Abstract
A recently published curve fitting method of determining E values was put to the test using a computer and statistical software. Using idealized data and curves, the methodology worked reasonably well. Confidence limits generated by the ideal data were still large. However, when real data were employed, this methodology was not satisfactory in generating reliable E values due to inherent errors in the progress curves generated. This approach does not appear to be suitable for determining E values from one dimensional progress curves even when powerful statistical software and a computer are used to evaluate the data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
