How Can Binomial Distribution Be Solved Without Using a Computer Program?

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SUMMARY

The discussion centers on solving the binomial distribution equation without using a computer program. It is established that there is no general closed-form solution for N-th order polynomials in P_U beyond N=4. For N=4 or less, users can expand the polynomial and apply the quadratic formula. For larger N, employing Stirling's approximation allows for the use of a Gaussian function to find approximate solutions.

PREREQUISITES
  • Understanding of binomial distribution and its properties
  • Familiarity with polynomial equations and their solutions
  • Knowledge of Stirling's approximation
  • Basic calculus, particularly in relation to polynomial functions
NEXT STEPS
  • Study the application of Stirling's approximation in statistical distributions
  • Learn about polynomial equations and methods for solving them
  • Explore Gaussian functions and their role in approximating binomial distributions
  • Review quadratic equations and their solutions for N=4 polynomials
USEFUL FOR

Mathematicians, statisticians, and students studying probability theory, particularly those interested in solving binomial distribution problems without computational tools.

swede
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Hi!

Does someone know how to solve this equation (see the link) if all variables are known without P_U (without using a computer program)?

http://www.itl.nist.gov/div898/handbook/prc/section2/gifs/pueq.gif

Can it be done in some easy way? I have read courses in calculus at the university, altough it was several years ago :(

regards
swede
 
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I don't think there is a general closed-form solution. You can easily see that this is a N-th order polynomial in P_U. So there will only be a closed form solution up to N=4. For N=4 (or less) I would recommend simply expanding it and plugging it into the quadratic equation or its equivalent.

-Dale
 
When N is large, the sum has a maximum at N = p (use Stirling's approximation to see this) and you can approximate the sum with a gaussian function. This will allow you to find approximate solutions.
 

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