May 1, 2024
3 minute read
The Poisson distribution is a discrete probability distribution that describes the number of events occurring within a fixed interval of time or space if these events occur with a known average rate and independently of each other. It is a fundamental concept in statistics and is widely used in many fields, including finance, insurance, and quality control.
What is the Poisson distribution?
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Find a path to becoming a Poisson Distribution. Learn more at:
OpenCourser.com/topic/h2gl0y/poisson
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Poisson Distribution.
Provides a comprehensive overview of applied stochastic processes, including Poisson processes. It is suitable for advanced undergraduate and graduate students, as well as researchers in probability and statistics.
Provides a comprehensive overview of stochastic processes and their applications, including Poisson processes. It is suitable for advanced undergraduate and graduate students, as well as researchers in probability and statistics.
Provides a comprehensive overview of Poisson point processes and their applications. It is suitable for advanced undergraduate and graduate students, as well as researchers in probability and statistics.
Provides a comprehensive overview of stochastic processes, including Poisson processes. It is suitable for advanced undergraduate and graduate students, as well as researchers in probability and statistics.
Provides a comprehensive introduction to probability and stochastic processes, including Poisson processes. It is suitable for undergraduate and graduate students in mathematics, statistics, and engineering.
Provides a comprehensive overview of statistical methods for forecasting, including the use of Poisson processes. It is suitable for advanced undergraduate and graduate students, as well as researchers in statistics and forecasting.
Provides a comprehensive introduction to stochastic processes, including Poisson processes. It is suitable for undergraduate and graduate students in mathematics, statistics, and engineering.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/h2gl0y/poisson