{"product_id":"new-statistics-with-r-an-introduction-for-biologists","title":"NEW STATISTICS WITH R: AN INTRODUCTION FOR BIOLOGISTS","description":"\u003ch3\u003eBook Details\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u003c\/strong\u003e: Andy Hector\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Oxford University Press\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEdition\u003c\/strong\u003e: Illustrated\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBinding\u003c\/strong\u003e: Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eISBN\u003c\/strong\u003e: 9780198729068\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePages\u003c\/strong\u003e: 224\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRelease Date\u003c\/strong\u003e: 29-01-2015\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e: 9.4 x 6.5 x 0.6 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLanguages\u003c\/strong\u003e: English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eAbout the Book\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eThe New Statistics with R\u003c\/em\u003e\u003c\/strong\u003e offers an approachable introduction to statistical methods, with a focus on \u003cstrong\u003elinear model analysis\u003c\/strong\u003e, which is pivotal in scientific data analysis across various disciplines, especially in \u003cstrong\u003ebiology\u003c\/strong\u003e, \u003cstrong\u003eecology\u003c\/strong\u003e, \u003cstrong\u003eevolution\u003c\/strong\u003e, and \u003cstrong\u003eenvironmental science\u003c\/strong\u003e. This book emphasizes an \u003cstrong\u003eestimation-based approach\u003c\/strong\u003e, addressing recent criticisms of \u003cstrong\u003eprobability values\u003c\/strong\u003e and introducing \u003cstrong\u003ealternative methods\u003c\/strong\u003e through \u003cstrong\u003einformation criteria\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eThe book’s structure reflects \u003cstrong\u003eAndy Hector's\u003c\/strong\u003e 20 years of teaching experience in the field, making complex statistical techniques accessible for both \u003cstrong\u003eundergraduate and graduate students\u003c\/strong\u003e, as well as \u003cstrong\u003eprofessional researchers\u003c\/strong\u003e. It uses \u003cstrong\u003eR\u003c\/strong\u003e, an open-source programming language for statistics and graphics, which has become the standard tool in modern scientific data analysis. Real-world data sets from \u003cstrong\u003eecology\u003c\/strong\u003e, \u003cstrong\u003eevolutionary biology\u003c\/strong\u003e, and \u003cstrong\u003eenvironmental science\u003c\/strong\u003e are used throughout, offering practical examples that help readers apply their learning directly to the data sets they may encounter in their own research.\u003c\/p\u003e\n\u003cp\u003eWith its \u003cstrong\u003eclear explanations\u003c\/strong\u003e, \u003cstrong\u003estep-by-step worked analyses\u003c\/strong\u003e, and accessible style, this book is perfect for those looking to enhance their statistical skills without getting bogged down in overly technical mathematics. Moreover, \u003cstrong\u003esupport materials\u003c\/strong\u003e, including \u003cstrong\u003edata sets\u003c\/strong\u003e and \u003cstrong\u003eR scripts\u003c\/strong\u003e, are available through the author’s website, helping readers further engage with the content and practice their skills.\u003c\/p\u003e\n\u003ch3\u003e\n\u003cstrong\u003eKey Features\u003c\/strong\u003e:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eContemporary introduction\u003c\/strong\u003e to classical and modern statistical techniques.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eFocus on \u003cstrong\u003elinear model analysis\u003c\/strong\u003e, a core tool for life and environmental scientists.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eCritiques the \u003cstrong\u003eover-use of probability values\u003c\/strong\u003e and introduces \u003cstrong\u003einformation criteria\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eWorked analyses in R\u003c\/strong\u003e using real data from \u003cstrong\u003eecology\u003c\/strong\u003e, \u003cstrong\u003eevolution\u003c\/strong\u003e, and \u003cstrong\u003eenvironmental science\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAvailable \u003cstrong\u003esupport material\u003c\/strong\u003e (data sets, R scripts) for practical use.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThis book is essential for \u003cstrong\u003esenior undergraduate students\u003c\/strong\u003e, \u003cstrong\u003egraduate researchers\u003c\/strong\u003e, and \u003cstrong\u003epractitioners\u003c\/strong\u003e in fields like \u003cstrong\u003eecology\u003c\/strong\u003e, \u003cstrong\u003eevolutionary biology\u003c\/strong\u003e, and \u003cstrong\u003ecomputational biology\u003c\/strong\u003e, who want to strengthen their statistical skills using R and contemporary methods.\u003c\/p\u003e","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":49966061551920,"sku":"Sarat_9780198729068","price":3386.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/oxford-university-press-book-default-title-new-statistics-with-r-an-introduction-for-biologists-41352199930160.jpg?v=1775960352","url":"https:\/\/www.retailmaharaj.com\/bn\/products\/new-statistics-with-r-an-introduction-for-biologists","provider":"Retail Maharaj","version":"1.0","type":"link"}