PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY10.5933/jkapd.2022.49.3.2742022493274-284Trend Analysis and Prediction of the Number of Births and the Number of Outpatients using Time Series AnalysisHwayeon An, Seonmi Kim, Namki Choihttp://journal.kapd.org/upload/pdf/jkapd-49-3-274.pdf, http://journal.kapd.org/journal/view.php?doi=10.5933/JKAPD.2022.49.3.274, http://journal.kapd.org/upload/pdf/jkapd-49-3-274.pdf
Journal of Time Series Analysis10.1111/j.1467-9892.2010.00666.x2010315305-328A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise componentMohitosh Kejriwal, Pierre Perronhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1467-9892.2010.00666.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-9892.2010.00666.x/fullpdf
2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/icccnt45670.2019.89448782019Trend Prediction of GitHub using Time Series AnalysisT V Varuna, Anuraj Mohanhttp://xplorestaging.ieee.org/ielx7/8932651/8944341/08944878.pdf?arnumber=8944878
Journal of KONBiN10.2478/jok-2020-00582020503203-216Analysis of Using Time Series Method for Prediction of Number of Passengers at the AirportPavol Kurdel, Alena Novák Sedláčková, Andrej Novákhttps://content.sciendo.com/view/journals/jok/50/3/article-p203.xml, https://www.sciendo.com/pdf/10.2478/jok-2020-0058
Journal of Time Series Analysis10.1111/1467-9892.00172200021133-59Least‐squares Estimation of an Unknown Number of Shifts in a Time SeriesMarc Lavielle, Eric Moulineshttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1467-9892.00172, https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9892.00172, https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9892.00172
Journal of Time Series Analysis10.1111/1467-9892.001601999206i-iCorrigendum: Testing for the Onset of Trend, Using Waveletshttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1467-9892.00160, https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9892.00160, https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9892.00160
Journal of Time Series Analysis10.1111/1467-9892.001531999205513-526ATesting for the Onset of Trend, Using WaveletsS. D. Gilberthttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1467-9892.00153, http://onlinelibrary.wiley.com/wol1/doi/10.1111/1467-9892.00153/fullpdf
Volume 3: Materials Technology; Pipelines, Risers, and Subsea Systems10.1115/omae2022-794942022Time Series Prediction of the Trend of Hydrate Risk Using Principal Component Analysis and Deep LearningNayoung Lee, Hyunho Kim, Yutaek Seohttps://asmedigitalcollection.asme.org/OMAE/proceedings-pdf/doi/10.1115/OMAE2022-79494/6928663/v003t04a018-omae2022-79494.pdf, https://asmedigitalcollection.asme.org/OMAE/proceedings-pdf/doi/10.1115/OMAE2022-79494/6928663/v003t04a018-omae2022-79494.pdf
Journal of Time Series Analysis10.1111/j.1467-9892.1993.tb00155.x1993144433-440AN AIC TYPE ESTIMATOR FOR THE NUMBER OF COSINUSOIDSXiaobao Wanghttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1467-9892.1993.tb00155.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-9892.1993.tb00155.x/fullpdf
Journal of Time Series Analysis10.1111/j.1467-9892.1989.tb00016.x198910171-75ESTIMATING THE NUMBER OF TERMS IN A SINUSOIDAL REGRESSIONB. G. Quinnhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1467-9892.1989.tb00016.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-9892.1989.tb00016.x/fullpdf