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03636aam a2200325 i 4500 001 2EBCA7B2C43111EB854196005EECA4DB 003 SILO 005 20210603010026 008 210426t20212021ne ab u001 u eng d 020 $a 0323852009 020 $a 9780323852005 035 $a (OCoLC)1247401473 040 $a LWU $b eng $e rda $c LWU $d OCLCO $d BDX $d CBY $d OCLCO $d IWA $d SILO 050 4 $a QA276 D32553x 2021 245 00 $a Data science : $b theory and applications / $c edited by Arni S.R. Srinivasa Rao, C.R. Rao. 264 1 $a Amsterdam, Netherlands : $b North-Holland, an imprint of Elsevier, $c [2021] 300 $a xv, 331 pages : $b illustrations (some color), color map ; $c 24 cm 490 1 $a Handbook of Statistics ; $v 44 504 $a Includes bibliographical references and index. 520 $a Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics 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. Additional 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. 650 0 $a Mathematical statistics. 650 0 $a Data mining. 700 1 $a Srinivasa Rao, Arni S. R., $e editor. 700 1 $a Rao, C. Radhakrishna $q (Calyampudi Radhakrishna), $d 1920- $e editor. 880 0 $6 505-00 $a Section 1: Animal Models and Ecological Large Data Methods: Statistical outline of animal home ranges: An application of set estimation / Amparo Baίllo and JoseÌ Enrique ChacoÌn -- Modeling extreme climatic events using the generalized extreme value (GEV) distribution / Diana Rypkema and Shripad Tuljapurkar -- Section 2: Engineering Sciences Data : Blockchain technology: Theory and practice / Srikanth Cherukupally -- Application of data handling techniques to predict pavement performance / Sireesh Saride, Pranav R.T. Peddinti and B. Munwar Basha -- Section 3: Statistical Estimation Designs: fractional fields, biostatistics and non-parametrics : On the usefulness of lattice approximations for fractional Gaussian fields / Somak Dutta and Debashis Mondal -- Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applications / Victor B. Talisa and Chung-Chou H. Chang -- Nonparametric data science: Testing hypotheses in large complex data / Sunil Mathur -- Section 4: Network Models and COVID-19 modeling : Network models in epidemiology / Tae Jin Lee, Masayuki Kakehashi and Arni S.R. Srinivasa Rao -- Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook / Brijesh P. Singh -- Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemic / J.Panovska-Griffiths, C.C. Kerr, W. Waites and R.M. Stuart. 830 0 $a Handbook of statistics (Amsterdam, Netherlands) ; $v v. 44. 941 $a 1 952 $l USUX851 $d 20210707013416.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=2EBCA7B2C43111EB854196005EECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search