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Karteikarten

A9

Ben Tidswell Part A uni Englisch 24 Karten

A9

Karten in diesem Stapel (24)

  1. 1State Slutsky's theoremState Slutsky's theorem
  2. 2State and prove the Neyman-Pearson lemmaState and prove the Neyman-Pearson lemma
  3. 3State Bayes' TheoremState Bayes' Theorem
  4. 4State the p.m.f. of a Poisson distribution of rate lambdaState the p.m.f. of a Poisson distribution of rate lambda
  5. 5Define the power function of thetaDefine the power function of theta
  6. 6If a UMP has test statistic t(X), state the p-valueIf a UMP has test statistic t(X), state the p-value
  7. 7State the likelihood ratio lambda(x) for a test of H_0 against H_1 and give the form of the critical region CState the likelihood ratio lambda(x) for a test of H_0 against H_1 and give the form of the critical region C
  8. 8State the p.d.f. of an exponential distribution of rate lambda(No P(X=x))State the p.d.f. of an exponential distribution of rate lambda
  9. 9Give the formula for the posterior predictive density f(x_(n+1)|x)Give the formula for the posterior predictive density f(x_(n+1)|x)
  10. 10State the p.d.f. of a normal distribution with mean mu and variance sigma^2(No P(X=x))State the p.d.f. of a normal distribution with mean mu and variance sigma^2
  11. 11Define the Jeffreys priorDefine the Jeffreys prior
  12. 12Prove that X-bar and S^2 are independent and give their marginal distributionsProve that X-bar and S^2 are independent and give their marginal distributions
  13. 13Define a t-distributionDefine a t-distribution
  14. 14Define the size of a testDefine the size of a test
  15. 15Define the power of a testDefine the power of a test
  16. 16Explain how to construct a Q-Q plot for data x_1,...,x_n we suspect is distributed N(mu,sigma^2)Explain how to construct a Q-Q plot for data x_1,...,x_n we suspect is distributed N(mu,sigma^2)
  17. 17State the likelihood ratio statistic ΛState the likelihood ratio statistic Λ
  18. 18State the p.d.f. of a Gamma(α,β) distributionState the p.d.f. of a Gamma(α,β) distribution
  19. 19State the asymptotic distribution of the likelihood ratio statistic ΛState the asymptotic distribution of the likelihood ratio statistic Λ
  20. 20State the distribution of a Bernoulli(p) distributionState the distribution of a Bernoulli(p) distribution
  21. 21Define a highest posterior density intervalDefine a highest posterior density interval
  22. 22State a property of the Jeffreys priorState a property of the Jeffreys prior
  23. 23Describe the delta method for finding the asymptotic distribution of some g(X̄)Describe the delta method for finding the asymptotic distribution of some g(X̄)
  24. 24Define a 100(1-α)% credible set for a scalar parameter θDefine a 100(1-α)% credible set for a scalar parameter θ

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Beschreibung
uni Part A Karteikarten am A9, erstellt von Ben Tidswell am 24/03/2022.
Erstellt von
Ben Tidswell · Mär 2022
Aktualisiert
20 Jun 2022
Aufrufe
6
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