Linear Models
Charles A. Rohde
Additional contact information
Charles A. Rohde: Johns Hopkins University, Bloomberg School of Health
Chapter Chapter 8 in Introductory Statistical Inference with the Likelihood Function, 2014, pp 85-100 from Springer
Abstract:
Abstract There is no doubt that the linear model is one of the most important and useful models in statistics. In this chapter we discuss the estimation problem in linear models and discuss interpretations of standard results.
Keywords: Regression Model; Regression Coefficient; Quadratic Form; Linear Regression Model; Sample Covariance (search for similar items in EconPapers)
Date: 2014
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:978-3-319-10461-4_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319104614
DOI: 10.1007/978-3-319-10461-4_8
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 ().