Many of the important conclusions about gamma-ray bursts follow from t
he distributions of various quantities such as peak flux or duration.
We show that for astrophysical transients such as bursts, multiple sel
ection thresholds can lead to various forms of data truncation, which
can strongly affect the distributions obtained from the data if not ac
counted for properly. Thus, the data should be considered to form a mu
ltivariate distribution. We also Caution that if the variables forming
the multivariate distribution are not statistically independent of ea
ch other, further biases can result. A general method is described to
properly account for these effects, and as a specific example, we extr
act the distributions of flux and duration from the BATSE 3B gamma-ray
burst data. It is shown that properly accounting for the aforemention
ed biases tends to increase the dope of the log N-log S relation at lo
w values of S and increases the number of short-duration bursts.