{"product_id":"data-science-theory-and-applications-hardback-9780323852005","title":"Data Science: Theory and Applications (Hardback) 9780323852005","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eData Science: Theory and Applications\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eEdited by top scientists, this series presents the latest updates in the field of data science and statistics\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eC.R. Rao (Series edited by), Arni S.R. Srinivasa Rao (Series edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780323852005, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 17 February 2021\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e348 pages\u003cbr\u003e22.9 x 15.2 x 2.5 cm, 0.7 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eData Science: Theory and Applications, Volume 44\u003c\/i\u003e in the \u003ci\u003eHandbook of Statistics\u003c\/i\u003e series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more. \u003c\/p\u003e  \u003cp\u003eAdditional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eSection I: Animal Models and Ecological Large Data Methods\u003c\/p\u003e \u003cp\u003e1. Statistical outline of animal home ranges: An application of set estimation \u003ci\u003eAmparo Ba?llo and José Enrique Chacón\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2. Modeling extreme climatic events using the generalized extreme value (GEV) distribution \u003ci\u003eDiana Rypkema and Shripad Tuljapurkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eSection II: Engineering Sciences Data\u003c\/p\u003e \u003cp\u003e3. Blockchain technology: Theory and practice \u003ci\u003eSrikanth Cherukupally\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4. Application of data handling techniques to predict pavement performance \u003ci\u003eSireesh Saride, Pranav R.T. Peddinti and B. Munwar Basha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eSection III: Statistical Estimation Designs: fractional fields, biostatistics and non-parametrics\u003c\/p\u003e \u003cp\u003e5. On the usefulness of lattice approximations for fractional Gaussian fields \u003ci\u003eSomak Dutta and Debashis Mondal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6. Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applications \u003ci\u003eVictor B. Talisa and Chung-Chou H. Chang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7. Nonparametric data science: Testing hypotheses in large complex data \u003ci\u003eSunil Mathur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eSection IV: Network Models and COVID-19 modeling\u003c\/p\u003e \u003cp\u003e8. Network models in epidemiology \u003ci\u003eTae Jin Lee, Masayuki Kakehashi and Arni S.R. Srinivasa Rao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9. Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook \u003ci\u003eBrijesh P. Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10. Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemic \u003ci\u003eJ.Panovska-Griffiths, C.C. Kerr, W. Waites and R.M. Stuart\u003c\/i\u003e \u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Stochastics [\u003ca title=\"See our other books on Stochastics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Stochastics%20%5BPBWL%5D%22\"\u003ePBWL\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"North Holland","offers":[{"title":"Default Title","offer_id":46650786906392,"sku":"9780323852005","price":179.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780323852005.jpg?v=1694992222","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/data-science-theory-and-applications-hardback-9780323852005","provider":"Freshly Printed Books","version":"1.0","type":"link"}