This work is licensed under the Creative Commons Attribution 4.0 International License.
Akaike H., (1998) Information Theory and an Extension of the Maximum Likelihood Principle, In: Parzen, E., Tanabe, K., Kitagawa, G. (eds) Selected Papers of Hirotugu Akaike. Springer Series in Statistics, Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1694-0_15AkaikeH. (1998) Information Theory and an Extension of the Maximum Likelihood Principle, In: ParzenE.TanabeK.KitagawaG. (eds) Selected Papers of Hirotugu Akaike. Springer Series in Statistics, Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1694-0_15Search in Google Scholar
Akyilmaz O., Kutterer H., Shum C., Ayan T., (2011) Fuzzy-wavelet based prediction of earth rotation parameters, Applied Soft Computing, 11(1):837–841, https://doi.org/10.1016/j.asoc.2010.01.003AkyilmazO.KuttererH.ShumC.AyanT. (2011) Fuzzy-wavelet based prediction of earth rotation parameters, Applied Soft Computing, 11(1):837–841, https://doi.org/10.1016/j.asoc.2010.01.003Search in Google Scholar
Box, G.E.P. and Jenkins, G.M. (1976) Time Series Analysis: Forecasting and Control, Holden Day San FranciscoBoxG.E.P.JenkinsG.M. (1976) Time Series Analysis: Forecasting and Control, Holden DaySan FranciscoSearch in Google Scholar
Cressie N.A.C. (1993) Statistics for spatial data, John Wiley & Sons, New YorkCressieN.A.C. (1993) Statistics for spatial data, John Wiley & Sons, New YorkSearch in Google Scholar
Dick W. R. and Thaller D. (eds.) IERS Annual Report 2018 (2020) International Earth Rotation and Reference Systems Service, Central Bureau. Frankfurt am Main: Verlagdes Bundesamts für Kartographie und Geodüsie, 207 p., ISBN 978-3-86482-136-3DickW. R.ThallerD. (eds.) IERS Annual Report 2018 (2020) International Earth Rotation and Reference Systems Service, Central Bureau. Frankfurt am Main: Verlagdes Bundesamts für Kartographie und Geodüsie, 207 p., ISBN 978-3-86482-136-3Search in Google Scholar
Dill, R., Dobslaw, H., Thomas, M. (2019): Improved 90-day Earth orientation predictions from angular momentum forecasts of atmosphere, ocean, and terrestrial hydrosphere. - Journal of Geodesy, 93, 3, pp. 287—295. doi: http://doi.org/10.1007/s00190-018-1158-7DillR.DobslawH.ThomasM. (2019): Improved 90-day Earth orientation predictions from angular momentum forecasts of atmosphere, ocean, and terrestrial hydrosphere. - Journal of Geodesy, 93, 3, pp. 287”295. doi: http://doi.org/10.1007/s00190-018-1158-7Search in Google Scholar
Gambis D, Luzum B., (2011) Earth rotation monitoring, UT1 determination and prediction, Metrologia; 48:165-70GambisDLuzumB. (2011) Earth rotation monitoring, UT1 determination and prediction, Metrologia; 48:165–70Search in Google Scholar
Kalarus M., Schuh H., Kosek W., Akyilmaz O., Bizouard Ch., Gambis D., Gross, B R.. Jovanovi′c, Kumakshev S., Kutterer H., Mendes Cerveira P. J., Pasynok S., Zotov L., (2010) Achievements of the Earth Orientation Parameters prediction comparison campaign, Journal of Geodesy, 84:587–596KalarusM.SchuhH.KosekW.AkyilmazO.BizouardCh.GambisD.GrossBR.Jovanovi′cKumakshevS.KuttererH.Mendes CerveiraP. J.PasynokS.ZotovL. (2010) Achievements of the Earth Orientation Parameters prediction comparison campaign, Journal of Geodesy, 84:587–596Search in Google Scholar
