{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T11:31:10Z","timestamp":1775647870483,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031035012","type":"print"},{"value":"9783031035029","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-03502-9_37","type":"book-chapter","created":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T03:26:54Z","timestamp":1649993214000},"page":"380-390","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Application of the Polynomial Maximization Method for Estimation Parameters of Autoregressive Models with Asymmetric Innovations"],"prefix":"10.1007","author":[{"given":"Serhii","family":"Zabolotnii","sequence":"first","affiliation":[]},{"given":"Oleksandr","family":"Tkachenko","sequence":"additional","affiliation":[]},{"given":"Zygmunt L.","family":"Warsza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,16]]},"reference":[{"issue":"4","key":"37_CR1","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1111\/1467-842X.00143","volume":"42","author":"GK Grunwald","year":"2000","unstructured":"Grunwald, G.K., Hyndman, R.J., Tedesco, L., Tweedie, R.L.: Theory and methods: non-Gaussian conditional linear AR (1) models. Aust. N. Z. J. Stat. 42(4), 479\u2013495 (2000)","journal-title":"Aust. N. Z. J. Stat."},{"issue":"A","key":"37_CR2","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1017\/S0021900200112690","volume":"38","author":"T Ozaki","year":"2001","unstructured":"Ozaki, T., Iino, M.: An innovation approach to non-Gaussian time series analysis. J. Appl. Probab. 38(A), 78\u201392 (2001)","journal-title":"J. Appl. Probab."},{"key":"37_CR3","doi-asserted-by":"publisher","first-page":"1761","DOI":"10.1016\/j.jmva.2009.02.006","volume":"100","author":"P Bondon","year":"2009","unstructured":"Bondon, P.: Estimation of autoregressive models with epsilon-skew-normal innovations. J. Multivar. Anal. 100, 1761\u20131776 (2009)","journal-title":"J. Multivar. Anal."},{"issue":"1","key":"37_CR4","first-page":"93","volume":"1","author":"W H\u00fcrlimann","year":"2012","unstructured":"H\u00fcrlimann, W.: On non-Gaussian AR(1) inflation modelling. J. Stat. Econom. Methods. 1(1), 93\u2013109 (2012)","journal-title":"J. Stat. Econom. Methods."},{"key":"37_CR5","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.spl.2015.11.006","volume":"110","author":"HD Nguyen","year":"2016","unstructured":"Nguyen, H.D., McLachlan, G.J., Ullmann, J.F.P., Janke, A.L.: Laplace mixture autoregressive models. Stat. Probab. Lett. 110, 18\u201324 (2016)","journal-title":"Stat. Probab. Lett."},{"issue":"2","key":"37_CR6","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1080\/02331880512331344036","volume":"39","author":"AD Akkaya","year":"2005","unstructured":"Akkaya, A.D., Tiku, M.L.: Time series AR(1) model for short-tailed distributions. Statistics 39(2), 117\u2013132 (2005)","journal-title":"Statistics"},{"key":"37_CR7","first-page":"78","volume":"132","author":"V Tikhonov","year":"2003","unstructured":"Tikhonov, V.: Generalized autoregressive model of non-Gaussian processes. Radiotekhnika 132, 78\u201382 (2003). (in Russian)","journal-title":"Radiotekhnika"},{"key":"37_CR8","unstructured":"Swami, A., Mendel, J.M., Nikias, C.: Higher-order spectral analysis toolbox. In: MATLAB User Guide. The Math Works Inc. (2001)"},{"issue":"5","key":"37_CR9","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1002\/cta.166","volume":"29","author":"A Al-Smadi","year":"2001","unstructured":"Al-Smadi, A.: A new coefficient estimation method for autoregressive systems using cumulants. Int. J. Circuit Theory Appl. 29(5), 511\u2013516 (2001)","journal-title":"Int. J. Circuit Theory Appl."},{"key":"37_CR10","volume-title":"Polynomial Parameter Estimations of Close to Gaussian Random variables","author":"Y Kunchenko","year":"2002","unstructured":"Kunchenko, Y.: Polynomial Parameter Estimations of Close to Gaussian Random variables. Shaker, Aachen (2002)"},{"key":"37_CR11","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1007\/978-3-319-77179-3_74","volume-title":"Automation 2018","author":"ZL Warsza","year":"2018","unstructured":"Warsza, Z.L., Zabolotnii, S.: Estimation of measurand parameters for data from asymmetric distributions by polynomial maximization method. In: Szewczyk, R., Zieli\u0144ski, C., Kaliczy\u0144ska, M. (eds.) Automation 2018. AISC, vol. 743, pp. 746\u2013757. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-77179-3_74"},{"key":"37_CR12","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1007\/978-3-319-29357-8_80","volume-title":"Challenges in Automation, Robotics and Measurement Techniques","author":"SW Zabolotnii","year":"2016","unstructured":"Zabolotnii, S.W., Warsza, Z.L.: Semi-parametric estimation of the change-point of parameters of non-Gaussian sequences by polynomial maximization method. In: Szewczyk, R., Zieli\u0144ski, C., Kaliczy\u0144ska, M. (eds.) Challenges in Automation, Robotics and Measurement Techniques. AISC, vol. 440, pp. 903\u2013919. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-29357-8_80"},{"key":"37_CR13","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1007\/978-3-030-13273-6_59","volume-title":"Automation 2019","author":"SW Zabolotnii","year":"2020","unstructured":"Zabolotnii, S.W., Warsza, Z.L., Tkachenko, O.: Estimation of linear regression parameters of symmetric non-Gaussian errors by polynomial maximization method. In: Szewczyk, R., Zieli\u0144ski, C., Kaliczy\u0144ska, M. (eds.) Automation 2019, vol. 920, pp. 636\u2013649. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-13273-6_59"},{"key":"37_CR14","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1007\/978-3-030-74893-7_36","volume-title":"Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques","author":"S Zabolotnii","year":"2021","unstructured":"Zabolotnii, S., Tkachenko, O., Warsza, Z.L.: Application of the polynomial maximization method for estimation parameters in the polynomial regression with non-Gaussian residuals. In: Szewczyk, R., Zieli\u0144ski, C., Kaliczy\u0144ska, M. (eds.) Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques. AISC, vol. 1390, pp. 402\u2013415. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-74893-7_36"},{"key":"37_CR15","unstructured":"Bondon, P., Song, L.: AR processes with non-Gaussian asymmetric innovations. In: European Signal Processing Conference, pp. 1\u20135 (2013)"},{"key":"37_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/b97391","volume-title":"Introduction to Time Series and Forecasting","author":"PJ Brockwell","year":"1996","unstructured":"Brockwell, P.J., Davis, R.A.: Introduction to Time Series and Forecasting. Springer, New York (1996). https:\/\/doi.org\/10.1007\/b97391"}],"container-title":["Advances in Intelligent Systems and Computing","Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-03502-9_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T03:34:26Z","timestamp":1649993666000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-03502-9_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031035012","9783031035029"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-03502-9_37","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"16 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AUTOMATION","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Automation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Warsaw","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aarmt2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/automation.piap.pl\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}