LEADER 01840nam 2200421Ia 450 001 9910695978803321 005 20070717070230.0 035 $a(CKB)5470000002374010 035 $a(OCoLC)156136541 035 $a(EXLCZ)995470000002374010 100 $a20070717d2007 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation technology$b[electronic resource] $eVA and DOD are making progress in sharing medical information, but are far from comprehensive electronic medical records : testimony before the Subcommittee on Oversight and Investigations, Committee on Veterans' Affairs, House of Representatives /$fstatement of Valerie C. Melvin 210 1$a[Washington, D.C.] :$cU.S. Govt. Accountability Office,$d[2007] 215 $a23 pages $cdigital, PDF file 225 1 $aTestimony ;$vGAO-07-852 T 300 $aTitle from title screen (viewed on July 3, 2007). 300 $a"For release ... May 8, 2007." 300 $aPaper version available from: U.S. Govt. Accountability Office, 441 G St., NW, Rm. LM, Washington, D.C. 20548. 320 $aIncludes bibliographical references. 517 $aInformation technology 606 $aMedical informatics$zUnited States 606 $aMedical records$zUnited States$xData processing 615 0$aMedical informatics 615 0$aMedical records$xData processing. 700 $aMelvin$b Valerie C$01382770 712 02$aUnited States.$bCongress.$bHouse.$bCommittee on Veterans' Affairs.$bSubcommittee on Oversight and Investigations. 712 02$aUnited States.$bGovernment Accountability Office. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910695978803321 996 $aInformation technology$93465316 997 $aUNINA LEADER 05615nam 22005655 450 001 9910350214803321 005 20251113195110.0 010 $a981-13-0872-1 024 7 $a10.1007/978-981-13-0872-7 035 $a(CKB)4100000005471926 035 $a(DE-He213)978-981-13-0872-7 035 $a(MiAaPQ)EBC5489369 035 $a(EXLCZ)994100000005471926 100 $a20180806d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLogistics, Supply Chain and Financial Predictive Analytics $eTheory and Practices /$fedited by Kusum Deep, Madhu Jain, Said Salhi 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (VII, 254 p. 54 illus., 38 illus. in color.) 225 1 $aAsset Analytics, Performance and Safety Management,$x2522-5170 311 08$a981-13-0871-3 327 $aChapter 1: Co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing -- Chapter 2: Determination of initial basic feasible solution for transportation problems using supply demand reparation method and continuous allocation method -- Chapter 3: Comparison study on exponential smoothing and arima model for the fuel price -- Chapter 4: An optimal policy for weibull distributed deteriorating items varying with ramp type demand rate and shortages -- Chapter 5: Inventory model with shortages and deterioration for three different demand rates -- Chapter 6: Outlier labeling methods for medical data -- Chapter 7: Goal programming model to budgetary allocation in garbage disposal plant -- Chapter 8: A validated model of a fault-tolerant system -- Chapter 9: Formation and designing of ?least cost ration formulation application of cattle? using excel vba -- Chapter 10: New stable numerical inversion of generalized abel integral equation -- Chapter 11: Empirical analysis of probabilistic bounds -- Chapter 12: A graph-theoretical approach for comparison between the pair of allied ragas bhupali and deshkar of north indian classical music -- Chapter 13: A general class of tests for testing homogeneity of location parameters against ordered alternatives -- Chapter 14: Modelling of male age at marriage: evidences from western region of uttar pradesh (india) -- Chapter 15: Copula functions and applications in engineering -- Chapter 16: A preservation technology model for deteriorating items with advertisement dependent demand and trade credit -- Chapter 17: Time series model for stock price forecasting in india -- Chapter 18: asset pricing through capital market curve -- Chapter 19: Non-dominated sorting water cycle algorithm for optimal selection of cardinality constrained portfolio problem -- Chapter 20: Tqm indicators implemented by teachers of the primary school. 330 $aThis book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into nineteen chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the ?supply demand reparation method? and ?continuous allocation method.? In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methodsfor medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a ?least cost ration formulation application for cattle?; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves. The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction. 410 0$aAsset Analytics, Performance and Safety Management,$x2522-5170 606 $aQuantitative research 606 $aBusiness logistics 606 $aSocial sciences$xMathematics 606 $aData Analysis and Big Data 606 $aSupply Chain Management 606 $aLogistics 606 $aMathematics in Business, Economics and Finance 615 0$aQuantitative research. 615 0$aBusiness logistics. 615 0$aSocial sciences$xMathematics. 615 14$aData Analysis and Big Data. 615 24$aSupply Chain Management. 615 24$aLogistics. 615 24$aMathematics in Business, Economics and Finance. 676 $a658.4038 702 $aDeep$b Kusum$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b Madhu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSalhi$b Said$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910350214803321 996 $aLogistics, Supply Chain and Financial Predictive Analytics$92274746 997 $aUNINA