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Plackett-Burman

 A Plackett-Burman design helps you to find out which factors in an experiment are important. This design screens out unimportant factors (noise), which means that you avoid collecting large amounts of data on relatively unimportant factors. If you are doing a study of, say, lung cancer in South Florida residents, some factors (like cigarette smoking) are more important than others (like hematite mining). The Plackett-Burman would help you to screen out the least important factors. A Plackett-Burman Design can help you sort out which factors to concentrate on, greatly reducing the amount of data you have to collect. For example, if you have 15 factors in your design, you can work with as few as 20 data points in a Plackett-Burman.

High Impact List of Articles

Relevant Topics in Chemistry

Google Scholar citation report
Citations : 191

Physical Chemistry : An Indian Journal received 191 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs

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