  We propose a change of style for numerical estimations of physical quantities
from measurements to inferences. We estimate the most probable quantities for
all the parameter region simultaneously by using the raw data cooperatively.
Estimations with higher precisions are made possible. We can obtain a physical
quantity as a continuous function, which is differentiated to obtain another
quantity. We applied the method to the Heisenberg spin-glass model in three
dimensions. A dynamic correlation-length scaling analysis suggests that the
spin-glass and the chiral-glass transitions occur at the same temperature with
a common exponent $\nu$. The value is consistent with the experimental results.
We found that a size-crossover effect explains a spin-chirality separation
problem.
