Mixed Models for Data Analysts

Mixed Models for Data Analysts

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Mixed model methods are useful in a variety of applications, including medicine, biostatistics, and agriculture. "Mixed Models for Data Analysts" balances theory and practice to illustrate and demonstrate mixed model methodology. The authors, all highly regarded researchers in the field, demonstrate the strength of the mixed model approach through numerous examples using S-PLUS and other computer packages. Integration of theory with "how to do it," interesting, real data sets from wide-ranging applications, and computer code available on the Internet make this a valuable guide for researchers and practitioners interested in using linear mixed models.show more

Product details

  • Hardback | 288 pages
  • Taylor & Francis Inc
  • CRC Press Inc
  • Bosa Roca, United States
  • English
  • 1584882603
  • 9781584882602

Table of contents

An Overview of Linear Models. Linear Mixed Models. Multistratum Analysis of Variance. Random Coefficients. Nonlinear Models. Spatial Analysis of a Field Experiment. Mutivariate Spatial Analysis. Analysis of a Series of Field Experiments. LongitudinalData Analysis. Extensions to Non-Normal Data. Markov Chain Monte Carlo Methods.show more