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  2. References for Ingenia article

    https://www.statslab.cam.ac.uk/~frank/PAPERS/ingenia_refs.html
    4 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
  3. Finance Stoch (2006) 10:553–573DOI 10.1007/s00780-006-0019-z Optimal…

    https://www.statslab.cam.ac.uk/~mike/papers/bond-portfolio.pdf
    13 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.
  4. Road pricing

    https://www.statslab.cam.ac.uk/~frank/PAPERS/herstmonceux.pdf
    26 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.
  5. s.dvi

    https://www.statslab.cam.ac.uk/~rrw1/stats/Sa5.pdf
    4 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.
  6. Charging and rate control for elastic traffic ∗ Frank ...

    https://www.statslab.cam.ac.uk/~frank/elastic.pdf
    25 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.
  7. paper.dvi

    https://www.statslab.cam.ac.uk/~frank/evol.pdf
    4 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
  8. s.dvi

    https://www.statslab.cam.ac.uk/~rrw1/stats/Sa4.pdf
    4 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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