LEADER 01576nam 2200517 450 001 9910460425303321 005 20200520144314.0 010 $a1-61164-547-6 035 $a(CKB)3710000000401940 035 $a(EBL)3416976 035 $a(SSID)ssj0001461944 035 $a(PQKBManifestationID)12611633 035 $a(PQKBTitleCode)TC0001461944 035 $a(PQKBWorkID)11479380 035 $a(PQKB)11077490 035 $a(MiAaPQ)EBC3416976 035 $a(Au-PeEL)EBL3416976 035 $a(CaPaEBR)ebr11043536 035 $a(OCoLC)909899063 035 $a(EXLCZ)993710000000401940 100 $a20150424h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFirst and Second Corinthians /$fJohn Proctor 210 1$aLouisville, Kentucky :$cWestminster John Knox Press,$d2015. 210 4$dİ2015 215 $a1 online resource (241 p.) 225 1 $aWestminster Bible Companion 300 $aDescription based upon print version of record. 311 $a0-664-25262-1 320 $aIncludes bibliographical references. 327 $a""Series Page""; ""Title Page""; ""Copyright Page""; ""Table of Contents""; ""Series Foreword""; ""Map"" 410 0$aWestminster Bible companion. 608 $aElectronic books. 676 $a227/.2077 700 $aProctor$b John$0910990 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460425303321 996 $aFirst and Second Corinthians$92039234 997 $aUNINA LEADER 04086nam 22006375 450 001 9910255003403321 005 20251116170526.0 010 $a3-319-46762-X 024 7 $a10.1007/978-3-319-46762-7 035 $a(CKB)3710000000981146 035 $a(DE-He213)978-3-319-46762-7 035 $a(MiAaPQ)EBC5589163 035 $a(PPN)19714117X 035 $a(EXLCZ)993710000000981146 100 $a20161107d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aAn Introduction to Data Analysis using Aggregation Functions in R /$fby Simon James 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 199 p. 29 illus., 20 illus. in color.) 311 08$a3-319-46761-1 327 $aAggregating data with averaging functions -- Transforming data -- Weighted averaging -- Averaging with interaction -- Fitting aggregation functions to empirical data -- Solutions. 330 $aThis textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background. Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects. This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook. 606 $aArtificial intelligence 606 $aStatistics 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aComputer science?Mathematics 606 $aR (Computer program language) 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 615 0$aArtificial intelligence. 615 0$aStatistics. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aComputer science?Mathematics. 615 0$aR (Computer program language) 615 14$aArtificial Intelligence. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aApplications of Mathematics. 615 24$aMathematics of Computing. 676 $a519.50285 700 $aJames$b Simon$4aut$4http://id.loc.gov/vocabulary/relators/aut$0121029 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255003403321 996 $aAn Introduction to Data Analysis using Aggregation Functions in R$92289017 997 $aUNINA