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Articles
Marketing with Econometrics
Statistical analysis can tell your company which campaigns are working and which are not
Statistical Technique Hikes Nanotechnology Data Precision
A new statistical analysis technique can identify and remove systematic
bias, noise, and equipment-based artifacts from experimental data and
could lead to more precise and reliable measurement of nanomaterials
and nanostructures.
Basic Principles of Statistical Analysis
SIAM Proceedings on Data Mining 2001-2008
Data mining is an
important tool in science, engineering, industrial processes,
healthcare, business, and medicine. SIAM Conferences on Data Mining
provide a venue for researchers who are addressing these problems to
present their work in a peer-reviewed forum. Free access to all the papers.
SIAM Workshop on Algorithm Engineering and Experiments (ALENEX) 2006-2008
Original research in the implementation and experimental evaluation of
algorithms and data structures. Free access to all the papers.
Workshop on Analytic Algorithmics and Combinatorics (ANALCO)
Original research in the analysis of algorithms and associated combinatorial structures. Free access to all the papers.
Data
Analytics in Batch Operations - By Robert Wojewodka and Terry
Blevins, ControlGlobal.com
The use of multivariate statistical data analytics will likely cause
people to think in entirely new ways and address process improvement
and operations with a better understanding of the process. Its use will
allow operations personnel to identify and make well-informed
corrections before the end of batch, and it will play a major role in
ensuring that batches repeatedly hit pre-defined end-of-batch targets.
Use of this methodology will allow the engineers and other operations
personnel to gain further insight into the relationships between
process variables and their importance in affecting product quality
parameters. It also will provide additional information to help guide
process control engineers to pinpoint where process control needs to be
improved.
Use
of Weekly Dummy Variables to Estimate Seasonality -
by Ross Link
Some analytic providers use weekly dummy variables to capture
seasonality in sales models. Theoretically, estimating weekly dummies
jointly across all category SKUs with similar seasonal patterns can be
one of the best methods of estimating seasonality. In practice,
however, dummies are fit one SKU at a time. Our analysis shows that
dummies in single SKU or brand models pick up other effects like price
and promotions. Further, these dummies over-parameterize the model and
contribute to poor holdout sample performance.
Aggregation
vs. Pooling - by Ross Link
Aggregation and pooling are subjects of debate in the marketing
modeling community: we know both are important to get right yet there
is wide disagreement as to what is right.
Article on the life
of W. Edwards Deming by: Robert B. Austenfeld, Jr.
Six Sigma
and Lean Manufacturing by: Thomas Pyzdek
101 Things a Six Sigma
Black Belt Should Know by: Thomas Pyzdek
Data
Mining in Manufacturing: A Review - Journal of Manufacturing
Science and Engineering.
A
Nifty Way To Manage Continuous Improvement
In
this article, Tim Archer of The Industrial
Analyst
discusses the application of Learning Curve
Theory to Continuous Improvement activities. This powerful but simple
and inexpensive tool can help teams stay focused and on track by
providing a means to assess improvements and set goals.
Learning
Curve Theory has been used extensively in areas like aircraft
manufacturing, but can be applied to any activity for which Continuous
Improvement is feasible. Learning Curves can also save time and money!
Find out the beauty of the Learning Curve and a simple 5-step
methodology to assess your project and set goals.
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