Discrete distributions | Factorial and binomial topics

Poisson binomial distribution

In probability theory and statistics, the Poisson binomial distribution is the discrete probability distribution of a sum of independent Bernoulli trials that are not necessarily identically distributed. The concept is named after Siméon Denis Poisson. In other words, it is the probability distribution of thenumber of successes in a collection of n independent yes/no experiments with success probabilities . The ordinary binomial distribution is a special case of the Poisson binomial distribution, when all success probabilities are the same, that is . (Wikipedia).

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Short Introduction to the Poisson Distribution

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From playlist Statistics

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Statistics - 5.3 The Poisson Distribution

The Poisson distribution is used when we know a mean number of successes to expect in a given interval. We will learn what values we need to know and how to calculate the results for probabilities of exactly one value or for cumulative values. Power Point: https://bellevueuniversity-my

From playlist Applied Statistics (Entire Course)

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Poisson Distribution

Definition of a Poisson distribution and a solved example of the formula. 00:00 What is a Poisson distribution? 02:39 Poisson distribution formula 03:10 Solved example 04:22 Poisson distribution vs. binomial distribution

From playlist Probability Distributions

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Statistics: Intro to the Poisson Distribution and Probabilities on the TI-84

This video defines a Poisson distribution and then shows how to find Poisson distribution probabilities on the TI-84.

From playlist Geometric Probability Distribution

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Poisson distribution

The Poisson is a classic distribution used in operational risk. It often fits (describes) random variables over time intervals. For example, it might try to characterize the number of low severity, high frequency (HFLS) loss events over a month or a year. It is a discrete function that con

From playlist Statistics: Distributions

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OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution

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From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)

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Poisson Distribution Probability with Formula: P(x equals k)

This video explains how to determine a Poisson distribution probability by hand using a formula. http://mathispower4u.com

From playlist Geometric Probability Distribution

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Poisson Distribution EXPLAINED!

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From playlist Distributions (10 videos)

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OCR MEI Statistics Minor J: Poisson Distribution: 12 Approximating a Binomial

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From playlist OCR MEI Statistics Minor J: Poisson Distribution

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OCR MEI Statistics 2 2.02 Approximating a Binomial Distribution with a Poisson Distribution

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From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)

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38 - The Poisson distribution - an introduction - 2

This video provides an introduction to the Poisson distribution, providing a definition, discussing example situations which might be modelled adequately using this distribution, deriving its mean, providing simulations in Matlab which demonstrate its shape, discussing how it can be used t

From playlist Bayesian statistics: a comprehensive course

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Saharon Rosset: "Statistical modeling of mutational processes"

Computational Genomics Summer Institute 2017 Tutorial: "Statistical modeling of mutational processes" Saharon Rosset, Tel Aviv University Institute for Pure and Applied Mathematics, UCLA July 14, 2017 For more information: http://computationalgenomics.bioinformatics.ucla.edu/

From playlist Computational Genomics Summer Institute 2017

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S23.1 Poisson Versus Normal Approximations to the Binomial

MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

From playlist MIT RES.6-012 Introduction to Probability, Spring 2018

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Discrete Probability Distributions (Binomial, Poisson, Hypergeometric) in Business Statistics (WK 9)

Description Building on probability, we now discover random variables and probability distributions, both of which are models for a population. We focus this week on discrete probability distributions, beginning with a simple table of random variables and probabilities. We then use mathema

From playlist Basic Business Statistics (QBA 237 - Missouri State University)

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Mutation, Selection and Evolutionary Rescue in Simple Phenotype....(Lecture 1) by Guillaume Martin

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From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022

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OCR MEI Statistics 2 3.04 Approximating a Binomial or Poisson with a Normal Distribution

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From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)

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Statistical Learning: 4.8 Generalized Linear Models

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From playlist Statistical Learning

Related pages

Le Cam's theorem | Complement (set theory) | Binomial distribution | Probability theory | Convolution of probability distributions | Bernoulli trial | Statistics | Poisson distribution | Divide-and-conquer algorithm | Probability | Siméon Denis Poisson | Discrete Fourier transform