October 2016 Issue of the Statistics Digest Now Available!

This issue includes the following:
  • Mini-Paper: Big Data Terminology: Key to Predictive Analytics Success by Mark E. Johnson
  • Feature: Agile Teams: A Look at Agile Project Management Methods by L. Allison Jones-Farmer and Timothy C. Krehbiel,
  • Columns by and Bradley Jones, Lloyd S. Nelson, Gordon Clark, Jack B. ReVelle, Laura Freeman, and Mark Johnson
Read it here now!
Mini-Paper: Big Data Terminology: Key to Predictive Analytics Success
Key Words:
big data, business intelligence, and predictive analytics
Abstract:
With all of the hype surrounding big data, business intelligence, and predictive analytics (with the statistics stepchild lurking in the background), quality managers and engineers who wish to get involved in the area may be quickly dismayed by the terminology in use by the various participants. Singular concepts may have multiple names depending on the discipline or problem origin (business analytics, machine learning, neural networks, nonlinear regression, artificial intelligence, and so forth). Hence, there is a pressing need to develop a coherent and comprehensive standardized vocabulary. Subcommittee One of ISO TC69 is currently developing such a terminology standard to reside in the ISO 3534 series. In addition to the technical statistical-type terms, it could also include a discussion of some of the software facilities in use in dealing with massive data sets (HADOOP, Tableau, etc.). A benefit of this future standard is to shorten the learning curve for a big data hopeful. This paper describes the initial steps in addressing the terminology challenges with big data and offers some descriptions of forthcoming products to assist practitioners eager to plunge into this area.
 Feature: Agile Teams: A Look at Agile Project Management Methods
Key Words:
agile, scrum, project managment
Abstract:
This article presents a discussion of agile project management including scrum methodology. We see tremendous value that can be gained by the use of agile methods along with existing project management frameworks. Although agile lacks a systems focus, the agile principles apply directly to managing smaller projects within enterprise-level initiatives. Analytics and data science projects are often exploratory in nature, require cross-functional teams to work together, and the scope is often developed through team discovery. Thus, we see agile methods as particularly suited to moving analytics and data science projects forward, preventing backlogs and roadblocks that can occur due to uncertainty and poor communication.

Free Statistics Division Webinar: Approaches to Missing Data–The Good, the Bad, and the Unthinkable – December 1, 2016 at 1:00 PM Eastern Time

Join the Statistics Division on December 1st at 1:00 – 2:00 PM Eastern for a webinar to be given by Karen Grace-Martin, statistical consultant, president and founder of The Analysis Factor.

You’ve probably heard about many different approaches to dealing with missing data, and you’ve probably gotten different opinions about which one you should use. In this webinar, you’ll get an overview of:

• the three types of missing data, and how they affect the approach to take
• the common approach that is generally worse than any other
• the easy, common, seemingly bad approach that often isn’t so bad, and the situations when it doesn’t work
• the two approaches that give unbiased results, one that is very easy to implement, but only works in limited situations, and one that is harder to implement well, but works with any statistical analysis.

https://attendee.gotowebinar.com/register/7546919548565447426

Ellis R. Ott Scholarship Winners 2016 – 2017

Congratulations to the 2016-2017 Ellis R. Ott Scholarship Winners!

Andy Walter Andy Walter has been teaching high school mathematics and coaching high school football for 10 years. He has taught Advanced Placement Statistics for 7 years, and has served as an AP Reader for two. He is currently pursuing a Master’s in Applied Statistics through the University of Kansas. His research interests are statistics education, education policy, and public policy. He and his wife Elizabeth live in Prairie Village, KS.

 

 

 

 

Matthew Keefe Matthew J. Keefe is currently a PhD candidate in the Department of Statistics at Virginia Tech. He earned his B.S. degree in Mathematics from Millersville University of Pennsylvania in 2012 and his M.S. degree in Statistics from Virginia Tech in 2013. He is an active collaborator in LISA (Virginia Tech’s Laboratory for Interdisciplinary Statistical Analysis), where he closely works with researchers in other fields. His research interests include statistical process monitoring and spatial statistics. Matthew plans to graduate in the spring of 2017. Afterwards, he plans to pursue a career in industry where he will apply his statistical knowledge to solve a wide variety of problems


Fall Technical Conference. Oct 6-7, 2016 in Minneapolis, MN

The 60th Fall Technical Conference will be held in Minneapolis, MN, October 6-7, 2016. The theme of the conference is “Statistics & Quality: Twin Pillars of Excellence”. The program committee has put together an outstanding group of sessions including topics in design of experiments, statistical process control, big data, modeling and simulation. Friday concludes with a SPES special session.

