@article{HAMMEL:1979:DCOIPA,
   AUTHOR = {Hammel, E.A. and McDaniel, C.K. and Wachter, K.W.},
    TITLE = {Demographic consequences of incest tabus: A microsimulation
             analysis},
  JOURNAL = {Science},
   VOLUME = {205},
     YEAR = {1979},
    PAGES = {972--977},
       ID = {info:doi/10.1126/science.205.4410.972},
 ABSTRACT = {Theories of incest tabus usually stress the psychosocial advantages
             of marriage regulation. But marriage regulation may produce delays
             in mating and thus loss of fertility to a population. Computer
             microsimulation experiments measure the amount of fertility that
             must be achieved outside a normatively specified marriage system in
             order to keep population constant. This amount varies directly with
             scope of tabu and inversely with population size. For populations
             of hundreds it is negligible, but for populations of dozens it can
             be very great. In the latter, flexibility of marital arrangements
             may permit maintenance of fertility without repeated revision of
             rules of marriage.},
   }

        

@article{WACHTER:1979:PEIXAU:10.1086/157084,
   AUTHOR = {Wachter, K.W. and Leach, R. and Kellogg, E.},
    TITLE = {Parameter estimation in X-ray astronomy using maximum likelihood},
  JOURNAL = {The Astrophysical Journal},
   VOLUME = {230},
   NUMBER = {2},
     YEAR = {1979},
    PAGES = {274--287},
       ID = {info:doi/10.1086/157084},
 ABSTRACT = {Methods of estimation of parameter values and confidence regions by
             maximum likelihood and Fisher efficient scores starting from
             Poisson probabilities are developed for the nonlinear spectral
             functions commonly encountered in X-ray astronomy. It is argued
             that these methods offer significant advantages over the commonly
             used alternatives called minimum chi-squared because they rely on
             less pervasive statistical approximations and so may be expected to
             remain valid for data of poorer quality. Extensive numerical
             simulations of the maximum likelihood method are reported which
             verify that the best-fit parameter value and confidence region
             calculations are correct over a wide range of input spectra.},
   }