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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 1972 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1007/978-94...
Part of book or chapter of book . 1982 . Peer-reviewed
Data sources: Crossref
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Probability and Probability Distributions

Authors: G. Barrie Wetherill;

Probability and Probability Distributions

Abstract

In Chapter 1 we showed that the science of statistics is concerned with the interpretation of experimental results from random systems. One of the most important tools used in the development of the subject is a branch of mathematics called the Theory of Probability. The reader who is merely interested in understanding how and when to use statistical methods will need very little indeed of this vast branch of mathematics, and the sketch given in this chapter will suffice. For others who wish to pursue a study of the Theory of Probability to a deeper level, there are some excellent books available, such as Feller (1957), Gnedenko (1962), Loeve (1960) and Parzen (1960).

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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