Abstract
Among the most fundamental questions arising in statistics are questions which concern one or more unknown parameters. If you think a particular population is normally distributed, for example, you’ll need to determine μ and σ, the mean and variance for that population; or if you’re looking at a Poisson process, you’ll need λ, the average number of occurrences in a unit of time. If you have a problem that involves a Bernoulli trial (a geometric, binomial or negative binomial problem), you’ll need a value for the parameter p, the probability of success on one repetition of the trial.
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© 1994 Springer Science+Business Media New York
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Creighton, J.H.C. (1994). Estimation of Parameters. In: A First Course in Probability Models and Statistical Inference. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8540-8_5
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DOI: https://doi.org/10.1007/978-1-4419-8540-8_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6431-6
Online ISBN: 978-1-4419-8540-8
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