About this document
Maximum Likelihood Estimation Explained by Bunty Sangral is a document available to read on EtoBox.
The document is a transcript of a lecture on statistical inference and finding maximum likelihood estimators. It discusses: 1) Examples of finding maximum likelihood estimators for discrete uniform and hypergeometric distributions. For a discrete uniform distribution, the MLE of the number of points N is the largest observation xn. 2) For a hypergeometric distribution, there are two cases - when the population size N is unknown and parameter M is known, or vice versa. The likelihood function is derived a
- Author
- Bunty Sangral
- Language
- EN