LEADER 05284oam 22013214 450 001 9910788228703321 005 20230721045709.0 010 $a1-4623-8703-9 010 $a1-4527-5207-9 010 $a1-282-84491-1 010 $a9786612844911 010 $a1-4519-4171-4 035 $a(CKB)3170000000055331 035 $a(SSID)ssj0000940034 035 $a(PQKBManifestationID)11571937 035 $a(PQKBTitleCode)TC0000940034 035 $a(PQKBWorkID)10947345 035 $a(PQKB)11243732 035 $a(OCoLC)694140986 035 $a(MiAaPQ)EBC1605925 035 $a(IMF)WPIEE2009253 035 $a(EXLCZ)993170000000055331 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdding Indonesia to the Global Projection Model /$fRoberto Garcia-Saltos, Douglas Laxton, Michal Andrle, Haris Munandar, Charles Freedman, Danny Hermawan 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a57 p. $cill 225 1 $aIMF Working Papers 300 $a"November 2009." 311 $a1-4519-1814-3 330 3 $aThis is the fifth of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In this paper, we add Indonesia to a previously estimated small quarterly projection model of the US, euro area, and Japanese economies. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/253 606 $aEconomic forecasting$zIndonesia$xEconometric models 606 $aEconomic forecasting$zUnited States$xEconometric models 606 $aEconomic forecasting$zEurope$xEconometric models 606 $aEconomic forecasting$zJapan$xEconometric models 606 $aInflation (Finance)$zIndonesia$xEconometric models 606 $aInflation (Finance)$zUnited States$xEconometric models 606 $aInflation (Finance)$zEurope$xEconometric models 606 $aInflation (Finance)$zJapan$xEconometric models 606 $aMonetary policy$zIndonesia$xEconometric models 606 $aMonetary policy$zUnited States$xEconometric models 606 $aMonetary policy$zEurope$xEconometric models 606 $aMonetary policy$zJapan$xEconometric models 606 $aBanks and Banking$2imf 606 $aForeign Exchange$2imf 606 $aInflation$2imf 606 $aProduction and Operations Management$2imf 606 $aPrice Level$2imf 606 $aDeflation$2imf 606 $aMacroeconomics: Production$2imf 606 $aInterest Rates: Determination, Term Structure, and Effects$2imf 606 $aMacroeconomics$2imf 606 $aCurrency$2imf 606 $aForeign exchange$2imf 606 $aFinance$2imf 606 $aReal exchange rates$2imf 606 $aOutput gap$2imf 606 $aReal interest rates$2imf 606 $aShort term interest rates$2imf 606 $aPrices$2imf 606 $aProduction$2imf 606 $aEconomic theory$2imf 606 $aInterest rates$2imf 607 $aUnited States$2imf 615 0$aEconomic forecasting$xEconometric models. 615 0$aEconomic forecasting$xEconometric models. 615 0$aEconomic forecasting$xEconometric models. 615 0$aEconomic forecasting$xEconometric models. 615 0$aInflation (Finance)$xEconometric models. 615 0$aInflation (Finance)$xEconometric models. 615 0$aInflation (Finance)$xEconometric models. 615 0$aInflation (Finance)$xEconometric models. 615 0$aMonetary policy$xEconometric models. 615 0$aMonetary policy$xEconometric models. 615 0$aMonetary policy$xEconometric models. 615 0$aMonetary policy$xEconometric models. 615 7$aBanks and Banking 615 7$aForeign Exchange 615 7$aInflation 615 7$aProduction and Operations Management 615 7$aPrice Level 615 7$aDeflation 615 7$aMacroeconomics: Production 615 7$aInterest Rates: Determination, Term Structure, and Effects 615 7$aMacroeconomics 615 7$aCurrency 615 7$aForeign exchange 615 7$aFinance 615 7$aReal exchange rates 615 7$aOutput gap 615 7$aReal interest rates 615 7$aShort term interest rates 615 7$aPrices 615 7$aProduction 615 7$aEconomic theory 615 7$aInterest rates 700 $aGarcia-Saltos$b Roberto$01374858 701 $aLaxton$b Douglas$01462103 701 $aAndrle$b Michal$01197035 701 $aMunandar$b Haris$0704589 701 $aFreedman$b Charles$01139411 701 $aHermawan$b Danny$01509605 712 02$aInternational Monetary Fund.