{"product_id":"9781032477626-smoothing-splines","title":"Smoothing Splines","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eMethods and Applications. \u003cp\u003eWith many real-world examples, this book shows how to apply the powerful methods of smoothing splines in practice. It covers basic smoothing spline models as well as more advanced models, such as spline smoothing with correlated random errors. It also presents methods for model selection and inference. The author makes the advanced smoothing spl\u003c\/p\u003e. \u003cp\u003eA general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. \u003cstrong\u003eSmoothing Splines: Methods and Applications\u003c\/strong\u003e covers basic smoothing spline models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eThe book provides unified frameworks for estimation, inference, and software implementation by using the general forms of nonparametric\/semiparametric, linear\/nonlinear, and fixed\/mixed smoothing spline models. The theory of reproducing kernel Hilbert space (RKHS) is used to present various smoothing spline models in a unified fashion. Although this approach can be technical and difficult, the author makes the advanced smoothing spline methodology based on RKHS accessible to practitioners and students. He offers a gentle introduction to RKHS, keeps theory at a minimum level, and explains how RKHS can be used to construct spline models.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSmoothing Splines\u003c\/strong\u003e offers a balanced mix of methodology, computation, implementation, software, and applications. It uses R to perform all data analyses and includes a host of real data examples from astronomy, economics, medicine, and meteorology. The codes for all examples, along with related developments, can be found on the book’s web page.\u003c\/p\u003e\n\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41084094054497,"sku":"9781032477626","price":53.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/31ce2be71c9c68fb269219a4718fb09c.jpg?v=1700640727","url":"https:\/\/www.rarewaves.com\/products\/9781032477626-smoothing-splines","provider":"Rarewaves.com","version":"1.0","type":"link"}