Pages that link to "Item:Q4339335"
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The following pages link to On the Distributions of Scan Statistics of a Two-Dimensional Poisson Process (Q4339335):
Displaying 22 items.
- A Wilcoxon-Mann-Whitney spatial scan statistic for functional data (Q160174) (← links)
- Estimation for the distribution of two-dimensional discrete scan statistics (Q861535) (← links)
- Spatial point process models of defensive strategies: detecting changes (Q995835) (← links)
- Approximation and simulation of the distributions of scan statistics for Poisson processes in higher dimensions (Q1294764) (← links)
- Poisson approximation in connection with clustering of random points (Q1305421) (← links)
- A new method for estimating the distribution of scan statistics for a two-dimensional Poisson process (Q1398016) (← links)
- Geographic and network surveillance via scan statistics for critical area detection (Q1764314) (← links)
- Approximations for a conditional two-dimensional scan statistic. (Q1871231) (← links)
- New approximations for the distribution of the \(r\)-scan statistic (Q1970824) (← links)
- Using scan statistics for cluster detection: recognizing real bandwagons (Q2218858) (← links)
- Change-point problems: bibliography and review (Q2324132) (← links)
- Optimal and fast detection of spatial clusters with scan statistics (Q2380095) (← links)
- Multiple window scan statistics for two dimensional Poisson processes (Q2404172) (← links)
- Maximum scan score-type statistics (Q2497785) (← links)
- The maximum of all ratchet scanning process over a Poisson random field (Q2864542) (← links)
- Variable Window Scan Statistics for Normal Data (Q2876224) (← links)
- A Tree-Based Scan Statistic for Database Disease Surveillance (Q3079117) (← links)
- Maxima of moving sums in a Poisson random field (Q3644299) (← links)
- BOUNDS FOR THE DISTRIBUTION OF TWO-DIMENSIONAL BINARY SCAN STATISTICS (Q4810666) (← links)
- (Q4938921) (← links)
- Importance sampling for spatial scan analysis: computing scan statistic \(p-\)values for marked point processes. (Q5940834) (← links)
- Detecting and interpreting clusters of economic activity in rural areas using scan statistic and LISA under a unified framework (Q6571863) (← links)