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This is a second edition to the original published by Springer in 2006. The comprehensive volume takes a textbook approach systematically developing the field by starting from linear models and then moving up to generalized linear and non-linear mixed effects models.
Since the first edition was published the field has grown considerably in terms of maturity and technicality. The second edition of the book therefore considerably expands with the addition of three new chapters relating to Bayesian models, Generalized linear and nonlar mixed effects models, and Principles of simulation. In addition, many of the other chapters have been expanded and updated.The PDF is delivered as soon as your payment clears, day or night.
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