Optimally distinguishable distributions: a new approach to composite hypothesis testing with applications to the classical linear model

Seyed Alireza Razavi, Ciprian Doru Giurcaneanu. Optimally distinguishable distributions: a new approach to composite hypothesis testing with applications to the classical linear model. IEEE Transactions on Signal Processing, 57(7):2445-2455, 2009. [doi]

@article{RazaviG09,
  title = {Optimally distinguishable distributions: a new approach to composite hypothesis testing with applications to the classical linear model},
  author = {Seyed Alireza Razavi and Ciprian Doru Giurcaneanu},
  year = {2009},
  doi = {10.1109/TSP.2009.2017568},
  url = {http://dx.doi.org/10.1109/TSP.2009.2017568},
  tags = {testing, systematic-approach},
  researchr = {https://researchr.org/publication/RazaviG09},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Signal Processing},
  volume = {57},
  number = {7},
  pages = {2445-2455},
}