LEADER 01936nam0 22004453i 450 001 VAN0266083 005 20240110115211.352 017 70$2N$a9789401031394 100 $a20231103d1972 |0itac50 ba 101 $aeng 102 $aNL 105 $a|||| ||||| 200 1 $aForecasting Models for National Economic Planning$fA. R. G. Heesterman 205 $a2. rev. and ext. ed 210 $aDordrecht$cD. Reidel publishing company$d1972 215 $aix, 157 p.$cill.$d24 cm 410 1$1001VAN0266084$12001 $aInternational Studies in Economics and Econometrics$1210 $aDordrecht$cD. Reidel ; [poi] Springer$d1969-1998.$v2 606 $a91Bxx$xMathematical economics [MSC 2020]$3VANC024654$2MF 606 $a91-XX$xGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]$3VANC025601$2MF 606 $a62P20$xApplications of statistics to economics [MSC 2020]$3VANC026444$2MF 610 $aCalculus$9KW:K 610 $aDynamics$9KW:K 610 $aEconometrics$9KW:K 610 $aEconomic growth$9KW:K 610 $aEquilibrium$9KW:K 610 $aGrowth$9KW:K 610 $aOptimization$9KW:K 610 $aProduction$9KW:K 610 $aUnemployment$9KW:K 620 $aNL$dDordrecht$3VANL000068 700 1$aHeesterman$bAart R. G.$3VANV219167$0147141 712 $aReidel $3VANV108441$4650 801 $aIT$bSOL$c20240112$gRICA 856 4 $uhttps://doi.org/10.1007/978-94-010-3139-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0266083 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 7104 $e08eMF7104 20231106 996 $aForecasting models for national economic planning$9516379 997 $aUNICAMPANIA LEADER 02547nam 2200409z- 450 001 9910346745303321 005 20210211 035 $a(CKB)4920000000094261 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41070 035 $a(oapen)doab41070 035 $a(EXLCZ)994920000000094261 100 $a20202102d2018 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplications of Novel Analytical Methods in Epidemiology 210 $cFrontiers Media SA$d2018 215 $a1 online resource (109 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-658-7 330 $aThe repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemiology that have been borrowed from such disciplines has offered opportunities to advance the study of disease dynamics in animal populations, to improve and guide decision-making related to disease prevention, control, or eradication. Furthermore, the need to explore new analytical methods for veterinary epidemiology has been driven by the increasing availability and complexity of animal disease data. The objective of this e-book is to contribute to current methods in epidemiology by 1) presenting and discussing novel analytical tools that help advance our understanding of epidemiology; and 2) demonstrating how inferences emerging from the application of novel analytical tools can be incorporated into decision-making related to animal health. The e-book constitutes a collection of articles that explore the applications of a variety of analytical methods such as machine learning, Bayesian risk assessment and an advanced form of social network analysis in the modern epidemiologic study of animal diseases. 606 $aMedicine$2bicssc 610 $aDecision Making 610 $adisease surveillance 610 $aRisk Assessment 610 $asocial network analysis 610 $aSpatial Epidemiology 615 7$aMedicine 700 $aMoh A. Alkhamis$4auth$01317904 702 $aVictoria J. Brookes$4auth 702 $aKimberly VanderWaa$4auth 906 $aBOOK 912 $a9910346745303321 996 $aApplications of Novel Analytical Methods in Epidemiology$93033074 997 $aUNINA