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 Date: 2004-05-25 09:11:58Statistical inference M-estimators Signal processing Maximum likelihood Rice distribution Bias of an estimator Estimator Normal distribution Standard deviation Statistics Estimation theory Statistical theory |
| Chapter 6 Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {xDocID: 1rnil - View Document |
| James–Stein type estimators of variancesDocID: 1rjIr - View Document |
| Policy Evaluation Using the Ω-Return Scott Niekum University of Texas at Austin Philip S. ThomasDocID: 1raVK - View Document |
| Bias in Natural Actor-Critic Algorithms Philip S. Thomas School of Computer Science, University of Massachusetts, Amherst, MAUSA AbstractDocID: 1qZ1K - View Document |
| An International Journal of the Polish Statistical AssociationDocID: 1qQCX - View Document |