Year 2019, Volume 23 , Issue 4, Pages 532 - 540 2019-08-01

Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application

Nihan Potas [1] , Cemal Atakan [2]


In this study, the use of the Markov chain to measure the change in time-dependent transitions is emphasized. Contingency tables were used to measure the time-dependent change of categorical data. Theoretically how to apply the Markov chain in the log-linear model with the help of one-step or higher-step transition matrices was demonstrated. In addition, the stationarity approach and the assessment of the order of the chain were given as the assumption of the model. In the real data application, 1217 undergraduate students, studying in Faculty of Political Science, Engineering, Science departments of Ankara University, were used. It was taken their cumulative average grades for 4 years, average grades for 8 semesters, beginning in the academic year 2013-2014.Whether the change in the success of the students is measurable in 8 semesters and 4 years, has been investigated. According to the results, before making any prediction: it concluded that one-step transition probabilities are not stationary and the three-step transition matrix is the second-order Markov Chain.

Contingency tables, Markov Chain, Log-Linear Analysis, Multinomial Distrubution
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Primary Language en
Subjects Mathematics
Published Date August 2019
Journal Section Research Articles
Authors

Orcid: 0000-0002-0393-3135
Author: Nihan Potas (Primary Author)
Institution: ANKARA HACI BAYRAM VELI UNIVERSITY, FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES, DEPARTMENT OF HEALTH MANAGEMENT
Country: Turkey


Orcid: 0000-0001-6943-1675
Author: Cemal Atakan
Institution: ANKARA UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF STATISTICS
Country: Turkey


Dates

Application Date : November 1, 2018
Acceptance Date : December 27, 2018
Publication Date : August 1, 2019

Bibtex @research article { saufenbilder477181, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2019}, volume = {23}, pages = {532 - 540}, doi = {10.16984/saufenbilder.477181}, title = {Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application}, key = {cite}, author = {Potas, Nihan and Atakan, Cemal} }
APA Potas, N , Atakan, C . (2019). Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application. Sakarya University Journal of Science , 23 (4) , 532-540 . DOI: 10.16984/saufenbilder.477181
MLA Potas, N , Atakan, C . "Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application". Sakarya University Journal of Science 23 (2019 ): 532-540 <http://www.saujs.sakarya.edu.tr/en/issue/43328/477181>
Chicago Potas, N , Atakan, C . "Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application". Sakarya University Journal of Science 23 (2019 ): 532-540
RIS TY - JOUR T1 - Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application AU - Nihan Potas , Cemal Atakan Y1 - 2019 PY - 2019 N1 - doi: 10.16984/saufenbilder.477181 DO - 10.16984/saufenbilder.477181 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 532 EP - 540 VL - 23 IS - 4 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.477181 UR - https://doi.org/10.16984/saufenbilder.477181 Y2 - 2018 ER -
EndNote %0 Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application %A Nihan Potas , Cemal Atakan %T Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application %D 2019 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 23 %N 4 %R doi: 10.16984/saufenbilder.477181 %U 10.16984/saufenbilder.477181
ISNAD Potas, Nihan , Atakan, Cemal . "Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application". Sakarya University Journal of Science 23 / 4 (August 2019): 532-540 . https://doi.org/10.16984/saufenbilder.477181
AMA Potas N , Atakan C . Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application. SAUJS. 2019; 23(4): 532-540.
Vancouver Potas N , Atakan C . Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application. Sakarya University Journal of Science. 2019; 23(4): 540-532.