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

Y. Goldberg; Y. Ritov; A. Mandelbaum

doi:10.1016/j.jspi.2013.11.006

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

Y. Goldberg, Y. Ritov, A. Mandelbaum

Department of Statistics

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	53-65
Number of pages	13
Journal	Journal of Statistical Planning and Inference
Volume	147
DOIs	https://doi.org/10.1016/j.jspi.2013.11.006
State	Published - Apr 2014

Keywords

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

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1016/j.jspi.2013.11.006

Cite this

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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.",

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AB - 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.

KW - B-spline

KW - Call center data

KW - Functional data analysis

KW - Knot insertion algorithm

KW - Workload process

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JO - Journal of Statistical Planning and Inference

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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