Thieullen defined \(\alpha \) -metric as \( d^\alpha _n(x,y)=\max _{0\le i\le n-1}e^{i\alpha }d(T^ix,T^iy).\) Expanding upon this foundation, we introduce the notations of Pesin-Pitskel \(\alpha \) -estimation topological pressure and upper capacity \(\alpha \) -estimation topological pressure for subsets. We establish Billingsley theorems and variational principles for the Pesin-Pitskel \(\alpha \) -topological pressure of compact subsets, in terms of the lower Brin-Katok and Katok \(\alpha \) -estimation pressures. Furthermore, by employing techniques from convex analysis and functional analysis, we derive two variational principles involving Borel probability measures and T-invariant measures.