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Statistics Helps Solve the Problem of How to Reduce Engine Wear

Statistics Helps Solve the Problem of How to Reduce Engine Wear

by Statistics For Industry | Nov 30, 2016 | Case Studies, Consultancy

The lubricant additives market is big business, forecast to be worth $16.2 Billion by 2019. So finding the optimum blend of additives to reduce engine wear is very important to companies competing in this crowded marketplace. Here’s how we helped one company to...

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    • Home
    • Online Courses
    • Our Courses
      • Introduction and Statistical Methods for Scientists
      • Design of Experiments (DOE)
      • Statistical Methods for R&D
      • Claim Substantiation
      • Statistics for Analytical Chemistry
      • Statistics for Microbiology
      • Multivariate Analysis
      • SPC
      • Statistics in Sensory Evaluation
    • Course Dates
    • In-House Courses
    • Statistical Consultancy
    • Company Profile
      • Our Lecturers
        • Dick Boddy
        • Chris Gummer
        • John Henderson
        • Laurence Knight
        • Alan Moxon
        • Frits Quadt
        • Joyce Ryan
        • Peter van Bruggen
    • Contact
    • Blog