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References for Ingenia article
www.statslab.cam.ac.uk/~frank/PAPERS/ingenia_refs.html4 Sep 2008: Vickrey's first degree was in Mathematics and Electrical Engineering from Yale, and he shared the Nobel Prize for Economics in 1996. ... In his ideal world, engineering economics would occupy a position of prominence and efficient pricing would be a -
Finance Stoch (2006) 10:553–573DOI 10.1007/s00780-006-0019-z Optimal…
www.statslab.cam.ac.uk/~mike/papers/bond-portfolio.pdf13 Mar 2008: However, there are other ways todefine admissible strategies. Indeed, the integrability condition may seem unnat-ural in light of the original economic problem. -
s.dvi
www.statslab.cam.ac.uk/~rrw1/stats/Sa5.pdf4 Dec 2008: Statistics. Aims of this course. iiiSchedules. ivRecommended books. ivKeywords. vNotation. vii. 1 Parameter estimation 11.1 What is Statistics? 11.2 RVs with values in Rn or Zn. 21.3 Some important random variables. 41.4 Independent and IID RVs. -
Road pricing
www.statslab.cam.ac.uk/~frank/PAPERS/herstmonceux.pdf26 Dec 2008: 3 Vickrey's first degree was in Mathematics and Electrical Engineering from Yale, and he shared the Nobel Prize for Economics in 1996. ... 6 Beckmann, M., McGuire, C.B. and Winsten, C.B. 1956 Studies in the Economics of Transportation. -
paper.dvi
www.statslab.cam.ac.uk/~frank/evol.pdf4 Apr 2008: then the system as awhole operates efficiently; here efficiency is defined in the economic sense thatthe share of resources allocated to each user and the overall level of resourceutilization are such -
Charging and rate control for elastic traffic ∗ Frank ...
www.statslab.cam.ac.uk/~frank/elastic.pdf25 Nov 2008: In economic terms,equilibrium is achieved when demand (ms) equals supply, or price timesquantity (λsxs); and further, in this case, aggregate utility is maximized. -
s.dvi
www.statslab.cam.ac.uk/~rrw1/stats/Sa4.pdf4 Dec 2008: Statistics. Aims of this course. iiiSchedules. ivRecommended books. ivKeywords. vNotation. vii. 1 Parameter estimation 11.1 What is Statistics? 11.2 RVs with values in Rn or Zn. 21.3 Some important random variables. 41.4 Independent and IID RVs.
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