Technical Report: Discovering Time-Dependent Trends

Product changes in manufacturing and storage are often time-dependent. Sometimes these changes are linear, sometimes cyclical and at other times chaotic. It is often not obvious that a time-dependent change is in fact occurring in some variable of interest. In this report we discuss methods for studying whether a trend exists and, if so, what the nature of that trend is. Data used to study this problem, observations collected sequentially over time, are referred to as a time series. Time series techniques can prove to be important in bringing to light underlying trends in data that may be evident through other techniques.

This technical report appears as:
Lampe, R. and Ennis, D. M. (2007). Discovering Time-Dependent Trends. IFPress, 10(1) 2-3.

Colleagues can download the entire technical report here:
Discovering Time-Dependent Trends

Not a Colleague? Click here to join for free!

This technical report also appears in our book, Tools and Applications of Sensory and Consumer Science.

Tags: ,

Upcoming Webinar

September 21, 2017

Large TURF Problems: Finding Custom Solutions


Announcing the release of the 2016 Webinar Series Package!

Offered at a discounted rate of 50% off regular price, this package contains recordings of all four webinars offered during the 2016 Quarterly Webinar Series.

Create Your Own Webinar Package


Webinar calendar


Become a Colleague!

Join now to gain access to our technical reports, presentations, and more!

Click here to login or join.

Student Award

Now accepting applications for the
2017 Institute for Perception Student Award

site search