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Abstract This is an expository article. Here we show how the successfully used Kalman filter, popular with control engineers and other scientists, can be easily understood by statisticians if we use a Bayesian formulation and some well-known results in multivariate statistics. We also give a simple example illustrating the use of the Kalman filter for quality control work.
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Richard J. Meinhold
Moog (United States)
Nozer D. Singpurwalla
Florida State University
The American Statistician
George Washington University
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Meinhold et al. (Sun,) studied this question.
synapsesocial.com/papers/6a1bf381bc71fb1015a91b5c — DOI: https://doi.org/10.1080/00031305.1983.10482723