EconPapers    
Economics at your fingertips  
 

Comparison of industrial processes in the presence of trend

E. J. Snell
Additional contact information
E. J. Snell: Imperial College, Department of Mathematics

Chapter Example F in Applied Statistics, 1987, pp 34-37 from Springer

Abstract: Abstract In a plant-scale experiment on the production of a certain chemical, a batch of intermediate product was divided into six equal portions which were then processed on successive days by two different methods, P1 and P2. The order of treatment and the yields are given in Table F.1. It was expected that superposed on any process effect there would be a smooth, roughly parabolic trend. Experience of similar experiments showed that the standard deviation of a single observation was about 0.1.

Keywords: Orthogonal Polynomial; Process Effect; Single Observation; Equal Portion; Estimate Time Delay (search for similar items in EconPapers)
Date: 1987
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:978-94-011-6946-2_9

Ordering information: This item can be ordered from
http://www.springer.com/9789401169462

DOI: 10.1007/978-94-011-6946-2_9

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 ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-94-011-6946-2_9