{"product_id":"computational-statistics-2","title":"Computational Statistics","description":"\u003cp\u003eSuitable for a compact course or self-study, \u003cstrong\u003eComputational Statistics: An Introduction to R\u003c\/strong\u003e illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing.\u003c\/p\u003e\u003cp\u003eThis introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R.\u003c\/p\u003e\u003cp\u003eAccessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54262232121688,"sku":"9781420086782","price":107.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781420086782.jpg?v=1777607126","url":"https:\/\/agendabookshop.com\/products\/computational-statistics-2","provider":"Agenda Bookshop","version":"1.0","type":"link"}