Absent bodies and present memories: marking out the everyday and the future in Eastern Sri Lanka

Drawing from ethnographic work carried out between 2005 and 2007, this article considers the ways in which a women’s network has developed strategies to find meaning around the absences of loved ones, killed or ‘disappeared’ during the decades of conflict in Sri Lanka. For most of these women, the fate of their husbands, brothers, sons and fathers is not known and the lack of answers means that they are unable to fully grieve and find closure. In order to survive, they must find ways to deal with the absent bodies and present memories of those who may never be located and accounted for. These strategies include tree-planting ceremonies carried out as a way of not only remembering and mourning loved ones but also asking questions about how one makes sense of loss and what it means to carry the burden of unanswered absences through everyday life and into the future.     

Generating random variates from D-distributions via substitution sampling

Laud et al. (1993) describe a method for random variate generation from D-distributions. In this paper an alternative method using substitution sampling is given. An algorithm for the random variate generation from SD-distributions is also given.     

ON THE INDEPENDENCE OF THE SAMPLE MEAN AND TRANSLATION-INVARIANT STATISTICS FOR MATRIX NORMAL DISTRIBUTIONS

We present an explicit characterization of the joint dependency structure of an n×p matrix normal random matrix such that the p-dimensional sample mean vector is independent of all translation invariant statistics.     

Estimating fecundability from data on waiting times to first conception

"This article tests assumptions invoked in the demographic literature to estimate the population distribution of fecundability from data on waiting times to first conception. In continuous time, the key assumption is that waiting times are realizations from a mixture of exponentials distribution. In discrete time, the key assumption is that waiting times are realizations from a mixture of geometrics distribution. The [U.S.] Hutterite data analyzed by Sheps (1965) are consistent with this assumption. Various models, however, have one representation in mixture of exponentials form. A fundamental identification problem plagues the conventional estimation procedure. Our analysis calls into question the conventional practice of checking model specification by using goodness-of-fit tests. The practical importance of the identification problem in duration models is demonstrated."