Statistics Roundtable
2006
Statistics Roundtable: Process Variation: Enemy and Opportunity
As the giants of scientific management and the quality movement long ago pointed out, work takes place in a series of interconnected processes....
Statistics Roundtable: Improving Reliability Through Warranty Data Analysis
Today's emphasis on proactive improvement calls for building high reliability into products at design. The goal is to avoid field failures during a product's estimated lifetime....
Statistics Roundtable: Different Roads to Take for Data Analysis
For most of us with some formal training in statistical methods - from a single course to an advanced degree - the starting point of this part of our education typically began with classical or frequentist methods for analyzing data....
Statistics Roundtable: A Way to Generate Control
A regression model can be a useful tool for monitoring a process. In an earlier article, we suggested using a regression model to study the linear relationship among the variables of a multivariate process....
Statistics Roundtable: The Hidden Laboratory
Ralph is a research scientist with 20 years of experience. Most of the products he developed have gone by the wayside. That doesn't frustrate Ralph. What frustrates him is the increased pressure to churn out new products in record time....
Statistics Roundtable: Different, Equivalent or Both?
In conventional tests of statistical significance, the investigator tries to reject the null hypothesis of no difference between two groups. If the investigator fails, then the hypothesis groups cannot be rejected....
Statistics Roundtable: How to Analyze Reliability Data for Repairable Products
Leveraging powerful - yet simple - methods for reliability data analysis of repairable products or systems can help you stay on the right track....
Statistics Roundtable: If You're Not Keeping Score, It's Just Practice
Despite the fundamental importance of measurement and measurement systems, statisticians and quality professionals engaged in process improvement and quality studies frequently find numerous gaps, including:...
Statistics Roundtable: Monitor Your Industrial Processes.
Models are often developed in industry to characterize and explain a process because they can show how process variables are interconnected and interrelated. Historically, two particular methods have been used to construct models to...
Statistics Roundtable: What and When To Randomize
One of the most highly stressed principles of statistical design of experiments is the need for proper randomization. Unfortunately, it is sometimes misunderstood and misapplied....
Statistics Roundtable: Data Mining for Quality
Allen, I. Elaine; Seaman, Christopher A.
In a 1996 Quality Progress article, Bert Gunter urged caution in the use of data mining based on the extraordinary amount of hype and false promises it was receiving at the time....
Statistics Roundtable: Play It Again, Sam
People who know a lot about old movies say Humphrey Bogart, who played Rick Blaine in Casablanca, never really said, "Play it again, Sam" to Dooley Wilson, who played Sam. But the saying continues to stick....
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