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Our analysis suggests that the presence of a trend, periodicity, and autocorrelation impact entropy, trace, and second-largest eigenvalue to varying degrees but not independently of each other and with Markov chain parameter settings as other influencing factors. The properties of interest are promising to distinguish time-series data, as evidenced for the entropy measure by recent results in the analysis of cell development for\n Xenopus laevis<\/jats:italic>\n in cell biology.\n <\/jats:p>","DOI":"10.1145\/3361744","type":"journal-article","created":{"date-parts":[[2020,3,21]],"date-time":"2020-03-21T04:18:28Z","timestamp":1584764308000},"page":"1-26","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Simulation Study to Identify the Characteristics of Markov Chain Properties"],"prefix":"10.1145","volume":"30","author":[{"given":"Atiqur","family":"Rahman","sequence":"first","affiliation":[{"name":"Department of Computer Science, William 8 Mary, Williamsburg, VA"}]},{"given":"Peter","family":"Kemper","sequence":"additional","affiliation":[{"name":"Department of Computer Science, William 8 Mary, Williamsburg, VA"}]}],"member":"320","published-online":{"date-parts":[[2020,3,20]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1177\/0160017603253789"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(86)90063-1"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2006.10.004"},{"key":"e_1_2_2_4_1","volume-title":"Human activity recognition from accelerometer data using a wearable device","author":"Casale Pierluigi"},{"key":"e_1_2_2_5_1","volume-title":"Proceedings of the Winter Simulation Conference (WSC\u201997)","author":"Chan K.","year":"1997"},{"key":"e_1_2_2_6_1","unstructured":"T. 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