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NONRIGOROUS PROOFS OF STIRLING'S FORMULA.

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Title: NONRIGOROUS PROOFS OF STIRLING'S FORMULA.
Authors: Bagui, Subhash C.1, Bagui, Sikha2, Hemasinha, Rohan1
Source: Mathematics & Computer Education. Spring2013, Vol. 47 Issue 2, p115-125. 11p.
Subject Terms: Mathematical formulas, Poisson distribution, Mathematical variables, Probability theory, Mathematical analysis
Abstract: The article describes a new way of deriving Stirling's formula together with two existing methods. The new method employs the result on convergence of moments and Poisson distribution while the two other methods use changes of variables in the gamma function and the normal approximation to a Poisson probability, respectively. It says that the article is meant for those who have studied probability density functions, expected values of absolute values, and convergence.
Database: Education Research Complete
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DbLabel: Education Research Complete
An: 88215815
AccessLevel: 6
PubType: Academic Journal
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  Data: NONRIGOROUS PROOFS OF STIRLING'S FORMULA.
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  Data: <searchLink fieldCode="JN" term="%22Mathematics+%26+Computer+Education%22">Mathematics & Computer Education</searchLink>. Spring2013, Vol. 47 Issue 2, p115-125. 11p.
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  Data: The article describes a new way of deriving Stirling's formula together with two existing methods. The new method employs the result on convergence of moments and Poisson distribution while the two other methods use changes of variables in the gamma function and the normal approximation to a Poisson probability, respectively. It says that the article is meant for those who have studied probability density functions, expected values of absolute values, and convergence.
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 115
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      – SubjectFull: Mathematical formulas
        Type: general
      – SubjectFull: Poisson distribution
        Type: general
      – SubjectFull: Mathematical variables
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      – SubjectFull: Probability theory
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      – SubjectFull: Mathematical analysis
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            NameFull: Bagui, Sikha
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              Text: Spring2013
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