MATH235

MATH235 Week 7 - Assessed problems (coursework)

Submission is due on Tuesday in Week 8.

CW7.1 

In a coin throwing experiment the trials are independent and θ is the probability of a head on any throw.

  1. (a)

    Write down the likelihood function of θ when the observed outcome is the ordered sequence

    • (i)

      THHHT

    • (ii)

      TTTTTHTHTT

    [marks: 1]

  2. (b)

    The figure below shows both likelihoods on the same graph, scaled by the MLE so that both are on the same scale. Comment on the similarities and differences.

    Note: The plots are of the relative likelihood, which is defined as R(θ)=L(θ)L(θ^).

    [marks: 2]

  3. (c)

    Now suppose n throws are performed and r heads are observed. Write down the resulting likelihood and log-likelihood functions.

    [marks: 2]

  4. (d)

    Find the maximum likelihood estimate (MLE) of θ. What is the value of the MLE for situation (ii) above?

    [marks: 2]

  5. (e)

    Given your chosen model for (c), show that the maximum likelihood estimator is unbiased.

    [marks: 1]

  6. (f)

    Show that the maximum likelihood estimator is consistent. (Hint: an unbiased estimator is also consistent if its variance tends to zero as n).

    [marks: 2]

Unnumbered Figure: Link

Relative likelihoods for situations (i) and (ii) in CW7.2