Predicting the continuation of a function with applications to call center data

Y. Goldberg*, Y. Ritov, A. Mandelbaum

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We show how to construct the best linear unbiased predictor (BLUP) for the continuation of a curve, and apply the proposed estimator to real-world call center data. Using the BLUP, we demonstrate prediction of the workload process, both directly and based on prediction of the arrival counts. The Matlab code and all data sets in the presented examples are available in the supplementary material.

Original languageEnglish
Pages (from-to)53-65
Number of pages13
JournalJournal of Statistical Planning and Inference
Volume147
DOIs
StatePublished - Apr 2014

Keywords

  • B-spline
  • Call center data
  • Functional data analysis
  • Knot insertion algorithm
  • Workload process

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