Abstract
In the last chapter we introduced the concept of parameter estimation. We have also described the desirable properties of estimators, though without specifying how such estimators can be constructed in a particular case. We have derived estimators only for the important quantities expectation value and variance. We now take on the general problem.
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© 1999 Springer-Verlag Berlin Heidelberg
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Brandt, S. (1999). The Method of Maximum Likelihood. In: Data Analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1446-5_7
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DOI: https://doi.org/10.1007/978-1-4612-1446-5_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7147-5
Online ISBN: 978-1-4612-1446-5
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