{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T09:50:03Z","timestamp":1779184203731,"version":"3.51.4"},"reference-count":0,"publisher":"Canadian Science Publishing","issue":"3","license":[{"start":{"date-parts":[[1999,3,1]],"date-time":"1999-03-01T00:00:00Z","timestamp":920246400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.nrcresearchpress.com\/page\/about\/CorporateTextAndDataMining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Can. J. For. Res."],"published-print":{"date-parts":[[1999,3,1]]},"abstract":"<jats:p> A nonlinear regression approach is proposed to estimate the parameters of the Johnson S<jats:sub>B<\/jats:sub> distribution. This method was compared to five other methods; these were the four percentile points method, the Knoebel-Burkhart method, the linear regression method, the maximum likelihood (Newton-Raphson) method, and the modified maximum likelihood method through simulation. The performance of the nonlinear regression method was also investigated by using the real diameter data collected from 20 even-aged sample plots of the Acacia mangium Willd. plantation in Sandakan, Sabah, measured annually from age 2 to 8 years. Goodness-of-fit tests based on empirical distribution function (namely the Kolmogorov-Smirnov statistic, Cramer - von Mises statistic, and the Anderson-Darling statistic) were used in selecting the most superior parameter estimation method. Results suggested that the nonlinear regression method was superior for estimating parameters of the Johnson S<jats:sub>B<\/jats:sub> distribution for diameter data in terms of bias, root mean square error, and goodness-of-fit tests. <\/jats:p>","DOI":"10.1139\/x98-197","type":"journal-article","created":{"date-parts":[[2011,4,23]],"date-time":"2011-04-23T18:36:13Z","timestamp":1303583773000},"page":"310-314","source":"Crossref","is-referenced-by-count":20,"title":["Nonlinear regression approach to estimating Johnson <i>S<\/i><sub>B<\/sub> parameters for diameter data"],"prefix":"10.1139","volume":"29","author":[{"given":"Kamziah Abd","family":"Kudus","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M I","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaffirin","family":"Lapongan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"155","container-title":["Canadian Journal of Forest Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.nrcresearchpress.com\/doi\/pdf\/10.1139\/x98-197","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,6]],"date-time":"2020-01-06T04:16:02Z","timestamp":1578284162000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.nrcresearchpress.com\/doi\/10.1139\/x98-197"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,3,1]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1999,3,1]]}},"alternative-id":["10.1139\/x98-197"],"URL":"https:\/\/doi.org\/10.1139\/x98-197","relation":{},"ISSN":["0045-5067","1208-6037"],"issn-type":[{"value":"0045-5067","type":"print"},{"value":"1208-6037","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,3,1]]}}}