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M-estimator / Fisher information / Expectation–maximization algorithm / Likelihood function / Probability density function / Expected value / Random variable / Statistics / Estimation theory / Maximum likelihood
Date: 2006-09-14 13:48:29
M-estimator
Fisher information
Expectation–maximization algorithm
Likelihood function
Probability density function
Expected value
Random variable
Statistics
Estimation theory
Maximum likelihood

Chapter 2. Review of basic Statistical methods 1 Distribution, conditional distribution and moments We consider two kinds of random variables: discrete and continuous random variables. For discrete random variable X, the

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