Please make your hotel reservations early because there is a football game in town that weekend and rooms are going quickly.

Click below for full conference information. Register Now!

https://asq.org/conferences/fall-technical/

Free Statistics Division Webinar: Definitive Screening Design (DSD): Characteristics and Analysis Methods – August 23, 2016 at 12:00 PM EST

Join the Statistics Division on August 23rd at 12:00-1:00 PM Eastern for a webinar to be given by Wayne Adams, Consultant at Stat-Ease, Inc.

DSD’s require a more thoughtful approach to the analysis than is typical. By including the word “screening” in the name of the design, it is implied that they would be limited to only finding factors with significant linear effects. Because they are built with three levels of all the numeric factors, there are limited circumstances where a good approximation of the true response surface can be found.

These circumstances will be defined and then the focus of the presentation will shift to common situations where they are not necessarily true.

Analysis examples will be used to show:

  • how the analysis and conclusions can be misleading
  • what fixes can be applied
  • better ways to go about building and using screening designs

Reserve your webinar seat now.

ASQ Audit Conference. Oct 17 – 21, 2016 in Memphis, TN

Join us for the 25th Annual ASQ Audit Division Conference in Memphis, TN. The “New Horizons in Auditing” conference will have Pre-Conference Courses on Oct. 17-19, followed by the main conference on Oct. 20-21. This conference focuses on the auditor’s role in identifying quality issues to improve performance, processes and systems, and controlling risk specific to new horizons in auditing.

Click below for full conference information. Register today!

http://www.asqauditconference.org/

ASQ Certification Exams Offered at FTC in Minneapolis!

Great news for those interested in becoming ASQ Certified. The Statistics Division is offering a Special Exam Administration at Fall Technical Conference on Saturday, October 8, 2016. There are four exams this year; Certified Quality Engineer, Certified Six Sigma Black Belt, Certified Six Sigma Green Belt and Certified Quality Process Analyst. So if you were thinking about taking the exam this year, apply now! The deadline for submitting your application is August 26, 2016.

If you need more information before making a commitment, follow this link to learn more about the different ASQ certifications or contact Brian Sersion, Certification Chair, at bsersion@gmail.com.

Call for Nominations for Statistics Division Chair-Elect, Secretary, and Treasurer

The Statistics Division is seeking nominations for the Chair-Elect, Secretary, and Treasurer positions for the term of January 1 – December 31, 2017. The Chair-Elect will be expected to continue as Chair in 2018 and Past-Chair in 2019.

Nominations from the general Division membership must be made by a signed petition with the support of at least 10 Statistics Division members. The petition should be submitted to the Statistics Division Secretary (Gary Gehring, gehring.g@gmail.com) by September 1. If more than one candidate is submitted for any position, an election will take place later in September.

Statistical Roundtables: Order this collection of interesting and useful articles from ASQ’s Quality Progress journal today

Quality Progress, the flagship journal of ASQ, has been publishing the column “Statistics Roundtable” since 1999. With over 130 contributions from leading authors in applied statistics, the column has been highly successful and widely read. This book collects 90 of the most interesting and useful articles on some key topics. The editors have constructed this book to be a resource for statisticians and practitioners alike – with short, accessible, practical advice in important core areas of statistics from world-renowned experts. This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas.

The book contains nine chapters with collections of articles on the following topics:

  • Statistical engineering
  • Data quality and measurement
  • Data collection
  • Key statistical tools
  • Quality control
  • Reliability
  • Multiple response and meta-analysis
  • Applications
  • Communication and training

Chapter introductions provide a quick overview of the material contained in the columns of that chapter, as well as complementary articles for that topic that appear elsewhere in the book. Also included at the end of the each chapter introduction is a short list of key references that can provide additional details or examples for material in the topic area.

Order here: http://asq.org/quality-press/display-item/index.html?item=H1508