Estimation and Statistical Quality Control

Cheng-Few Lee, John C. Lee and Alice C. Lee
Additional contact information
Cheng-Few Lee: Rutgers University Business School, Department of Finance and Economics
John C. Lee: Center for PBBEF Research

Chapter Chapter 10 in Statistics for Business and Financial Economics, 2013, pp 425-485 from Springer

Abstract: Abstract In the previous two chapters, we discussed the basic principles of sampling and sampling distributions – techniques that enable us to make inferences about a population by looking at a subset of that population. In this chapter, we continue our discussion of inferential statistics by examining point estimation, confidence intervals, and statistical quality control. Note that this chapter draws heavily on your understanding of the standard normal distribution discussed in Chap. 7 , the fundamental concepts of sampling discussed in Chap. 8 , and the t distribution and chi-square distribution discussed in Chap. 9 .

Keywords: Control Chart; Population Parameter; Unbiased Estimator; Consistent Estimator; Sample Standard Deviation (search for similar items in EconPapers)
Date: 2013
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:978-1-4614-5897-5_10

Ordering information: This item can be ordered from
http://www.springer.com/9781461458975

DOI: 10.1007/978-1-4614-5897-5_10

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 ().