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  2. 4. Lecture 5. Confidence Intervals Lecture 5. Confidence Intervals ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-05-confidence-intervals-4.pdf
    30 Jan 2017: What might the true proportion be? We assume we have an observation of x = 200 from a Binomial(n,p)distribution with n = 1, 000.
  3. UNIVERSITY OF CAMBRIDGE Faculty of Mathematics SCHEDULES OF LECTURE…

    www.statslab.cam.ac.uk/~lab85/resources/schedules1819.pdf
    2 May 2023: 3 2α β > 9 or m > 166 200/145, 1, 8 218/173, 1, 6.
  4. UNIVERSITY OF CAMBRIDGE Faculty of Mathematics SCHEDULES OF LECTURE…

    www.statslab.cam.ac.uk/~lab85/resources/schedules1920.pdf
    2 May 2023: 3 2α β > 9 or m > 166 200/145, 1, 8 218/173, 1, 6.
  5. 1 Explicit Congestion Control:charging, fairness and…

    www.statslab.cam.ac.uk/~frank/PAPERS/ecc.pdf
    14 Feb 2010: 50 100 150 200. 0.6. 0.7. 0.8. 0.9. 1.0. utiliza. tion. ... is set at 90%, and the scenarios we consider are a 50%, a 100%, and then a 200%.
  6. 28 Aug 2007: 100, 200) 0. 2125 45. 2199. 2236. 2274. 2310. 0.5. 1430 27. ... increased from (100, 200) to (400, 800) in the case corresponding to the bottom row.
  7. NEW FRONTIERS IN RANDOM GEOMETRY (RaG) EP/103372X/1 REPORT 1/7/12 ...

    www.statslab.cam.ac.uk/~grg/rag-reports/report2013.pdf
    28 Jul 2015: The particles are plottedafter 20, 60, 100, 150 and 200 generations with decreasingbrightness.
  8. 24 Mar 2010: 100 200 500 1000 2000. 0.00. 10. 002. 0.00. 5. n. ... 03. 2e. 03. n. estim. ated. MIS. E. (a). 100 200 500 1000 2000.
  9. final-revision.dvi

    www.statslab.cam.ac.uk/~frank/PAPERS/micmahn.pdf
    1 Oct 2003: 50. 100. 150. 200. 250. 300. 350. 400. Time (s). Use. ... 50. 100. 150. 200. 250. 300. 350. Time (s). Thro. ughp.
  10. MATHEMATICAL TRIPOS: PART II Lent Term 2016 OPTIMIZATION AND ...

    www.statslab.cam.ac.uk/~rrw1/oc/exsheetoc.pdf
    28 Feb 2016: For example,if (n1,n2,n3,n4) = (1, 10, 1, 10), the calculation (M1M2)M3 requires 20 scalar multiplications, butthe calculation M1(M2M3) requires 200 scalar multiplications.
  11. ODE approximations to some Markov chain models Perla Sousi ...

    www.statslab.cam.ac.uk/~ps422/smithknight1.pdf
    10 Nov 2010: ODE approximations to some Markov chain. models. Perla Sousi. January 13, 2009. Contents. 1 Fluid limits and homogenization 2. 1.1 General theory. 2. 1.2 Homogenization. 4. 2 Approximation to the viral model 6. 2.1 Introduction. 6. 2.2 Finding the

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