Abstract
Estimating the probability law that gave rise to given data is one of the chief aims of statistics. Once known, its variance, confidence limits, and all other parameters describing fluctuation may be determined. There are two main schools of thought — the classical and the Bayesian — regarding what may be assumed while making the estimate. These guiding philosophies are discussed more generally in Chap. 16.
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Baierlein, R.: Atoms and Information Theory (Freeman, San Francisco 1971)
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© 1991 Springer-Verlag Berlin Heidelberg
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Frieden, B.R. (1991). Estimating a Probability Law. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97289-8_10
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DOI: https://doi.org/10.1007/978-3-642-97289-8_10
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