Handbook of Multilevel Analysis

Handbook of Multilevel Analysis

von: Jan Deleeuw, Erik Meijer

Springer-Verlag, 2007

ISBN: 9780387731865 , 494 Seiten

Format: PDF, OL

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX Apple iPad, Android Tablet PC's Online-Lesen für: Windows PC,Mac OSX,Linux

Preis: 178,49 EUR

  • Stochastic Control in Insurance
    Nonsmooth Vector Functions and Continuous Optimization
    Geometric Group Theory - Geneva and Barcelona Conferences
    Multiscale Modeling - A Bayesian Perspective
    Logica Universalis - Towards a General Theory of Logic
    Expounding the Mathematical Seed. Vol. 2: The Supplements - A Translation of Bh?skara I on the Mathematical Chapter of the ?ryabhat?ya
  • All of Nonparametric Statistics
    High Performance Computing on Vector Systems 2007
    Standard Monomial Theory - Invariant Theoretic Approach
    Mathematical Survey Lectures 1943-2004
    Stochastic Global Optimization
    Algebraic Theory of Locally Nilpotent Derivations
 

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Handbook of Multilevel Analysis


 

This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.