  The delay time distribution of Type Ia supernovae (the time-dependent rate of
supernovae resulting from a burst of star formation) has been measured using
different techniques and in different environments. Here, we study in detail
the distribution for field galaxies, using the SDSS DR7 Stripe 82 supernova
sample. We improve a technique we introduced earlier, which is based on galaxy
color and luminosity, and is insensitive to details of the star formation
history, to include the normalization. Assuming a power-law dependence of the
supernova rate with time, ${\rm DTD}(t)=A(t/{\rm 1\,Gyr})^{s}$, we find a
power-law index $s= -1.34 ^{+0.19} _{-0.17}$ and a normalization $\rm{log}\ A=
-12.15 ^{+0.10} _{-0.13}\, {\rm dex}(M_\odot ^{-1}\, \rm{yr}^{-1})$,
corresponding to a number of type Ia supernovae integrated over a Hubble time
of $PE = 0.004^{+0.002} _{-0.001}\, M_\odot ^{-1}$. We also implement a method
used by Maoz and collaborators, which is based on star formation history
reconstruction, and find that this gives a consistent result for the slope, but
a lower, marginally inconsistent normalization. With our normalization, the
distribution for field galaxies is made consistent with that derived for
cluster galaxies. Comparing the inferred distribution with predictions from
different evolutionary scenarios for type Ia supernovae, we find that our
results are intermediate between the various predictions and do not yet
constraint the evolutionary path leading to SNe~Ia.
