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9. Lecture 10. Tests of homogeneity, and connections toconfidence ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs.pdf20 Feb 2017: Tests of homogeneity, and connections to confidence intervals 10.1. Tests of homogeneity. ... Lecture 10. Tests of homogeneity, and connections to confidence intervals 2 (1–56). -
9. Lecture 10. Tests of homogeneity, and connections toconfidence ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs-4.pdf20 Feb 2017: Tests of homogeneity, and connections to confidence intervals 10.1. Tests of homogeneity. ... Lecture 10. Tests of homogeneity, and connections to confidence intervals 2 (1–9). -
ON BAYESIAN INFERENCE FOR SOME STATISTICAL INVERSEPROBLEMS WITH…
www.statslab.cam.ac.uk/~nickl/Site/__files/bnews.pdf6 Nov 2017: Identifying the functional param-eters f1,f2 from some observations in such a diffusionmodel is of fundamental importance in many appli-cations in modern science, e.g., in biology, physicsand economics. ... general, non-linear, inverse problems. In Ray Results that match 1 of 2 words
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Richard Weber's Biography
www.statslab.cam.ac.uk/~rrw1/mystuff/biog.html27 Sep 2017: Hisand books range over the fields of applied probabilitiy, optimization, statistics, economics, and computer science. ... He has written on problems in stochastic scheduling, Gittins index, queueing theory, large deviations, stochastic networks, -
8. Lecture 9. Tests of goodness-of-fit and independence Lecture ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-09-fit-independence.pdf20 Feb 2017: Pearson’s Chi-squared tests. Example 9.1 continued using R:. chisq.test(n,p=ptilde). data: n. ... Goodness-of-fit of a fully-specified null distribution. Likelihood ratio tests. Pearson's Chi-squared tests. -
8. Lecture 9. Tests of goodness-of-fit and independence Lecture ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-09-fit-independence-4.pdf20 Feb 2017: Pearson’s Chi-squared tests. Pearson’s Chi-squared tests. Notice that (?) and (?) are of the same form. ... Pearson’s Chi-squared tests. Example 9.1 continued using R:. chisq.test(n,p=ptilde). data: n. -
Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…
www.statslab.cam.ac.uk/Dept/People/djsteaching/ex-S1B-17-2.pdf21 Feb 2017: Find the form of the likelihoodratio test of H0 : θ = 1 against H1 : θ = 1.21. ... Isthe test uniformly most powerful for testing H0 : θ = θ0 against H1 : θ > θ0? -
1 Statistics 1B Interludes 15. Statistics and a mass ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/interlude-15-shipman.pdf10 Mar 2017: Included Barnard, Lindley, Plackett, Armitage etc. • Barnard developed the Sequential probability ratio test’. • ... Sequential probability ratio test (SPRT). • Most powerful sequential test between two hypotheses H0 and H1. • -
6. Lecture 7. Simple Hypotheses Lecture 7. Simple Hypotheses ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-07-simple-hypotheses.pdf6 Feb 2017: It says that the most powerful test (ie the one with the smallest Type II errorprobability), among tests with size smaller than or equal to α, is the size αlikelihood ratio ... This is called a z-test. Lecture 7. Simple Hypotheses 9 (1–1). -
7. Lecture 8. Composite hypotheses Lecture 8. Composite hypotheses ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-08-composite-hypotheses.pdf20 Feb 2017: The ’generalised likelihood ratio test’. The next theorem allows us to use likelihood ratio tests even when we cannotfind the exact relevant null distribution. ... Generalised likelihood ratio tests. The 'generalised likelihood ratio test'.
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