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	Lecture 41 - RPDE: Parameter Estimation-XVII: Minimum Mean Square Error (MMSE) Estimator (Dr. Pravindra Kumar- Signal Processing) View
	Performance for Estimators of Random Parameters (Timothy Schulz) View
	Lecture 42 - RPDE: Parameter Estimation-XVIII: General Bayesian Estimators (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 38 - RPDE: Parameter Estimation-XIV: Least Square Estimation (LSE) (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 39 - RPDE: Parameter Estimation-XV: LS approach u0026 Constrained least squares (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 43 - RPDE: Signal Estimation in Discrete Time-I: Linear Bayesian Estimator (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 44 - RPDE: Signal-estimation in discrete time-II: Wiener Smoother (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 36 - RPDE: Parameter Estimation-XII: MLE for Transformed Parameters (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 35 - RPDE: Parameter Estimation-XI: Maximum Likelihood Estimation (MLE) (Dr. Pravindra Kumar- Signal Processing) View
	Lecture 25 - RPDE: Parameter Estimation-I: Point Estimator u0026 its Properties (Dr. Pravindra Kumar- Signal Processing) View