Search
Search Funnelback University
- Refined by:
- Date: 2017
Did you mean economiespast |u:www.statslab.cam.ac.uk?
11 -
28 of
28
search results for Economics test |u:www.statslab.cam.ac.uk
where 3
match all words and 25
match some words.
Results that match 1 of 2 words
-
1 Statistics 1B Interludes 10. Multiple testing Testing many ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/interlude-10-multiple-testing.pdf28 Feb 2017: Suppose test n H0i with independent test statistics. Prob(at least one will reject an H0i| H0i true) = 1 – Prob(reject none). = ... So a simple method is to multiply the observed significance level by the number of tests. -
14. Lecture 15. Hypothesis testing in the linear model ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-15-linear-hypotheses.pdf6 Mar 2017: Generalised likelihood ratio test. The generalised likelihood ratio test of H0 against H1 is. ... Hypothesis testing in the linear model 15.5. Null distribution of test statistic. -
6. Lecture 7. Simple Hypotheses Lecture 7. Simple Hypotheses ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-07-simple-hypotheses-4.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-4.pdf20 Feb 2017: W (θ) W(θ) for all θ Θ1. UMP tests may not exist. ... The ’generalised likelihood ratio test’. The next theorem allows us to use likelihood ratio tests even when we cannotfind the exact relevant null distribution. -
14. Lecture 15. Hypothesis testing in the linear model ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-15-linear-hypotheses-4.pdf6 Mar 2017: Generalised likelihood ratio test. The generalised likelihood ratio test of H0 against H1 is. ... Hypothesis testing in the linear model 15.5. Null distribution of test statistic. -
15. Lecture 16. Linear model examples, and ’rules of ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-16-linear-examples.pdf6 Mar 2017: Thus D N(µX µY , φ2. n ), and we test H0 : µX µY = 0 by the t statistic. ... 16. Linear model examples 16.2. Paired observations. In R code:. > t.test(x,y,paired=T). -
Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…
www.statslab.cam.ac.uk/Dept/People/djsteaching/ex-S1B-17-1.pdf17 Jan 2017: Comments and corrections to david@statslab.cam.ac.uk. 1. Ask your supervisor to test you on the sheet of common distributions handed out inlectures. -
15. Lecture 16. Linear model examples, and ’rules of ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-16-linear-examples-4.pdf6 Mar 2017: A size α test is to reject H0 if |t| > tnm2(α/2). ... 16. Linear model examples 16.2. Paired observations. In R code:. > t.test(x,y,paired=T). -
10. Lecture 11. Multivariate Normal theory Lecture 11. Multivariate…
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-11-MVN.pdf7 Mar 2017: sheet 3 for use of t distributions in hypothesis tests.Lecture 11. -
5. Lecture 6. Bayesian estimation Lecture 6. Bayesian estimation ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-06-bayesian.pdf6 Feb 2017: Examples are spam filters, text and speech recognition, machine learning,bioinformatics, health economics and (some) clinical trials. -
13. Lecture 14. Applications of the distribution theory Lecture ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications.pdf6 Mar 2017: This does not contain 0. Hence if carry out a size 0.05 test of H0 : b = 0 vs. ... H1 : b 6= 0, the test statistic would be b̂s.e.(b̂) =12.91.99 = 6.48, and we would. -
1 Statistics 1B Interludes 13. ‘Not statistically significant’ Most…
www.statslab.cam.ac.uk/Dept/People/djsteaching/interlude-13-non-significance.pdf6 Mar 2017: Only one excluded 1. 2. 30 more sensitive tests? Children shown below• Paper and press release only reported. -
10. Lecture 11. Multivariate Normal theory Lecture 11. Multivariate…
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-11-MVN-4.pdf28 Feb 2017: 1 α = P(tn1( α2 ). n(X̄ µ)σ̃. tn1( α2 )). and has endpoints. X̄ σ̃n. tn1( α2 ). See example sheet 3 for use of t distributions in hypothesis tests.Lecture -
5. Lecture 6. Bayesian estimation Lecture 6. Bayesian estimation ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-06-bayesian-4.pdf6 Feb 2017: Examples are spam filters, text and speech recognition, machine learning,bioinformatics, health economics and (some) clinical trials. -
13. Lecture 14. Applications of the distribution theory Lecture ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications-4.pdf6 Mar 2017: This does not contain 0. Hence if carry out a size 0.05 test of H0 : b = 0 vs. ... H1 : b 6= 0, the test statistic would be b̂s.e.(b̂) =12.91.99 = 6.48, and we would. -
The Composition of the European Parliament
www.statslab.cam.ac.uk/~grg/papers/Composition2017-published.pdf25 Jun 2017: European Economic Review 9, 1977, pp. 247-263. (3) A. Moberg: The voting system in the Council of the European Union. ... view of requirements 1–2. The Members of the EP represent human beings, not economic. -
BriefingPukelsheimGrimmettFinalVersion-4
www.statslab.cam.ac.uk/~grg/papers/BriefingPukelsheimGrimmettFinalVersion-4.pdf10 Feb 2017: The Members of the EP represent human beings, not economic performance. -
Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…
www.statslab.cam.ac.uk/Dept/People/djsteaching/ex-S1B-17-3.pdf21 Feb 2017: SXX/(n1)}1/2. Determine the distribution of T under H0, and hence. determine the size α likelihood ratio test.
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.