Can you explain me about what is Maximum Likelihood Estimator
(MLE) for bernouli, normal, uniform, and poisson? How to use
it(example), and what is its relation with likelihood function?
Determine the Maximum Likelihood Estimator for;
1. λ for the Poisson distribution.
2. θ for the Exponential distribution.
Caveat: These are examples of distributions for which the MLE
can be found analytically in terms of the data x1, . . . , xn and
so no advanced computational methods are required and also in each
assume a random sample of size n, x1, x2, . . . , xn
Given a random sample from a uniform distribution, find the
maximum likelihood estimator for θ when
a) 0 ≤ x ≤ θ;
b) when 0 < x < θ;
c) when θ ≤ x ≤ θ + 1.
Corporate governance is a tough process for me to grasp. Please
help me understand this by discussing the relevance of corporate
governance. What does it look like? How can a company benefit from
governance systems; i.e. what benefits are provided to decision
makers?
If possible please provide an industry example of corporate
governance that you know of or have been involved in from research
to further help explain this concept. Thanks!
Econometrics Question:
Discuss the intuition behind the maximum likelihood estimator.
Discuss what, if any, desirable properties the maximum likelihood
estimator posseses.
Give me the refernces please
what is the maximum? temperture and minimum
for Airbus 320-200 ? Give me the refernces
please
what is the maxiumum speed and altitude
? Give me the refernces please
where is the location of the fuel tank ?
Give me the refernces please