{"product_id":"statistical-computation-for-environmental-sciences-in-r-lab-manual-for-models-for-ecological-data","title":"Statistical Computation for Environmental Sciences in R: Lab Manual for Models for Ecological Data","description":"\u003chr data-start=\"59\" data-end=\"62\"\u003e\n\u003cp data-start=\"64\" data-end=\"81\"\u003e\u003cstrong data-start=\"64\" data-end=\"81\"\u003eBook Details:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"83\" data-end=\"362\"\u003e\n\u003cli data-start=\"83\" data-end=\"128\"\u003e\n\u003cp data-start=\"85\" data-end=\"128\"\u003e\u003cstrong data-start=\"85\" data-end=\"99\"\u003ePublisher:\u003c\/strong\u003e Princeton University Press\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"129\" data-end=\"159\"\u003e\n\u003cp data-start=\"131\" data-end=\"159\"\u003e\u003cstrong data-start=\"131\" data-end=\"142\"\u003eAuthor:\u003c\/strong\u003e James S. Clark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"160\" data-end=\"185\"\u003e\n\u003cp data-start=\"162\" data-end=\"185\"\u003e\u003cstrong data-start=\"162\" data-end=\"175\"\u003eLanguage:\u003c\/strong\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"186\" data-end=\"213\"\u003e\n\u003cp data-start=\"188\" data-end=\"213\"\u003e\u003cstrong data-start=\"188\" data-end=\"197\"\u003eISBN:\u003c\/strong\u003e 9780691122625\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"214\" data-end=\"232\"\u003e\n\u003cp data-start=\"216\" data-end=\"232\"\u003e\u003cstrong data-start=\"216\" data-end=\"226\"\u003ePages:\u003c\/strong\u003e 152\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"233\" data-end=\"257\"\u003e\n\u003cp data-start=\"235\" data-end=\"257\"\u003e\u003cstrong data-start=\"235\" data-end=\"245\"\u003eCover:\u003c\/strong\u003e Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"258\" data-end=\"285\"\u003e\n\u003cp data-start=\"260\" data-end=\"285\"\u003e\u003cstrong data-start=\"260\" data-end=\"272\"\u003eEdition:\u003c\/strong\u003e Lab Manual\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"286\" data-end=\"318\"\u003e\n\u003cp data-start=\"288\" data-end=\"318\"\u003e\u003cstrong data-start=\"288\" data-end=\"305\"\u003eRelease Date:\u003c\/strong\u003e 03-06-2007\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"319\" data-end=\"362\"\u003e\n\u003cp data-start=\"321\" data-end=\"362\"\u003e\u003cstrong data-start=\"321\" data-end=\"336\"\u003eDimensions:\u003c\/strong\u003e 10.7 x 8.2 x 0.5 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"364\" data-end=\"383\"\u003e\u003cstrong data-start=\"364\" data-end=\"383\"\u003eAbout The Book:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-start=\"385\" data-end=\"713\"\u003e\u003cem data-start=\"385\" data-end=\"413\"\u003eModels for Ecological Data\u003c\/em\u003e by \u003cem data-start=\"417\" data-end=\"433\"\u003eJames S. Clark\u003c\/em\u003e is an essential guide for environmental scientists and ecologists seeking to navigate the revolution in the use of statistical models and data. This comprehensive text introduces modern modeling techniques and computational tools aimed at addressing complex ecological data sets.\u003c\/p\u003e\n\u003cp data-start=\"715\" data-end=\"1124\"\u003eThe book begins with an accessible introduction to maximum likelihood methods, gradually advancing to Bayesian modeling and computation. Clark's approach makes complex topics approachable, requiring only basic knowledge of calculus and statistics. It covers both classical statistical methods and newer computational tools, illustrating how increasing data complexity motivates a shift to Bayesian approaches.\u003c\/p\u003e\n\u003cp data-start=\"1126\" data-end=\"1139\"\u003eKey Features:\u003c\/p\u003e\n\u003cul data-start=\"1140\" data-end=\"1541\"\u003e\n\u003cli data-start=\"1140\" data-end=\"1209\"\u003e\n\u003cp data-start=\"1142\" data-end=\"1209\"\u003eA thorough treatment of classical and Bayesian statistical methods.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1210\" data-end=\"1291\"\u003e\n\u003cp data-start=\"1212\" data-end=\"1291\"\u003eClear explanations of underlying distribution theory and algorithm development.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1292\" data-end=\"1363\"\u003e\n\u003cp data-start=\"1294\" data-end=\"1363\"\u003ePractical examples and real-world applications to reinforce learning.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1364\" data-end=\"1445\"\u003e\n\u003cp data-start=\"1366\" data-end=\"1445\"\u003eA focus on data modeling using the R language, with an accompanying lab manual.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1446\" data-end=\"1541\"\u003e\n\u003cp data-start=\"1448\" data-end=\"1541\"\u003eNo advanced statistical background required; perfect for beginners and intermediate learners.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1543\" data-end=\"1793\"\u003e\u003cem data-start=\"1543\" data-end=\"1571\"\u003eModels for Ecological Data\u003c\/em\u003e is based on a popular course at Duke University and National Science Foundation-funded institutes, making it an excellent resource for both students and professionals in ecology, environmental science, and related fields.\u003c\/p\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":49907541344560,"sku":"Sarat_9780691122625","price":2349.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/princeton-university-press-book-default-title-statistical-computation-for-environmental-sciences-in-r-lab-manual-for-models-for-ecological-data-41200143827248.jpg?v=1775965885","url":"https:\/\/www.retailmaharaj.com\/products\/statistical-computation-for-environmental-sciences-in-r-lab-manual-for-models-for-ecological-data","provider":"Retail Maharaj","version":"1.0","type":"link"}