  We discuss the combining of measurements where single measurement covariances
are given but the joint measurement covariance is unknown. For this paper we
assume the mapping of a single measurement to the solution space is the
identity matrix. We examine the solution when it is assumed all measurements
are uncorrelated. We then present a way to parameter joint measurement
covariance based on pairwise correlation coefficients. Finally, we discuss how
to use this parameterization to combine the measurements.
