Titlebook: Estimation, Control, and the Discrete Kalman Filter; Donald E. Catlin Book 1989 Sringer-Verlag New York Inc. 1989 Bias.Computer-Aided Desi

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書目名稱Estimation, Control, and the Discrete Kalman Filter被引頻次




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Tami Blumenfield,Helaine Silverman a way that the resulting distribution contains no more information than is inherent in the data. The first attempt to do this was by Laplace and was called the “Principle of Insufficient Reason.” This principle said that two events should be assigned the same probability if there is no reason to do

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https://doi.org/10.1007/978-3-319-78789-3. Moreover, we also calculated an expression for the so-called covariance of the estimation error. Specifically, then, our output was a random variable . representing an estimator of ., and a matrix . defined by . Both of these outputs were based on knowledge of the means μ. and μ., the covariances

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Camilla Casonato,Bertrando BonfantiniWe begin by introducing the notion of a probability measure, and then we will discuss the intuitive interpretation of this definition.

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