@article{AlbannaLuekeSjapicetal.2017,
  author    = {Albanna, Walid and Lueke, Jan Niklas and Sjapic, Volha and Kotliar, Konstantin and Hescheler, J{\"u}rgen and Clusmann, Hans and Sjapic, Sergej and Alpdogan, Serdan and Schneider, Toni and Schubert, Gerrit Alexander and Neumaier, Felix},
  title     = {Electroretinographic Assessment of Inner Retinal Signaling in the Isolated and Superfused Murine Retina},
  series = {Current Eye Research},
  journal   = {Current Eye Research},
  number    = {Article in press},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {1460-2202},
  doi       = {10.1080/02713683.2017.1339807},
  pages     = {1 -- 9},
  year      = {2017},
  language  = {en}
}
@article{BaringhausGaigall2017,
  author    = {Baringhaus, Ludwig and Gaigall, Daniel},
  title     = {On Hotelling's T² test in a special paired sample case},
  series = {Communications in Statistics - Theory and Methods},
  volume    = {48},
  journal   = {Communications in Statistics - Theory and Methods},
  number    = {2},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {1532-415X},
  doi       = {10.1080/03610926.2017.1408828},
  pages     = {257 -- 267},
  year      = {2017},
  abstract  = {In a special paired sample case, Hotelling's T² test based on the differences of the paired random vectors is the likelihood ratio test for testing the hypothesis that the paired random vectors have the same mean; with respect to a special group of affine linear transformations it is the uniformly most powerful invariant test for the general alternative of a difference in mean. We present an elementary straightforward proof of this result. The likelihood ratio test for testing the hypothesis that the covariance structure is of the assumed special form is derived and discussed. Applications to real data are given.},
  language  = {en}
}