Statistical Analysis of a Telephone Call Center
电话呼叫中心的统计分析AI 解读 ↓
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AI 根据所提供的论文材料归类：摘要中的网络与预测指服务排队系统和运营到达率，未明确对应经济网络干扰或宏观预测方向。
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电话呼叫中心的统计分析
- 研究问题
- 如何利用一家小型银行呼叫中心全年的逐通电话记录，分析到达、顾客耐心与服务时长，并支持运营建模？
- 方法与思路
- 作者从排队论出发分解服务过程，结合泊松过程检验、对数正态误差回归、删失风险率估计及到达率预测。
- 材料陈述的贡献
- 摘要称，开发了服务过程各组成部分的统计工具与新的风险率图形方法，并建立和实施泊松到达率预测模型。
- 阅读关注点
- 应核对电话记录的构造、耐心变量的删失处理、泊松假设检验、预测评估方式，以及各组件如何衔接运营模型。
- 阅读边界
- 所据为版本未注明的 OpenAlex 索引摘要；未给出具体经验结果或预测误差，单个呼叫中心的外推范围亦不明。
原文摘要
A call center is a service network in which agents provide telephone-based services. Customers who seek these services are delayed in tele-queues. This article summarizes an analysis of a unique record of call center operations. The data comprise a complete operational history of a small banking call center, call by call, over a full year. Taking the perspective of queueing theory, we decompose the service process into three fundamental components: arrivals, customer patience, and service durations. Each component involves different basic mathematical structures and requires a different style of statistical analysis. Some of the key empirical results are sketched, along with descriptions of the varied techniques required. Several statistical techniques are developed for analysis of the basic components. One of these techniques is a test that a point process is a Poisson process. Another involves estimation of the mean function in a nonparametric regression with lognormal errors. A new graphical technique is introduced for nonparametric hazard rate estimation with censored data. Models are developed and implemented for forecasting of Poisson arrival rates. Finally, the article surveys how the characteristics deduced from the statistical analyses form the building blocks for theoretically interesting and practically useful mathematical models for call center operations.