LEADER 00909nam0-22003131i-450- 001 990000468570403321 005 20080721161419.0 010 $a0-444-19572-6 035 $a000046857 035 $aFED01000046857 035 $a(Aleph)000046857FED01 035 $a000046857 100 $a20020821d1972----km-y0itay50------ba 101 0 $aeng 105 $aa-------001yy 200 1 $a<>programmer's introduction to LISP$fW. D. Maurer 210 $aLondon$cMacDonald$aNew York$cAmerican Elsevier$dİ1972 215 $a112 p.$cill.$d23 cm 225 1 $aComputer monographs 610 0 $aLinguaggi di programmazione$aLISP 676 $a005.133 700 1$aMaurer,$bW. D.$0491474 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000468570403321 952 $a10 P.T. 313$b922 CCE$fDINEL 959 $aDINEL 996 $aProgrammer's introduction to LISP$9331650 997 $aUNINA LEADER 00910nam--2200337---450 001 990001567380203316 005 20200422094633.0 010 $a0-7190-2448-X 035 $a000156738 035 $aUSA01000156738 035 $a(ALEPH)000156738USA01 035 $a000156738 100 $a20040415d1989----km-y0itay0103----ba 101 0 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $aShakespeare, cinema and society$fJohn Collick 210 $aNew York$cManchester$d1989 215 $a208 p.$d21 cm 225 2 $aCultural politics 410 0$12001$aCultural politics 600 1$aShakespeare,$bWilliam 676 $a822.33 700 1$aCOLLICK,$bJohn$0560544 801 0$aIT$bsalbc$gISBD 912 $a990001567380203316 951 $aXVII A. 879$b5644 DLAS$cXVII A.$d00347585 959 $aBK 969 $aCAS 996 $aShakespeare, cinema and society$9937942 997 $aUNISA LEADER 04705oam 22011774 450 001 9910965593203321 005 20250426110553.0 010 $a9786612843891 010 $a9781462368884 010 $a1462368883 010 $a9781452748047 010 $a1452748047 010 $a9781282843899 010 $a1282843893 010 $a9781451873252 010 $a1451873255 035 $a(CKB)3170000000055330 035 $a(EBL)1608415 035 $a(SSID)ssj0001477421 035 $a(PQKBManifestationID)11818672 035 $a(PQKBTitleCode)TC0001477421 035 $a(PQKBWorkID)11450170 035 $a(PQKB)11762841 035 $a(OCoLC)649426821 035 $a(IMF)WPIEE2009178 035 $a(MiAaPQ)EBC1608415 035 $a(IMF)WPIEA2009178 035 $aWPIEA2009178 035 $a(EXLCZ)993170000000055330 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIncorporating Market Information into the Construction of the Fan Chart /$fPrakash Kannan, Selim Elekdag 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a1 online resource (23 p.) 225 1 $aIMF Working Papers 300 $a"August 2009." 311 08$a9781451917512 311 08$a1451917511 327 $aContents; I. Introduction; II. Outline of Theory; A. Characterizing the Distribution of Global Growth; Box; 1. The Two-Piece Normal Distribution; B. Constructing Confidence Intervals; III. Using Survey- and Market-Based Information; Figures; 1. Constructing Confidence Intervals; A. Survey-based Measures; B. Market-based Measures; IV. An Example: Forecasting Global Growth; A. Choice of Risk Factors; Tables; 1. Estimated Elasticities and Skewness Coefficients; B. Estimating the Weighting Parameters .; C. Constructing the Fan Chart; D. Interpreting the Results 327 $a2. Dispersion of Forecasts for GDP and Selected Risk FactorsV. Conclusions; 3. Fan Chart for Global Growth and Skewness of Risk Factors; 4. Fan Chart for Global Growth Based on Direct Estimates of Variance and Skew; References 330 3 $aThis paper develops a simple procedure for incorporating market-based information into the construction of fan charts. Using the International Monetary Fund (IMF)'s global growth forecast as a working example, the paper goes through the theoretical and practical considerations of this new approach. The resulting spreadsheet, which implements the approach, is available upon request from the authors. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/178 606 $aEconomic forecasting$xEconometric models 606 $aTime-series analysis 606 $aAsset prices$2imf 606 $aDeflation$2imf 606 $aDerivative securities$2imf 606 $aEconomic Forecasting$2imf 606 $aEnergy: Demand and Supply$2imf 606 $aFinance$2imf 606 $aFinancial Instruments$2imf 606 $aForecasting and Simulation: Models and Applications$2imf 606 $aGdp forecasting$2imf 606 $aInflation$2imf 606 $aInstitutional Investors$2imf 606 $aInvestments: Options$2imf 606 $aMacroeconomics$2imf 606 $aNational income$2imf 606 $aNon-bank Financial Institutions$2imf 606 $aOil prices$2imf 606 $aOptions$2imf 606 $aPension Funds$2imf 606 $aPrice Level$2imf 606 $aPrices$2imf 607 $aUnited States$2imf 615 0$aEconomic forecasting$xEconometric models. 615 0$aTime-series analysis. 615 7$aAsset prices 615 7$aDeflation 615 7$aDerivative securities 615 7$aEconomic Forecasting 615 7$aEnergy: Demand and Supply 615 7$aFinance 615 7$aFinancial Instruments 615 7$aForecasting and Simulation: Models and Applications 615 7$aGdp forecasting 615 7$aInflation 615 7$aInstitutional Investors 615 7$aInvestments: Options 615 7$aMacroeconomics 615 7$aNational income 615 7$aNon-bank Financial Institutions 615 7$aOil prices 615 7$aOptions 615 7$aPension Funds 615 7$aPrice Level 615 7$aPrices 676 $a336.54 700 $aKannan$b Prakash$01800219 701 $aElekdag$b Selim$01104193 712 02$aInternational Monetary Fund.$bResearch Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910965593203321 996 $aIncorporating Market Information into the Construction of the Fan Chart$94371346 997 $aUNINA