Kosek W., Kalarus M., Niedzielski T., (2007) Forecasting Of the Earth Orientation Parameters - Comparison of Different Algorithms, Journées Systèmes de Référence Spatio-temporels, Observatoire de Paris, 17-19 September 2007KosekW.KalarusM.NiedzielskiT. (2007) Forecasting Of the Earth Orientation Parameters - Comparison of Different Algorithms, Journées Systèmes de Référence Spatio-temporels, Observatoire de Paris, 17-19 September 2007Search in Google Scholar
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., Shin, Y. (1992) Testing the null hypothesis of stationarity against the alternative of a unit root, Journal of Econometrics. 54 (1–3): 159–178, https://doi.org/10.1016/0304-4076(92)90104-YKwiatkowskiD.PhillipsP. C. B.SchmidtP.ShinY. (1992) Testing the null hypothesis of stationarity against the alternative of a unit root, Journal of Econometrics. 54 (1–3): 159–178, https://doi.org/10.1016/0304-4076(92)90104-YSearch in Google Scholar
Lei Y., Guo M., Cai. H, Hu D., Zhao D., (2015) Prediction of Length-of-day Using Gaussian Process Regression, The Journal of Navigation, 68:563–575, https://doi.org/10.1017/S0373463314000927LeiY.GuoM.CaiHHuD.ZhaoD. (2015) Prediction of Length-of-day Using Gaussian Process Regression, The Journal of Navigation, 68:563–575, https://doi.org/10.1017/S0373463314000927Search in Google Scholar
Liao D.C., Wang Q.J., Zhou Y.H., Liao X.H., Huang C.L., (2012) Long-term prediction of the Earth Orientation Parameters by the artificial neural network technique, Journal of Geodynamics Volume 62, Pages 87-92, ISSN 0264-3707, https://doi.org/10.1016/j.jog.2011.12.004LiaoD.C.WangQ.J.ZhouY.H.LiaoX.H.HuangC.L. (2012) Long-term prediction of the Earth Orientation Parameters by the artificial neural network technique, Journal of Geodynamics Volume 62, Pages 87–92, ISSN 0264-3707, https://doi.org/10.1016/j.jog.2011.12.004Search in Google Scholar
Ligas, M., (2022), Comparison of kriging and least-squares collocation – Revisited, Journal of Applied Geodesy, vol. 16, no. 3, 2022, pp. 217-227. https://doi.org/10.1515/jag-2021-0032LigasM. (2022), Comparison of kriging and least-squares collocation – Revisited, Journal of Applied Geodesy, Vol. 16, No. 3, 2022, pp. 217–227. https://doi.org/10.1515/jag-2021-0032Search in Google Scholar
Linnet. K. (1990). Estimation of the linear relationship between the measurements of two methods with proportional errors. Statist. Med.. 9: 1463-1473. https://doi.org/10.1002/sim.4780091210LinnetK. (1990). Estimation of the linear relationship between the measurements of two methods with proportional errors. Statist. Med.. 9: 1463–1473. https://doi.org/10.1002/sim.4780091210Search in Google Scholar
Luo, J., Chen, W., Ray, J., Li J., (2022), Short-Term Polar Motion Forecast Based on the Holt-Winters Algorithm and Angular Momenta of Global Surficial Geophysical Fluids. Surv Geophys. https://doi.org/10.1007/s10712-022-09733-0LuoJ.ChenW.RayJ.LiJ. (2022), Short-Term Polar Motion Forecast Based on the Holt-Winters Algorithm and Angular Momenta of Global Surficial Geophysical Fluids. Surv Geophys. https://doi.org/10.1007/s10712-022-09733-0Search in Google Scholar
Michalczak M., Ligas M., (2021) Kriging-based prediction of the Earth’s pole coordinates, Journal of Applied Geodesy, vol. 15, no. 3, pp. 233-241, https://doi.org/10.1515/jag-2021-0007MichalczakM.LigasM. (2021) Kriging-based prediction of the Earth”’s pole coordinates, Journal of Applied Geodesy, Vol. 15, No. 3, pp. 233–241, https://doi.org/10.1515/jag-2021-0007Search in Google Scholar
