  This paper presents two novel classes of variance estimators with superior
properties, in the absence of parametric or semi-parametricassumptions. The
first new class of estimator is the Oblozene Chlebizky (OC) variance estimators
as a novel alternative to the generalized sandwich in Paper 1 of 4. That the OC
concept is unlikely to arise from other, more standard, frameworks is
manifestly true in light of the 40 year lacuna since White (1980). For any
member of the generalized sandwich variance estimator class, there is an OC
with the same expected value. The this alternative replaces a random matrix at
the center with a nonrandom one. The second type of estimator is guaranteed
conservative for the variance of the estimator and is based upon a similar
principle of replacing a random matrix with its expectation.
