Consider a discrete random variable X with the probability mass function , where is an unknown parameter. In a random sample of size 90 from this distribution, the observed counts for X = 0, 1 and 2 are 20, 60 and 10, respectively. Then, the maximum likelihood estimate of is
Part BCSIR NET June 2025the-two-cells-proportional-to-theta-pool-into-a-single-exponent
The two cells proportional to theta pool into a single exponent
Related counterexample: The MLE is unbiased
- Part B questionDecember 2023
- shifted exponentialDecember 2023
- the components do not overlap so y is observedDecember 2024
- only one side of the interval can failDecember 2024
- the prior adds one to the exponentDecember 2024
- the parameter space is open so the extremes have no mleDecember 2024
The chapter behind this: Maximum likelihood and the method of moments — free to read