97485 articleid 16962281v31n1p55 eng Chou, I-Chun Georgia Institute of Technology and Emory University Parameter estimation of S-distributions with alternating regression We propose a novel 3-way alternating regression (3-AR) method as an effective strategy for the estimation of parameter values in S-distributions from frequency data. The 3-AR algorithm is very fast and performs well for error-free distributions and artificial noisy data obtained as random samples generated from S-distributions, as well as for traditional statistical distributions and for actual observation data. In rare cases where the algorithm does not immediately converge, its enormous speed renders it feasible to select several initial guesses and search settings as an effective countermeasure. Tots els drets reservats http://www.europeana.eu/rights/rr-f/ Anglès Article de fons Alternating regression Parameter estimation S-distribution S-system info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Martens, Harald Norwegian U. of Life Sciences Voit, Eberhard O. Georgia Institute of Technology and Emory University Vol. 31, Núm. 1 (January-June 2007), p. 55-74 SORT : statistics and operations research transactions 1696-2281 20 1009743 http://ddd.uab.cat/uab/sort/sort_a2007m1-6v31n1/sort_a2007m1-6v31n1p55.pdf 0055 74 January-June 1 31 sort_a2007m1-6v31n1 2007 ARTPUB SORT UAB artpubuab oai:ddd.uab.cat:97485 driver