Comparative analysis of repeatability and reproducibility of compaction testing

References

• AASHTO. (2013). In place density and moisture content of soil and soil-aggregate by nuclear methods (Shallow Depth), T310. Washington, DC.
   Google Scholar
• AASHTO (2014). Density of soil in-place by the sand cone method, T191. Washington, DC: AASHTO.
   Google Scholar
• AASHTOWare. (2015). AASHTO, version 2.2 (computer software). Washington, DC.
   Google Scholar
• Alshibli, K. A., Abu-Farsakh, M., & Seyman, E. (2005). Laboratory evaluation of the geogauge and light falling weight deflectometer as construction tools. Journal of Materials in Civil Engineering, 17(5), 560–569.10.1061/(ASCE)0899-1561(2005)17:5(560)
   Web of Science ®Google Scholar
• Automotive Industry Action Group (AIAG). (2010). Measurement system analysis (4th ed.). Detroit, MI: AIAG.
   Google Scholar
• Bumblauskas, D., Meeker, M., & Gemmill, D. (2012). Maintenance and recurrent event analysis of circuit breaker data. International Journal of Quality and Reliability, 29(5), 560–575.10.1108/02656711211230526
   Google Scholar
• Cowles, M., & Davis, C. (1982). On the origins of the.05 level of statistical significance. American Psychologist, 37(5), 553–558.10.1037/0003-066X.37.5.553
   Web of Science ®Google Scholar
• Dhawale, R., & Raut, D. N. (2013). Evaluating measurement capabilities by gauge R&R using ANOVA for reliability. International Journal of Engineering Research and Application, 3(3), 726–730.
   Google Scholar
• Fay, D. S., & Gerow, K. (2013). A biologist’s guide to statistical thinking and analysis. WormBook. Retrieved August 5, 2015 from, http://www.wormbook.org/chapters/www_statisticalanalysi/statisticalanalysis.html/
   Google Scholar
• Gertsman, B. B. (2006). Introduction to hypothesis testing. StatPrimer. Retrieved June 16, 2015 from, www.sjsu.edu/faculty/gertsman/StatPrimer/hyp-test.pdf/
   Google Scholar
• Institute for Digital Research and Education (IDRE). (2015). Faq: What is the coefficient of variation. University of California at Los Angeles, (UCLA). Retrieved July 1, 2015 from, http://www.ats.ucla.edu/stat/mult_pkg/faq/general/coefficient_of_variation.htm
   Google Scholar
• Joubert, J. W., & Meintjes, S. (2015). Repeatability & reproducibility: Implications of using GPS data for freight activity chains. Transportation Research Part B: Methodological, 76, 81–92.
   Web of Science ®Google Scholar
• Kumar, M., Antony, J., Antony, F. J., & Madu, C. N. (2007). Winning customer loyalty in an automotive company through Six Sigma: A case study. Quality and Reliability Engineering International, 23, 849–866.10.1002/(ISSN)1099-1638
   Web of Science ®Google Scholar
• Mann, P. S. (2010). Introductory Statistics. (7th ed.). Hoboken, NJ: Wiley.
   Google Scholar
• Mazari M., Garcia, G., Garibay, J., Abdallah, I., Nazarian. S. (2013). Impact of modulus based device variability on quality control of compacted geomaterials using measurement system analysis. Proceedings of the Transportation Research Board 92nd Annual Meeting, Washington, DC.
   Google Scholar
• Missouri State Highway Department, (MSHD). (1975). Field evaluation of a direct transmission type nuclear moisture-density gauge. Missouri Cooperative Highway Research Program Final Report No. 74-2. Jefferson City, MO: Missouri State Highway Department.
   Google Scholar
• Montgomery, D. C., Runger, G. C., & Hubele, N. F. (2007). Engineering statistics. New York, NY: Wiley and Sons.
   Google Scholar
• Nazzal, M. D., Abu-Farsakh, M. Y., Alshibli, K., & Mohammad L. (2007). Evaluating the light falling weight deflectometer device for in situ measurement of elastic modulus of pavement layers. Transportation Research Record: Journal of the Transportation Research Board, Transportation Research Board of the National Academies, Washington, DC, No. 2016, 13–22.10.3141/2016-02
   Web of Science ®Google Scholar
• Nuzzo, R. (2014). Scientific method: Statistical errors. Nature.com. Retrieved July 23, 2015 from, http://www.nature.com/news/scientific-method-statistical-errors-1.14700/
   Google Scholar
• Pandiripalli, B. (2010). Repeatability and reproducibility studies: A comparison of techniques (MS thesis). Wichita, KS: Wichita State University.
   Google Scholar
• Seltman, H. J. (2015). Chapter 7: One-way ANOVA. Experimental Design and Analysis (pp. 171–190). Pittsburgh, PA: Carnegie Mellon University.
   Google Scholar
• Stamm, S. (2013). A comparison of gauge repeatability and reproducibility methods ( PhD dissertation). Terra Haute, IN, Indiana State University.
   Google Scholar
• Wheeler, D. J. (2009). An honest gauge R&R study. Paper presented at the 2006 American society for quality/American statistical association fall technical conference, Columbus, OH. Retrieved April 5, 2015 from, http://www.spcpress.com/pdf/DJW189.pdf/
   Google Scholar
• White, D. J., Vennapusa, P. K., Zhang, J., Geieslman, H., & Morris, M. (2009). Implementation of intelligent compaction performance based specifications in Minnesota (p. 2009). St. Paul, MN: Minnesota Department of Transportation Research Services Section.
   Google Scholar
• Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality and Technology, 31(4), 376–386.10.1080/00224065.1999.11979944
   Web of Science ®Google Scholar