The Foundations

Melvin Hausner
Additional contact information
Melvin Hausner: New York University, Washington Square and University College

Chapter Chapter 1 in Elementary Probability Theory, 1995, pp 1-35 from Springer

Abstract: Abstract Probability theory is a branch of mathematics concerned with the measurement and understanding of uncertainty. Historically, this theory came into being to analyze certain games of chance. But it is clear that uncertainty occurs not only in gambling situations but all around us. When we ask what the maximum temperature will be in Chicago next July 17, or how many traffic fatalities will occur in New Jersey on the Memorial Day weekend, most people will agree (before the event occurs) that there is an element of uncertainty to the answer. An astonishing feature of probability theory is that it is possible to have such a theory at all. Yet this theory is not only possible, it is also one of the most interesting and fruitful theories of pure and applied mathematics.

Keywords: Sample Point; Relative Frequency; Probability Space; Statistical Probability; Sample Space (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-1753-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9781461517535

DOI: 10.1007/978-1-4615-1753-5_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().