A modified paired t-test for the analysis of plant trials with data autocorrelated in time

Napier-Munn, T. J. and Meyer, D. H. (1999) A modified paired t-test for the analysis of plant trials with data autocorrelated in time. Minerals Engineering, 12 9: 1093-1100.


Author Napier-Munn, T. J.
Meyer, D. H.
Title A modified paired t-test for the analysis of plant trials with data autocorrelated in time
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
Publication date 1999
Sub-type Article (original research)
DOI 10.1016/S0892-6875(99)00094-1
Volume 12
Issue 9
Start page 1093
End page 1100
Total pages 8
Editor B.A. Wills
Place of publication Oxford, UK
Publisher Pergamon
Collection year 1999
Language eng
Subject C1
290702 Mineral Processing
640300 First Stage Treatment of Ores and Minerals
Abstract Sequential plant performance data, such as daily metal recovery, are shown to follow a first order autoregressive time series model. This has been used to modify the standard formula for the paired t-test in evaluating on-off trials of alternative operating conditions, such as a new flotation reagent or circuit configuration. The modified test is more powerful than the standard test, requiring less trials to reach a decision at a given level of confidence. The power increases with the value of the AR(1) autocorrelation coefficient. The paper gives formulae for the modified test and for calculating the number of data pairs required to detect a given difference at a particular confidence level. An example of the use of the new test is given. (C) 1999 Elsevier Science Ltd. All rights reserved.
Keyword Engineering, Chemical
Mineralogy
Mining & Mineral Processing
Modelling
Process Optimisation
Froth Flotation
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: Julius Kruttschnitt Mineral Research Centre Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 274 Abstract Views  -  Detailed Statistics
Created: Tue, 10 Jun 2008, 14:40:22 EST