Prologue

Yadolah Dodge and Jana Jureĉková
Additional contact information
Yadolah Dodge: University of Neuchâtel
Jana Jureĉková: Charles University, Department of Probability and Statistics

Chapter 1 in Adaptive Regression, 2000, pp 1-10 from Springer

Abstract: Abstract In almost every possible sphere of human endeavor in the modern world, lack of certainty leads statistical technology to play an indispensable role. The inferential aspects of statistical techniques have made them essential to the toolkit of anyone engaged in scientific inquiry, including such fields as medicine, astronomy, business, psychology, education, industry, engineering, economics, sociology, and other branches of applied sciences. Scientific inquiry and investigation leads to the collection of data. Such data require statistical analysis to extract their meaning. One type of data occurs when values of several variables are measured for each of several units. Often such data are collected for the purpose of seeing how one of the variables depends on the others. Regression analysis is a commonly used statistical technique for dealing with such data.

Keywords: Linear Regression Model; Regression Quantile; Adaptive Procedure; Little Absolute Deviation; High Breakdown Point (search for similar items in EconPapers)
Date: 2000
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:978-1-4419-8766-2_1

Ordering information: This item can be ordered from
http://www.springer.com/9781441987662

DOI: 10.1007/978-1-4419-8766-2_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 ().