Non-normal Data 2017 - Web Conference by Compliance4all on Process Capability Analysis
Date2017-01-10
Deadline2017-01-09
VenueOnline, USA - United States
KeywordsGraphical technique; Engineering activities; Accounting and Tax
Topics/Call fo Papers
Overview:
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal.
Why should you Attend:
The most informative method for analyzing the data that results from QC, Validation, or Engineering activities is the calculation of the product's or lot's "reliability" at a chosen "confidence" level (where "reliability" means "in-specification").
Areas Covered in the Session:
Definitions
How to create a reliability plot
How to use it to determine reliability
Example, using typical data
Exact vs. Interval plotting
Examples using data from: mixed distributions, highly replicated values, or censored studies
Comparison to use of K-tables, etc.
Who Will Benefit:
QA/QC Supervisor
Process Engineer
Manufacturing Engineer
QC/QC Technician
Manufacturing Technician
R&D Engineer
Speaker Profile:
John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics.
Contact Detail:
Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: support-AT-compliance4All.com
http://www.compliance4all.com/
Event Link : http://www.compliance4all.com/control/w_product/~p...
Twitter Follow us ? https://twitter.com/compliance4all
Facebook Like us ? https://www.facebook.com/Compliance4all
LinkedIn Like us ? https://www.linkedin.com/company/compliance4all
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal.
Why should you Attend:
The most informative method for analyzing the data that results from QC, Validation, or Engineering activities is the calculation of the product's or lot's "reliability" at a chosen "confidence" level (where "reliability" means "in-specification").
Areas Covered in the Session:
Definitions
How to create a reliability plot
How to use it to determine reliability
Example, using typical data
Exact vs. Interval plotting
Examples using data from: mixed distributions, highly replicated values, or censored studies
Comparison to use of K-tables, etc.
Who Will Benefit:
QA/QC Supervisor
Process Engineer
Manufacturing Engineer
QC/QC Technician
Manufacturing Technician
R&D Engineer
Speaker Profile:
John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics.
Contact Detail:
Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: support-AT-compliance4All.com
http://www.compliance4all.com/
Event Link : http://www.compliance4all.com/control/w_product/~p...
Twitter Follow us ? https://twitter.com/compliance4all
Facebook Like us ? https://www.facebook.com/Compliance4all
LinkedIn Like us ? https://www.linkedin.com/company/compliance4all
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Last modified: 2016-11-08 15:14:00