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S02 - COUNTER Point: Making the Most of Imperfect Data Through Statistical Modeling
Conference Track
2. Collection Development & Assessment
Learning Objectives
Have a different perspective about analyzing usage statistics, Have a better understanding on how to analyze niche collections
Abstract
All data is imperfect. In this presentation, we shift the focus from data critique to data modeling, presenting a time-series of analysis of selected resources. Using decomposition and exponential smoothing to look at usage trends, we highlight simple modeling techniques which can be tested and then applied in collection management.
Presenters
![[photo]](https://secure.gravatar.com/avatar/dc8a214ebb321a0018388ff4d60d09e4.png?d=https://proposalspace.com/images/no_photo.png&r=PG&s=50 "Lindsay Cronk, University of Houston")
Lindsay Cronk, University of Houston
![[photo]](https://secure.gravatar.com/avatar/c2104edb8c1e666fb8e7420b2b7f6a39.png?d=https://proposalspace.com/images/no_photo.png&r=PG&s=50 "Jeannie Castro, University of Houston")