Abstract
Statistics and probability both fall within the broader scope of the theory of random phenomena. The first deals with providing probability distributions adaptable to the various real random phenomena, and the second deals very often with a random sample to describe its properties or infer to the underlying probabilistic model and the estimation of its parameters. The chapter tries to show this connection by reporting examples that are more or less known but that are characterized by being unconventional. Other objects could have been taken into consideration but those chosen are characterized by a closer link with the calculation of probabilities.
Keywords
StatisticsMathematicsEconometrics
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Publication Info
- Year
- 1978
- Type
- article
- Volume
- 73
- Issue
- 361
- Pages
- 218-218
- Citations
- 633
- Access
- Closed
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Cite This
Donald A. Berry,
Morris H. DeGroot
(1978).
Probability and Statistics..
Journal of the American Statistical Association
, 73
(361)
, 218-218.
https://doi.org/10.2307/2286553
Identifiers
- DOI
- 10.2307/2286553