01366nam--2200361---450 99000111453020331620180312154621.03-540-43913-7000111453USA01000111453(ALEPH)000111453USA0100011145320021211d2002----km-y0ITAy0103-------baENGDEProcess algebra and probabilistic methodsperformance modelling and verificationSecond joint International workshop, PAPM-PROBMIV 2002Copenhagen, Denmark, July 25-26, 2002proceedingsHolger Hermanns... <et al.> (eds.)Berlin [etc.]Springer-Verlagcopyr. 2002X, 215 p.ill.20 cmLecture notes in computer science23992001Lecture notes in computer science2399Teorie delle macchinecongressi2002511.3 21Hermanns,HolgerJoint International workshop PAPM-PROBMIV 2002 <2. ; 2002 ; Copenhagen, Denmark>554498ITACBSISBD990001114530203316001 LNCS (2399)0027056 CBS00100112062BKSCIDIGIUSEPPE9020021211USA011232PATRY9020040406USA011717Process algebra and probabilistic methods981445UNISA01611nam 2200421 450 991071707070332120211214142932.0(CKB)5470000002527497(OCoLC)1288449427(EXLCZ)99547000000252749720211214d2017 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAn evaluation of using linked survey and administrative data to impute nonfilers to the population of tax return filers /Shannon MokWashington, D.C. :Congressional Budget Office,2017.1 online resource (57 pages, 2 unnumbered pages) color illustrationWorking paper ;2017-06"September 2017."Includes bibliographical references.Tax administration and procedureUnited StatesDemographic surveysUnited StatesTax returnsUnited StatesSimulation methodsIncome taxUnited StatesSimulation methodsTax administration and procedureDemographic surveysTax returnsSimulation methods.Income taxSimulation methods.Mok Shannon1389405United States.Congressional Budget Office,GPOGPOBOOK9910717070703321An evaluation of using linked survey and administrative data to impute nonfilers to the population of tax return filers3499927UNINA