{"title":"Julian J. Faraway","description":"\u003cp\u003eJulian J. Faraway specialises in educational texts that explore advanced statistical methods and their practical applications. His works, such as \u003cem\u003eExtending the Linear Model with R\u003c\/em\u003e, offer clear guidance for readers seeking to deepen their understanding of linear modelling and data analysis using the R programming language.\u003c\/p\u003e\n\n\u003cp\u003eIdeal for students and professionals in statistics and related fields, Faraway’s books combine rigorous theory with accessible examples, making complex concepts more approachable. His contributions are a valuable resource for those wanting to enhance their statistical modelling skills in real-world contexts.\u003c\/p\u003e","products":[{"product_id":"extending-the-linear-model-with-r-by-julian-j-faraway-9781498720960","title":"Extending the Linear Model with R","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eStart Analysing a Wide Range of Problems\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cp\u003eSince the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. \u003cem\u003eExtending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition\u003c\/em\u003e takes advantage of the greater functionality now available in R and substantially revises and adds several topics.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eNew to the Second Edition\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eExpanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models.\u003c\/li\u003e\n    \u003cli\u003eNew sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalised linear models (GLMs).\u003c\/li\u003e\n    \u003cli\u003eRevised chapters on random effects and repeated measures that reflect changes in the lme4 package, showing how to perform hypothesis testing for the models using other methods.\u003c\/li\u003e\n    \u003cli\u003eNew chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA.\u003c\/li\u003e\n    \u003cli\u003eRevised chapter on generalised linear mixed models to reflect the much richer choice of fitting software now available.\u003c\/li\u003e\n    \u003cli\u003eUpdated coverage of splines and confidence bands in the chapter on nonparametric regression.\u003c\/li\u003e\n    \u003cli\u003eNew material on random forests for regression and classification.\u003c\/li\u003e\n    \u003cli\u003eRevamped R code throughout, particularly the many plots using the ggplot2 package.\u003c\/li\u003e\n    \u003cli\u003eRevised and expanded exercises with solutions now included.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cem\u003eDemonstrates the Interplay of Theory and Practice\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cp\u003eThis textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605684666604,"sku":"9781498720960","price":217.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781498720960-extending-the-linear-model-with-r.jpg?v=1778138854"}],"url":"https:\/\/bookhero.co.nz\/collections\/julian-j-faraway.oembed","provider":"Book Hero","version":"1.0","type":"link"}