$bResearch Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788228703321 996 $aAdding Indonesia to the Global Projection Model$93741591 997 $aUNINA LEADER 04786nam 2201165z- 450 001 9910637780403321 005 20221206 010 $a3-0365-5721-0 035 $a(CKB)5470000001631733 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94498 035 $a(oapen)94498 035 $a(EXLCZ)995470000001631733 100 $a20202212d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSample Preparation-Quo Vadis$eCurrent Status of Sample Preparation Approaches-2nd Edition 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (186 p.) 311 08$a3-0365-5722-9 330 $aSample preparation is and will always be the most important step in chemical analysis. Numerous techniques, methods, methodologies, and approaches are published in the literature offering a wide range of analytical tools to the lab practitioner. Analytical scientists all over the world are trying to develop protocols for a plethora of analytes in various sample matrices. In the last decade, sample pre-treatment advances have followed green chemistry and green analytical chemistry demands, focusing on miniaturization and automation, using the least possible amount of organic solvents. The question is how far we have been till now, and what the future perspectives are. To answer this question, analytical chemists were invited to share their experience in the field and report on the recent advances in sample-preparation approaches. The outcome of our invitation was eleven excellent manuscripts, including four review articles and seven original research articles in the first edition of the Special Issue "Sample Preparation-Quo Vadis: Current Status of Sample Preparation Approaches".The second edition is a collection of ten significant contributions to the field of sample preparation. It includes two highly interesting and comprehensive review articles and eight innovative research articles. 517 $aSample Preparation-Quo Vadis 606 $aResearch & information: general$2bicssc 606 $aChemistry$2bicssc 606 $aAnalytical chemistry$2bicssc 606 $aResearch and information: general$2bicssc 610 $asample preparation 610 $amatrix solid-phase dispersion 610 $asalting-out 610 $ahomogenous liquid-liquid extraction 610 $abisphenol 610 $abee pollen 610 $atricyclic antidepressants 610 $aurine samples 610 $abar adsorptive microextraction (BA?E) 610 $anovel sorbent phases 610 $abiomaterials waste 610 $aflotation sampling technology 610 $aGC-MS 610 $aamino acids 610 $achocolate 610 $aderivatization 610 $aHPLC 610 $afluorescence 610 $aautomation 610 $aflow injection 610 $ainductively coupled plasma 610 $asol-gel 610 $asolid-phase extraction 610 $ametals 610 $amolecular imprinted polymer 610 $ainteraction mechanism 610 $atemplate-monomer interaction 610 $aMIP-template interaction 610 $amicrowave-assisted extraction 610 $atocopherols 610 $aphenolics 610 $aflavonoids 610 $aauthenticity 610 $aHPLC-UV 610 $abismuth oxide 610 $aAPI particle size 610 $aAPI morphology 610 $afilm-coated tablets 610 $aRaman spectroscopy 610 $aImageJ 610 $atablet disintegration 610 $agreen extraction techniques 610 $amicroextraction techniques 610 $abiological samples 610 $afood samples 610 $aenvironmental samples 610 $acarbaryl 610 $acassia bark (Senna siamea Lam.) 610 $asmartphone-based digital image analysis 610 $a1-naphthol 610 $aperoxidase enzyme 610 $araman spectroscopy 610 $acarriers 610 $asample holders 610 $agold layer 610 $acuvette 610 $aethanol 610 $aurine 610 $avolatile compounds 610 $abiological fluids 615 7$aResearch & information: general 615 7$aChemistry 615 7$aAnalytical chemistry 615 7$aResearch and information: general 700 $aSamanidou$b Victoria$4edt$01174648 702 $aPanderi$b Irene$4edt 702 $aSamanidou$b Victoria$4oth 702 $aPanderi$b Irene$4oth 906 $aBOOK 912 $a9910637780403321 996 $aSample Preparation-Quo Vadis$93025991 997 $aUNINA