Literature DB >> 15368993

An approach for the reporting of microbiological results from water systems.

Tim Sandle1.   

Abstract

Many statistical textbooks lend themselves readily to the analysis of physical and chemical data. This is due to the material gathered from such analyses, following, in most cases, normal distribution. Normally distributed data can be examined over time to allow the obtained profile to be studied for variation. Microbiological data rarely follows such distribution. However, such approaches can be adapted for non-normally distributed (or skewed) microbiological data. This paper applies Shewhart Control Charts to the trend analysis of microbiological data from two different pharmaceutical water systems.

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Year:  2004        PMID: 15368993

Source DB:  PubMed          Journal:  PDA J Pharm Sci Technol        ISSN: 1079-7440


  2 in total

1.  A method for culturing Gram-negative skin microbiota.

Authors:  Ian A Myles; Jensen D Reckhow; Kelli W Williams; Inka Sastalla; Karen M Frank; Sandip K Datta
Journal:  BMC Microbiol       Date:  2016-04-06       Impact factor: 3.605

2.  Prediction of Bacterial Contamination Outbursts in Water Wells through Sparse Coding.

Authors:  Levi Frolich; Dalit Vaizel-Ohayon; Barak Fishbain
Journal:  Sci Rep       Date:  2017-04-11       Impact factor: 4.379

  2 in total

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