The name is absent

For Xj > x_i, we have

if subject i is censored; (extended from Equation 3.6).

(3.18)

if subject i is failed; (extended from Equation 3.8).

Using the above computation results and other specifications as described earlier,
replace the unknown functions by their estimates at the initial step, and then max-
imize the likelihood functions in Equations 3.10 and 3.11 with respect to β and β_c,
respectively. Denote the resulting estimators for β and β_c by β(^v> and βc'* ■

Step 2,

Use β^,βi^m∖P^^m~¹∖β,Q^f_i^m-¹∖β, D_i^m~¹∖β and E∫^m"^υ(∙) to obtain S⅛ⁿ∖β and

⅛^m,(<) = _elp{-A<">(()}

i -≥h

∑x_i<x,∙ <5x_i,2^7^^υ(¾)

-⅛^{m 1,}(≈₃)e≈p(⅛∕3(^m))

∑._j≤√'"-¹>⅛)

Xj<t

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