Conditions under which conditionally independent random variables are posit
ive dependent are described in this paper. For example, it is shown that if
the conditionally independent random variables increase in the hazard rate
sense in the condition, then they are WBF (weakened by failures). It is al
so shown that if the conditionally independent random variables increase in
the likelihood ratio sense in the condition, then they are MTP2 (multivari
ate totally positive of order 2). The results are given for the cases in wh
ich the condition is either a random variable or a random vector. Some appl
ications in the areas of imperfect repair, budget allocation, random enviro
nments, and discrete-time filtering, illustrate the theory.