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. Author manuscript; available in PMC: 2010 May 25.
Published in final edited form as: Biometrics. 2009 May 4;66(1):149–158. doi: 10.1111/j.1541-0420.2009.01260.x

Table 3.

Parametric and semiparametric estimation of β in model (1) of log X = −βTZ + ε for shrub widths data

Covariate Est. SE 95% CI Est. SE 95% CI
Para-L Para-W
Replicate 0.0701 0.0949 (−0.1159, 0.2562) −0.0100 0.0814 (−0.1697, 0.1496)
Transect I
Transect II −0.0341 0.0987 (−0.2276, 0.1593) −0.0531 0.0849 (−0.2195, 0.1132)
Transect III −0.0238 0.1930 (−0.4021, 0.3545) 0.2056 0.1533 (−0.0951, 0.5062)
Height −0.9993 0.1280 (−1.2501, 0.7484) −0.8895 0.1233 (−1.1313, −0.6478)
Stem −0.0131 0.0038 (−0.0206, −0.0056) −0.0115 0.0038 (−0.0190, −0.0040)
Semi-L Semi-G
Replicate −0.0240 0.0804 (−0.1817, 0.1337) −0.0600 0.0814 (−0.2175, 0.0976)
Transect I
Transect II −0.0758 0.0953 (−0.2625, 0.1110) −0.0652 0.0849 (−0.2520, 0.1216)
Transect III −0.1719 0.2054 (−0.5744, 0.2306) −0.1608 0.1533 (−0.5634, 0.2418)
Height −0.8132 0.1336 (−1.0751, −0.5514) −0.7485 0.0904 (−1.0103, −0.4866)
Stem −0.0142 0.0042 (−0.0226, −0.0059) −0.0146 0.0028 (−0.0228, −0.0064)