Analysis of batched service time data using Gaussian and semi-parametric kernel models-Reference-Cited by-同舟云学术

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Analysis of batched service time data using Gaussian and semi-parametric kernel models

Published:2019-07-24 Issue:3 Volume:47 Page:524-540
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Wang Xueying¹,Zhou Chunxiao²,Makambi Kepher¹,Yuan Ao¹²,Ahn Jaeil¹^ORCID

Affiliation:

1. Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA

2. Epidemiology and Biostatistics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2019.1645820

Reference33 articles.

1. I.A. Ahmad and M. Amezziane, Estimation of location and scale parameters based on kernel functional estimators. Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P Hettmansperger, pp. 1–14. 2011.

2. Batching and Scheduling Jobs on Batch and Discrete Processors

3. A bulk input queueing system with batch gated service and multiple vacation policy

4. Level Scheduling for batched JIT supply

5. Kernel density estimation via diffusion

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