Surveillance of Nonhomogeneous Poisson Processes

Monitoring poisson count data with probability control limits when sample sizes are time varying

(2013) Xiaobei Shen et al.   NAVAL RESEARCH LOGISTICS

CUSUM Procedures for Health Care Surveillance

(2013) Wei Jiang et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes

(2012) Qin Zhou et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts

(2011) R. S. Sparks et al.   JOURNAL OF APPLIED STATISTICS

Early detection of a change in Poisson rate after accounting for population size effects

(2011) Yajun Mei et al.   STATISTICA SINICA

Understanding sources of variation in syndromic surveillance for early warning of natural or intentional disease outbreaks

(2010) Ross Sparks et al.   IIE TRANSACTIONS

Early warning CUSUM plans for surveillance of negative binomial daily disease counts

(2010) Ross S. Sparks et al.   JOURNAL OF APPLIED STATISTICS

A comparison of weighted CUSUM procedures that account for monotone changes in population size

(2010) Lianjie Shu et al.   STATISTICS IN MEDICINE

Count data regression charts for the monitoring of surveillance time series

(2008) Michael Höhle et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Surveillance Strategies for Detecting Changepoint in Incidence Rate Based on Exponentially Weighted Moving Average Methods

(2008) Yuping Dong et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION