{"id":{"repo_id":"gsu","oai_identifier":"oai:digitalcommons.georgiasouthern.edu:etd-1651"},"canonical_url":"https://search.dev.ndltd.org/etd/gsu/oai:digitalcommons.georgiasouthern.edu:etd-1651","repository":{"repo_id":"gsu","name":"Georgia Southern University","base_url":"https://digitalcommons.georgiasouthern.edu/do/oai/"},"display":{"title":"Analysis and Design of One- and Two-Sided Cusum Charts with Known and Estimated Parameters","abstract":"The integral equation and Markov chain methods for analyzing the performances of one- and two-sided CUSUM X charts with known and estimated in-control process parameters are studied. Some new integral equations for analyzing the two-sided CUSUM X are derived. These methods provide us with ways to approximate the run length distribution of the chart. Since parameters of the run length distribution are commonly used measures of the performance of a control chart, it is important to choose an accurate approximation method. We develop some new Markov chain approximations using methods similar to the methods for approximating a solution to integral equations that describe the run length distribution.","abstract_html":"The integral equation and Markov chain methods for analyzing the performances of one- and two-sided CUSUM X charts with known and estimated in-control process parameters are studied. Some new integral equations for analyzing the two-sided CUSUM X are derived. These methods provide us with ways to approximate the run length distribution of the chart. Since parameters of the run length distribution are commonly used measures of the performance of a control chart, it is important to choose an accurate approximation method. We develop some new Markov chain approximations using methods similar to the methods for approximating a solution to integral equations that describe the run length distribution.","abstract_has_math":false,"creators":["Dunbar, Martin Xavier"],"institution":null,"degree_name":"Master of Science in Mathematics (M.S.)","degree_level":"Thesis (open access)","degree_discipline":"Department of Mathematical Sciences","degree_department":null,"school":null,"contributors":["Broderick O. Oluyede","Hani Samawi"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2007,"date_issued":"2007-05-01T07:00:00Z","date_published":"2007-05-01T07:00:00Z","updated_at":"2026-07-24T02:27:19Z","subjects":["ETD","ARL","CUSUM","Integral equations","Markov chain","Run length","Mathematical statistics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.georgiasouthern.edu/etd/651","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Broderick O. 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Some new integral equations for analyzing the two-sided CUSUM X are derived. These methods provide us with ways to approximate the run length distribution of the chart. Since parameters of the run length distribution are commonly used measures of the performance of a control chart, it is important to choose an accurate approximation method. We develop some new Markov chain approximations using methods similar to the methods for approximating a solution to integral equations that describe the run length distribution."]},{"key":"dc:title","label":"Title","values":["Analysis and Design of One- and Two-Sided Cusum Charts with Known and Estimated Parameters"]}]}],"canonical_facts":{"dc:contributor":["Broderick O. Oluyede","Hani Samawi"],"dc:creator":["Dunbar, Martin Xavier"],"dc:date.available":["2013-10-17T07:00:00Z"],"dc:description.abstract":["The integral equation and Markov chain methods for analyzing the performances of one- and two-sided CUSUM X charts with known and estimated in-control process parameters are studied. Some new integral equations for analyzing the two-sided CUSUM X are derived. These methods provide us with ways to approximate the run length distribution of the chart. Since parameters of the run length distribution are commonly used measures of the performance of a control chart, it is important to choose an accurate approximation method. We develop some new Markov chain approximations using methods similar to the methods for approximating a solution to integral equations that describe the run length distribution."],"dc:identifier":["https://digitalcommons.georgiasouthern.edu/etd/651"],"dc:subject":["ETD","ARL","CUSUM","Integral equations","Markov chain","Run length","Mathematical statistics"],"dc:title":["Analysis and Design of One- and Two-Sided Cusum Charts with Known and Estimated Parameters"],"thesis:degree_discipline":["Department of Mathematical Sciences"],"thesis:degree_level":["Thesis (open access)"],"thesis:degree_name":["Master of Science in Mathematics (M.S.)"]},"updated_at":"2026-07-24T02:27:19Z"}