On the distribution of the leading statistics for the bounded deviated permutations

碩士 === 國立臺灣師範大學 === 數學系 === 102 === The purpose of the thesis is to investigate the distribution of the leading statistic in the bounded deviated permutations S_{n+1}^{ℓ,r}, assuming the uniform distribution in S_{n+1}^{ℓ,r}. Define the random variable X_{n} to take the value k if π₁=k+1 for...

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Main Authors: Wei-Liang Chien, 簡維良
Other Authors: Yen-chi Lin
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/57511428741392299977
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spelling ndltd-TW-102NTNU54790142016-03-09T04:34:29Z http://ndltd.ncl.edu.tw/handle/57511428741392299977 On the distribution of the leading statistics for the bounded deviated permutations On the distribution of the leading statistics for the bounded deviated permutations Wei-Liang Chien 簡維良 碩士 國立臺灣師範大學 數學系 102 The purpose of the thesis is to investigate the distribution of the leading statistic in the bounded deviated permutations S_{n+1}^{ℓ,r}, assuming the uniform distribution in S_{n+1}^{ℓ,r}. Define the random variable X_{n} to take the value k if π₁=k+1 for π=π₁π₂⋯π_{n+1}∈S_{n+1}^{ℓ,r}. By considering the bivariate generating function A(z,u), we could calculate the expected value and the standard deviation for X_{n}. The method is then applied to three specific cases, S_{n+1}^{1,2}, S_{n+1}^{1,3} and S_{n+1}^{2,2}. Since the coefficients λ_{n,k} of the bivariate generating function do not have a closed form, we will apply the Hayman method to get its asymptotic formula. Finally, by running computer programs, the convergence of the normal distribution on these three cases are verified. Yen-chi Lin 林延輯 2014 學位論文 ; thesis 18 en_US
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description 碩士 === 國立臺灣師範大學 === 數學系 === 102 === The purpose of the thesis is to investigate the distribution of the leading statistic in the bounded deviated permutations S_{n+1}^{ℓ,r}, assuming the uniform distribution in S_{n+1}^{ℓ,r}. Define the random variable X_{n} to take the value k if π₁=k+1 for π=π₁π₂⋯π_{n+1}∈S_{n+1}^{ℓ,r}. By considering the bivariate generating function A(z,u), we could calculate the expected value and the standard deviation for X_{n}. The method is then applied to three specific cases, S_{n+1}^{1,2}, S_{n+1}^{1,3} and S_{n+1}^{2,2}. Since the coefficients λ_{n,k} of the bivariate generating function do not have a closed form, we will apply the Hayman method to get its asymptotic formula. Finally, by running computer programs, the convergence of the normal distribution on these three cases are verified.
author2 Yen-chi Lin
author_facet Yen-chi Lin
Wei-Liang Chien
簡維良
author Wei-Liang Chien
簡維良
spellingShingle Wei-Liang Chien
簡維良
On the distribution of the leading statistics for the bounded deviated permutations
author_sort Wei-Liang Chien
title On the distribution of the leading statistics for the bounded deviated permutations
title_short On the distribution of the leading statistics for the bounded deviated permutations
title_full On the distribution of the leading statistics for the bounded deviated permutations
title_fullStr On the distribution of the leading statistics for the bounded deviated permutations
title_full_unstemmed On the distribution of the leading statistics for the bounded deviated permutations
title_sort on the distribution of the leading statistics for the bounded deviated permutations
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/57511428741392299977
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