Poisson Process Simulation
Poisson Process Simulation is a computational method that generates realizations of a Poisson process by modeling the random occurrence of events in continuous time or space according to a specified intensity function, distinguishing it from other stochastic simulation techniques through its reliance on exponential inter-arrival times and the superposition of independent increments.
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A mathematical model of the finding of usability problems
Jakob Nielsen, Thomas K. Landauer · 1993 · 1.9K citations · Full text
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University of California, Berkeley
Berkeley, United States
7 h-index
12 publications
864 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
13 publications
507 citations

The University of Sydney
Sydney, Australia
4 h-index
7 publications
400 citations
IBM (United States)
Armonk, United States
3 h-index
3 publications
936 citations
University of Washington
Seattle, United States
3 h-index
3 publications
63 citations
North Carolina State University
Raleigh, United States
3 h-index
6 publications
142 citations
Lancaster University
Lancaster, United Kingdom
3 h-index
8 publications
518 citations

Cornell University
Ithaca, United States
3 h-index
3 publications
101 citations
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4 publications · 1.3K citations
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JAP · 4 publications · 129 citations
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3 publications · 152 citations
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Repository · 3 publications · 78 citations
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3 publications · 64 citations
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