Statistics of run in a sequence of multi-state trials

碩士 === 國立成功大學 === 統計學系 === 107 === Number of runs and longest of run for a multi-state sequence are studied in this thesis. Our target in research is to find the exact distribution. We will use the DNA sequence to be the example. The possible elements are A, C, G, and T, representing the four nucleo...

Full description

Bibliographic Details
Main Authors: Sheng-HaoZhan, 詹昇浩
Other Authors: Hsing-Ming Chang
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/2pbjb8
id ndltd-TW-107NCKU5337004
record_format oai_dc
spelling ndltd-TW-107NCKU53370042019-10-26T06:24:11Z http://ndltd.ncl.edu.tw/handle/2pbjb8 Statistics of run in a sequence of multi-state trials 多元序列試驗中連與其相關統計量 Sheng-HaoZhan 詹昇浩 碩士 國立成功大學 統計學系 107 Number of runs and longest of run for a multi-state sequence are studied in this thesis. Our target in research is to find the exact distribution. We will use the DNA sequence to be the example. The possible elements are A, C, G, and T, representing the four nucleotide bases of a DNA strand. We define the generating probability of the four elements first, then we use FMCI to provide the exact distribution for element with replacement and element without replacement respectively, and finally exploring the efficiency of two methods. Also , we will conduct the exact distribution of run for element without replacement in a two-state sequence. Hsing-Ming Chang 張欣民 2019 學位論文 ; thesis 39 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 統計學系 === 107 === Number of runs and longest of run for a multi-state sequence are studied in this thesis. Our target in research is to find the exact distribution. We will use the DNA sequence to be the example. The possible elements are A, C, G, and T, representing the four nucleotide bases of a DNA strand. We define the generating probability of the four elements first, then we use FMCI to provide the exact distribution for element with replacement and element without replacement respectively, and finally exploring the efficiency of two methods. Also , we will conduct the exact distribution of run for element without replacement in a two-state sequence.
author2 Hsing-Ming Chang
author_facet Hsing-Ming Chang
Sheng-HaoZhan
詹昇浩
author Sheng-HaoZhan
詹昇浩
spellingShingle Sheng-HaoZhan
詹昇浩
Statistics of run in a sequence of multi-state trials
author_sort Sheng-HaoZhan
title Statistics of run in a sequence of multi-state trials
title_short Statistics of run in a sequence of multi-state trials
title_full Statistics of run in a sequence of multi-state trials
title_fullStr Statistics of run in a sequence of multi-state trials
title_full_unstemmed Statistics of run in a sequence of multi-state trials
title_sort statistics of run in a sequence of multi-state trials
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/2pbjb8
work_keys_str_mv AT shenghaozhan statisticsofruninasequenceofmultistatetrials
AT zhānshēnghào statisticsofruninasequenceofmultistatetrials
AT shenghaozhan duōyuánxùlièshìyànzhōngliányǔqíxiāngguāntǒngjìliàng
AT zhānshēnghào duōyuánxùlièshìyànzhōngliányǔqíxiāngguāntǒngjìliàng
_version_ 1719278489434062848