Basic Probability, Statistics, and Reliability

Hoang Pham ()
Additional contact information
Hoang Pham: Rutgers, The State University of New Jersey

Chapter Chapter 1 in Statistical Reliability Engineering, 2022, pp 1-65 from Springer

Abstract: Abstract This chapter presents some fundamental elements of probability and statistics with which some readers are probably already familiar, but others may be not. Statistics is the study of how best one can describe and analyze the data and then draw conclusions or inferences based on the data available. The analysis of the reliability of a system must be based on precisely defined concepts. Since it is readily accepted that a population of supposedly identical systems, operating under similar conditions, fall at different points in time, then a failure phenomenon can only be described in probabilistic terms. Thus, the fundamental definitions of reliability must depend on the concepts from probability theory.

Date: 2022
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:ssrchp:978-3-030-76904-8_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030769048

DOI: 10.1007/978-3-030-76904-8_1

Access Statistics for this chapter

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