LEADER 00972nam0-22003131i-450- 001 990003038650403321 035 $a000303865 035 $aFED01000303865 035 $a(Aleph)000303865FED01 035 $a000303865 100 $a20000920d--------km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $a<>Cost Efficiency of UK Debt Management$eA Recursive Modelling Approach$fP. Coe, M.H. Pesaran and S.P. Vahey 225 1 $aDAE Working Paper$fDepartment of Applied Economics, University of Cambridge Serie azzurra$v2000.05 610 0 $aPolitica del debito pubblico 676 $aF/1.402 676 $aN/2.351 702 1$aCoe,$bPatrick 702 1$aPesaran,$bMohammad Hashem$f<1946- > 702 1$aVahey,$bShaun P. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003038650403321 952 $aPaper$fSES 959 $aSES 996 $aCost Efficiency of UK Debt Management$9462971 997 $aUNINA DB $aING01 LEADER 03110nam 2200649 a 450 001 9910781169803321 005 20230725045122.0 010 $a1-315-57754-2 010 $a1-317-14971-8 010 $a1-317-14970-X 010 $a1-283-14883-8 010 $a9786613148834 010 $a0-7546-8126-2 035 $a(CKB)2550000000013537 035 $a(EBL)533032 035 $a(OCoLC)638859510 035 $a(SSID)ssj0000401395 035 $a(PQKBManifestationID)11319292 035 $a(PQKBTitleCode)TC0000401395 035 $a(PQKBWorkID)10421292 035 $a(PQKB)10649322 035 $a(Au-PeEL)EBL533032 035 $a(CaPaEBR)ebr10392147 035 $a(CaONFJC)MIL924699 035 $a(MiAaPQ)EBC533032 035 $a(EXLCZ)992550000000013537 100 $a20090812d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDiscrete choice modelling and air travel demand$b[electronic resource] $etheory and applications /$fLaurie A. Garrow 210 $aFarnham, Surrey ;$aBurlington, Vt. $cAshgate$dc2010 215 $a1 online resource (307 p.) 300 $aDescription based upon print version of record. 311 $a0-7546-7051-1 320 $aIncludes bibliographical references and indexes. 327 $aCover; Contents; List of Figures; List of Tables; List of Abbreviations; List of Contributors; Acknowledgements; Preface; 1 Introduction; 2 Binary Logit and Multinomial Logit Models; 3 Nested Logit Model; 4 Structured Extensions of MNL and NL Discrete Choice Models; 5 Network GEV Models; Chapter 6Mixed Logit; 7 MNL, NL, and OGEV Models of Itinerary Choice; 8 Conclusions and Directions for Future Research; References; Index; Author Index 330 $aIn recent years, airline practitioners and academics have started to explore new ways to model airline passenger demand using discrete choice methods. This book provides an introduction to discrete choice models and uses extensive examples to illustrate how these models have been used in the airline industry. These examples span network planning, revenue management, and pricing applications. Numerous examples of fundamental logit modeling concepts are covered in the text, including probability calculations, value of time calculations, elasticity calculations, nested and non-nested likelihood r 606 $aAeronautics, Commercial$xPassenger traffic$xMathematical models 606 $aScheduling$xMathematics 606 $aDemand (Economic theory)$xMathematical models 606 $aDiscrete-time systems 615 0$aAeronautics, Commercial$xPassenger traffic$xMathematical models. 615 0$aScheduling$xMathematics. 615 0$aDemand (Economic theory)$xMathematical models. 615 0$aDiscrete-time systems. 676 $a387.7/42011 700 $aGarrow$b Laurie A$01576075 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781169803321 996 $aDiscrete choice modelling and air travel demand$93853562 997 $aUNINA