LEADER 01281nam 2200397 450 001 996280407703316 005 20230803195652.0 010 $a1-4799-4337-1 010 $a1-4799-1676-5 035 $a(CKB)2670000000557989 035 $a(WaSeSS)IndRDA00094182 035 $a(WaSeSS)IndRDA00119834 035 $a(EXLCZ)992670000000557989 100 $a20200309d2014 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCRV 2014 $eConference on Computer and Robot Vision : proceedings : Montreal, Quebec, Canada, 6-9 May 2014 /$fInstitute of Electrical and Electronics Engineers 210 1$aPiscataway, New Jersey :$cInstitute of Electrical and Electronics Engineers,$d2014. 215 $a1 online resource (388 pages) 300 $aIncludes index. 311 $a1-4799-4338-X 606 $aRobot vision$vCongresses 606 $aImage processing$vCongresses 615 0$aRobot vision 615 0$aImage processing 676 $a629.892637 712 02$aInstitute of Electrical and Electronics Engineers, 801 0$bWaSeSS 801 1$bWaSeSS 906 $aPROCEEDING 912 $a996280407703316 996 $aCRV 2014$92505159 997 $aUNISA LEADER 01888nam 22004813 450 001 9910768491003321 005 20251023084523.0 035 $a(CKB)5850000000468622 035 $a(MiAaPQ)EBC32271086 035 $a(Au-PeEL)EBL32271086 035 $a(OCoLC)1535977373 035 $a(NjHacI)995850000000468622 035 $a(OCoLC)1547070866 035 $a(EXLCZ)995850000000468622 100 $a20251023d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProviding for the Poor $eThe Old Poor Law, 1750-1834 205 $a1st ed. 210 1$aLondon :$cUniversity of London Press,$d2022. 210 4$dİ2022. 215 $a1 online resource (310 pages) 225 1 $aNew Historical Perspectives Series 311 08$a1-914477-12-X 330 $aThe Old Poor Law dispensed benefits to paupers in a uniquely comprehensive, pre-modern system of relief. Providing for the Poor re-examines the micro-politics of poverty in the long eighteenth century. It bridges the gaps in our understanding of the experiences of people across the social spectrum whose lives were touched by the law and explores some of the wider arguments concerning the nature of welfare during economically testing times to produce a radical new history of the Old Poor Law in astonishing detail. 410 0$aNew Historical Perspectives Series 606 $aPoor$zEngland$xHistory 606 $aPoor$xSocial conditions 615 0$aPoor$xHistory. 615 0$aPoor$xSocial conditions. 676 $a362.5094209033 700 $aCollinge$b Peter$01853412 701 $aFalcini$b Louise$01853413 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768491003321 996 $aProviding for the Poor$94449526 997 $aUNINA LEADER 04451nam 2201129z- 450 001 9910367737703321 005 20210212 010 $a3-03921-963-4 035 $a(CKB)4100000010106340 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60050 035 $a(oapen)doab60050 035 $a(oapen)60050 035 $a(EXLCZ)994100000010106340 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic Processes: Theory and Applications 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 online resource (216 p.) 311 08$a3-03921-962-6 330 $aThe aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as queuing theory, physics, biology, economics, medicine, reliability theory, and financial mathematics. Potential topics include, but are not limited to: Markov chains and processes; large deviations and limit theorems; random motions; stochastic biological model; reliability, availability, maintenance, inspection; queueing models; queueing network models; computational methods for stochastic models; applications to risk theory, insurance and mathematical finance. 517 $aStochastic Processes 606 $aProbability & statistics$2bicssc 610 $aasymptotic approximation 610 $aCauchy problem 610 $aclosed-form solution 610 $acompound poisson insurance risk model 610 $acompound Poisson risk model 610 $acumulative inaccuracy 610 $aDickson-Hipp operator 610 $adiscrete-time Geo/D/1 queue 610 $aequity-linked death benefits 610 $aestimation 610 $aexpected discounted penalty function 610 $aextreme order statistics 610 $aFourier cosine series expansion 610 $aFourier transform 610 $aFourier-cosine series 610 $ageneralized Gerber-Shiu discounted penalty function 610 $aguaranteed minimum death benefit 610 $aimpatience 610 $ainhomogeneous continuous-time Markov chain 610 $aKoksma-Hlawka inequality 610 $aLaplace transform 610 $aLe?vy process 610 $alimiting characteristics 610 $alower record values 610 $amarkovian arrival process 610 $aMarkovian arrival process 610 $aMarkovian queueing models 610 $amatrix-geometric solution 610 $ameasure of information 610 $aMonte Carlo method 610 $amulti-class arrival processes 610 $amultidimensional birth-death process 610 $amutual information 610 $anon-stationary 610 $aNonparametric threshold estimation 610 $aone dimensional projection 610 $aoption 610 $aparabolic equation 610 $aphase-type service time distribution 610 $aprocessor heating and cooling 610 $aproduct form 610 $aQuasi-Birth-and-Death process 610 $aquasi-Monte Carlo method 610 $aquasi-random sequences 610 $aqueueing systems 610 $aqueuing network 610 $arandom sample size 610 $arate of convergence 610 $arecursive formula 610 $aretrials 610 $astate-dependent marked Markovian arrival process 610 $astochastic processes 610 $asurvival probability 610 $atesting statistical hypotheses 610 $atime-dependent queue-length probability 610 $atotal precipitation volume 610 $atruncated distribution 610 $aunbiased estimator 610 $avaluation 610 $avon-Neumann-Ulam scheme 610 $awet periods 610 $aWiener-Poisson risk model 610 $awireless telecommunication networks 615 7$aProbability & statistics 700 $aKorolev$b Victor$4auth$01288733 702 $aSipin$b Alexander$4auth 702 $aZeifman$b Alexander$4auth 906 $aBOOK 912 $a9910367737703321 996 $aStochastic Processes: Theory and Applications$93020957 997 $aUNINA