Harvey Goldstein, Professor of social sciences, University of Bristol and Associate Editor for the Statistical Modelling Journal, and previous Editor of the Royal Statistical Society's Journal, Series A.

āĻ‡-āĻŦā§āĻ•ā§‡ āĻ°ā§‡āĻŸāĻŋāĻ‚ āĻĻāĻŋāĻ¨

āĻ†āĻĒāĻ¨āĻžāĻ° āĻŽāĻ¤āĻžāĻŽāĻ¤ āĻœāĻžāĻ¨āĻžāĻ¨āĨ¤

āĻĒāĻ āĻ¨ āĻ¤āĻĨā§āĻ¯

āĻ¸ā§āĻŽāĻžāĻ°ā§āĻŸāĻĢā§‹āĻ¨ āĻāĻŦāĻ‚ āĻŸā§āĻ¯āĻžāĻŦāĻ˛ā§‡āĻŸ
Android āĻāĻŦāĻ‚ iPad/iPhone āĻāĻ° āĻœāĻ¨ā§āĻ¯ Google Play āĻŦāĻ‡ āĻ…ā§āĻ¯āĻžāĻĒ āĻ‡āĻ¨āĻ¸ā§āĻŸāĻ˛ āĻ•āĻ°ā§āĻ¨āĨ¤ āĻāĻŸāĻŋ āĻ†āĻĒāĻ¨āĻžāĻ° āĻ…ā§āĻ¯āĻžāĻ•āĻžāĻ‰āĻ¨ā§āĻŸā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻ…āĻŸā§‹āĻŽā§‡āĻŸāĻŋāĻ• āĻ¸āĻŋāĻ™ā§āĻ• āĻšā§Ÿ āĻ“ āĻ†āĻĒāĻ¨āĻŋ āĻ…āĻ¨āĻ˛āĻžāĻ‡āĻ¨ āĻŦāĻž āĻ…āĻĢāĻ˛āĻžāĻ‡āĻ¨ āĻ¯āĻžāĻ‡ āĻĨāĻžāĻ•ā§āĻ¨ āĻ¨āĻž āĻ•ā§‡āĻ¨ āĻ†āĻĒāĻ¨āĻžāĻ•ā§‡ āĻĒā§œāĻ¤ā§‡ āĻĻā§‡ā§ŸāĨ¤
āĻ˛ā§āĻ¯āĻžāĻĒāĻŸāĻĒ āĻ“ āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ°
Google Play āĻĨā§‡āĻ•ā§‡ āĻ•ā§‡āĻ¨āĻž āĻ…āĻĄāĻŋāĻ“āĻŦā§āĻ• āĻ†āĻĒāĻ¨āĻŋ āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ°ā§‡āĻ° āĻ“ā§Ÿā§‡āĻŦ āĻŦā§āĻ°āĻžāĻ‰āĻœāĻžāĻ°ā§‡ āĻļā§āĻ¨āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡āĻ¨āĨ¤
eReader āĻāĻŦāĻ‚ āĻ…āĻ¨ā§āĻ¯āĻžāĻ¨ā§āĻ¯ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸
Kobo eReaders-āĻāĻ° āĻŽāĻ¤ā§‹ e-ink āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡ āĻĒāĻĄāĻŧāĻ¤ā§‡, āĻ†āĻĒāĻ¨āĻžāĻ•ā§‡ āĻāĻ•āĻŸāĻŋ āĻĢāĻžāĻ‡āĻ˛ āĻĄāĻžāĻ‰āĻ¨āĻ˛ā§‹āĻĄ āĻ“ āĻ†āĻĒāĻ¨āĻžāĻ° āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡ āĻŸā§āĻ°āĻžāĻ¨ā§āĻ¸āĻĢāĻžāĻ° āĻ•āĻ°āĻ¤ā§‡ āĻšāĻŦā§‡āĨ¤ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ°āĻ•āĻžāĻ°ā§€āĻ° āĻ‰āĻĻā§āĻĻā§‡āĻļā§āĻ¯ā§‡ āĻ¤ā§ˆāĻ°āĻŋ āĻ¸āĻšāĻžā§ŸāĻ¤āĻž āĻ•ā§‡āĻ¨ā§āĻĻā§āĻ°āĻ¤ā§‡ āĻĻā§‡āĻ“ā§ŸāĻž āĻ¨āĻŋāĻ°ā§āĻĻā§‡āĻļāĻžāĻŦāĻ˛ā§€ āĻ…āĻ¨ā§āĻ¸āĻ°āĻŖ āĻ•āĻ°ā§‡ āĻ¯ā§‡āĻ¸āĻŦ eReader-āĻ āĻĢāĻžāĻ‡āĻ˛ āĻĒāĻĄāĻŧāĻž āĻ¯āĻžāĻŦā§‡ āĻ¸ā§‡āĻ–āĻžāĻ¨ā§‡ āĻŸā§āĻ°āĻžāĻ¨ā§āĻ¸āĻĢāĻžāĻ° āĻ•āĻ°ā§āĻ¨āĨ¤