Introduction to Mixed Modelling – Beyond Regression and Analysis of Variance 2e
Introduction to Mixed ModellingBeyond Regression and Analysis of Variance\nAuthor(s): N. W. Galwey\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9781119945499, 978-1119945499\nSynopsis\nMixed modelling is very useful, and easier than you think!\n\n Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained.\n\n Introduction to Mixed Modellingleads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts.\n\n Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the iden7
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