{"product_id":"least-squares-data-fitting-with-applications-hardcover","title":"Least Squares Data Fitting with Applications - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePer Christian Hansen\u003c\/b\u003e (Author), \u003cb\u003eVíctor Pereyra\u003c\/b\u003e (Author), \u003cb\u003eGodela Scherer\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA lucid explanation of the intricacies of both simple and complex least squares methods.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eAs one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of \u003ci\u003eLeast Squares Data Fitting with Applications\u003c\/i\u003e is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues.\u003c\/p\u003e\u003cp\u003eIn a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Víctor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems.\u003c\/p\u003e\u003cp\u003eIncluded are\u003cbr\u003e- an overview of computational methods together with their properties and advantages\u003cbr\u003e- topics from statistical regression analysis that help readers to understand and evaluate the computed solutions\u003cbr\u003e- many examples that illustrate the techniques and algorithms\u003c\/p\u003e\u003cp\u003e\u003ci\u003eLeast Squares Data Fitting with Applications\u003c\/i\u003e can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePer Christian Hansen\u003c\/b\u003e is a professor of scientific computing at the Technical University of Denmark. \u003cb\u003eVíctor Pereyra\u003c\/b\u003e is a consulting professor of energy resources engineering at Stanford University and was a principal at Weidlinger Associates, Los Altos, California.\u003cb\u003e Godela Scherer\u003c\/b\u003e is a visiting research fellow in the Department of Mathematics at the University of Reading, United Kingdom, and a professor of scientific computing at the Universidad Simón Bolívar, Venezuela.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 328\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 8.9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 01, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47336858976505,"sku":"9781421407869","price":158.94,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/WmxITytaTlVtTXM5T3BITkJLVi94UT09.webp?v=1769671416","url":"https:\/\/bookscloud.io\/products\/least-squares-data-fitting-with-applications-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}