{"product_id":"9781441903174","title":"Mixed-Effects Models in S and S-PLUS","description":"\u003cp\u003eThis paperback edition is a reprint of the 2000 edition.\u003c\/p\u003e\u003cp\u003eThis book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. A unified model-building strategy for both linear and nonlinear models is presented and applied to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. A strong emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. Over 170 figures areincluded in the book.\u003c\/p\u003e\u003cp\u003eThe NLME package for analyzing mixed-effects models in R and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented in the text, being described and illustrated in detail throughout the book.\u003c\/p\u003e\u003cp\u003eThe balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners using mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models. Researchers in statistical computing will also find this book appealing for its presentation of novel and efficient computational methods for fitting linear and nonlinear mixed-effects models.\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47042991292656,"sku":"9781441903174","price":119.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781441903174_p0.jpg?v=1763796395","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781441903174","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}