article published Jan Beran author Yuanhua Feng author 20760 206 department Elsevier BV2002 eng 0167-947310.1016/s0167-9473(02)00007-5 402393-419 yes Beran, Jan, and Yuanhua Feng. “SEMIFAR Models—a Semiparametric Approach to Modelling Trends, Long-Range Dependence and Nonstationarity.” <i>Computational Statistics &#38; Data Analysis</i>, vol. 40, no. 2, Elsevier BV, 2002, pp. 393–419, doi:<a href="https://doi.org/10.1016/s0167-9473(02)00007-5">10.1016/s0167-9473(02)00007-5</a>. @article{Beran_Feng_2002, title={SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity}, volume={40}, DOI={<a href="https://doi.org/10.1016/s0167-9473(02)00007-5">10.1016/s0167-9473(02)00007-5</a>}, number={2}, journal={Computational Statistics &#38; Data Analysis}, publisher={Elsevier BV}, author={Beran, Jan and Feng, Yuanhua}, year={2002}, pages={393–419} } Beran J, Feng Y. SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity. <i>Computational Statistics &#38; Data Analysis</i>. 2002;40(2):393-419. doi:<a href="https://doi.org/10.1016/s0167-9473(02)00007-5">10.1016/s0167-9473(02)00007-5</a> J. Beran and Y. Feng, “SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity,” <i>Computational Statistics &#38; Data Analysis</i>, vol. 40, no. 2, pp. 393–419, 2002. Beran, J., &#38; Feng, Y. (2002). SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity. <i>Computational Statistics &#38; Data Analysis</i>, <i>40</i>(2), 393–419. <a href="https://doi.org/10.1016/s0167-9473(02)00007-5">https://doi.org/10.1016/s0167-9473(02)00007-5</a> J. Beran, Y. Feng, Computational Statistics &#38; Data Analysis 40 (2002) 393–419. Beran, Jan, and Yuanhua Feng. “SEMIFAR Models—a Semiparametric Approach to Modelling Trends, Long-Range Dependence and Nonstationarity.” <i>Computational Statistics &#38; Data Analysis</i> 40, no. 2 (2002): 393–419. <a href="https://doi.org/10.1016/s0167-9473(02)00007-5">https://doi.org/10.1016/s0167-9473(02)00007-5</a>. 46172018-10-10T11:18:08Z2022-01-06T07:01:15Z