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@@ -1245,12 +1245,14 @@
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}
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}
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],
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],
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"source": [
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"source": [
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- "# Each current API method includes the original-data MLE as its first row.\n",
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- "bpars_nonpar = logit.get_nonparam_boots_pars(x, y, n_boots, seed=1977)\n",
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- "bpars_nonpar_strat = logit.get_nonparam_stratified_boots_pars(x, y, n_boots, seed=1978)\n",
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- "bpars_param = logit.get_parametric_boots_pars(x, y, n_boots, seed=1979)\n",
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+ "# Each method returns exactly n_boots bootstrap estimates. The original-data\n",
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+ "# MLE is used as the initial point for fitting each replicate but is not\n",
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+ "# included as a row in the returned bootstrap array.\n",
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+ "btheta_nonpar = logit.get_nonparam_boots_theta(x, y, n_boots, seed=1977)\n",
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+ "btheta_nonpar_strat = logit.get_nonparam_stratified_boots_theta(x, y, n_boots, seed=1978)\n",
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+ "btheta_param = logit.get_parametric_boots_theta(x, y, n_boots, seed=1979)\n",
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"\n",
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"\n",
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- "print(bpars_nonpar.shape, bpars_nonpar_strat.shape, bpars_param.shape)"
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+ "print(btheta_nonpar.shape, btheta_nonpar_strat.shape, btheta_param.shape)"
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]
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]
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},
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},
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{
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{
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