Michalczak M., Ligas M. (2022) The (ultra) short term prediction of length-of-day using kriging, Advances in Space Research, https://doi.org/10.1016/j.asr.2022.05.007MichalczakM.LigasM. (2022) The (ultra) short term prediction of length-of-day using kriging, Advances in Space Research, https://doi.org/10.1016/j.asr.2022.05.007Search in Google Scholar
Modiri S., Belda S., Hoseini M., Heinkelmann R., Ferrándiz J. M., Schuh H., (2020) A new hybrid method to improve the ultra-short-term prediction of LOD, Journal of Geodesy 94:23ModiriS.BeldaS.HoseiniM.HeinkelmannR.FerrándizJ. M.SchuhH. (2020) A new hybrid method to improve the ultra-short-term prediction of LOD, Journal of Geodesy94:23Search in Google Scholar
Nastula J., Chin T. M., Gross R., Śliwińska J., Wińska M., (2020) Smoothing and predicting celestial pole offsets using a Kalman filter and smoother, Journal of Geodesy 94:29NastulaJ.ChinT. M.GrossR.ŚliwińskaJ.WińskaM. (2020) Smoothing and predicting celestial pole offsets using a Kalman filter and smoother, Journal of Geodesy94:29Search in Google Scholar
Niedzielski T., Kosek W., (2008) Prediction of UT1–UTC, LOD and AAM χ3 by combination of least-squares and multivariate stochastic methods, J Geod 82:83–92NiedzielskiT.KosekW. (2008) Prediction of UT1–UTC, LOD and AAM χ3 by combination of least-squares and multivariate stochastic methods, J Geod82:83–92Search in Google Scholar
Okhotnikov G., Golyandina N. (2019) EOP Time Series Prediction Using Singular Spectrum Analysis″ RWTH Aahen UniversityOkhotnikovG.GolyandinaN. (2019) EOP Time Series Prediction Using Singular Spectrum Analysis”RWTH Aahen UniversitySearch in Google Scholar
Passing H. Bablok W.. (1983) A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry. Part I. J Clin Chem Clin Biochem. Nov;21(11):709-20. doi: 10.1515/cclm.1983.21.11.709. PMID: 6655447PassingH.BablokW. (1983) A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry. Part I. J Clin Chem Clin Biochem. Nov;21(11):709–20. doi: 10.1515/cclm.1983.21.11.709. PMID: 6655447Open DOISearch in Google Scholar
Petit G and Luzum B (eds.). IERS Conventions (2010), IERS Technical Note 36, Frankfurt am Main: Verlag des Bundesamts für Kartographie und Geodüsie. 179 pp., ISBN 3-89888-989-6PetitGLuzumB (eds.). IERS Conventions (2010), IERS Technical Note 36, Frankfurt am Main: Verlag des Bundesamts für Kartographie und Geodüsie. 179 pp., ISBN 3-89888-989-6Search in Google Scholar
Schuh H., Ulrich M., Egger D., Müller J., Schwegmann W. (2002) Prediction of Earth Orientation Parameters by Artificial Neural Networks, Journal of Geodesy, 76(5), 247–258, https://doi.org/10.1007/s00190-001-0242-5SchuhH.UlrichM.EggerD.MüllerJ.SchwegmannW. (2002) Prediction of Earth Orientation Parameters by Artificial Neural Networks, Journal of Geodesy, 76(5), 247–258, https://doi.org/10.1007/s00190-001-0242-5Search in Google Scholar
Wu F., Chang G., Deng K., (2019) One-step method for predicting LOD parameters based on LS+AR model″, Journal of Spatial Science, 66:2, 317-328, https://doi.org/10.1080/14498596WuF.ChangG.DengK. (2019) One-step method for predicting LOD parameters based on LS+AR model”, Journal of Spatial Science, 66:2, 317–328, https://doi.org/10.1080/14498596Search in Google Scholar
Zotov, Leonid & Bizouard, Ch. (2018). Escargot Effect and the Chandler Wobble Excitation, Journal of Physics: Conference Series, 955, 012033, doi: 10.1088/1742-6596/955/1/012033ZotovLeonidBizouardCh. (2018). Escargot Effect and the Chandler Wobble Excitation, Journal of Physics: Conference Series, 955, 012033, doi: 10.1088/1742-6596/955/1/012033Open DOISearch in Google Scholar