Hypothesis Testing

Wolfgang Karl Härdle, Leopold Simar and Matthias Fengler
Additional contact information
Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Chair of Statistics

Chapter Chapter 7 in Applied Multivariate Statistical Analysis, 2024, pp 201-237 from Springer

Abstract: Abstract In the preceding chapter, the theoretical basis of estimation theory was presented. Now we turn our interest towards testing issues: we want to test the hypothesis H 0 $$H_0$$ that the unknown parameter θ $$\theta $$ belongs to some subspace of ℝ q $$\mathbb {R}^q$$ . This subspace is called the null set and will be denoted by Ω 0 ⊂ ℝ q $$\varOmega _0 \subset \mathbb {R}^q$$ .

Date: 2024
References: Add references at CitEc
Citations:

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

Related works:
Chapter: Hypothesis Testing (2019)
Chapter: Hypothesis Testing (2015)
Chapter: Hypothesis Testing (2003)
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:978-3-031-63833-6_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031638336

DOI: 10.1007/978-3-031-63833-6_7

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 ().