@book{Strohe1996,
  author    = {Strohe, Hans Gerhard},
  title     = {Statistik im DDR-Wirtschaftsstudium zwischen Ideologie und Wissenschaft},
  series = {Statistische Diskussionsbeitr{\"a}ge},
  volume    = {3},
  journal   = {Statistische Diskussionsbeitr{\"a}ge},
  publisher = {Univ.},
  address   = {Potsdam},
  pages     = {35 S.},
  year      = {1996},
  language  = {de}
}
@article{Strohe1996,
  author    = {Strohe, Hans Gerhard},
  title     = {Dynamic partial least squares models},
  year      = {1996},
  language  = {en}
}
@article{Strohe1995,
  author    = {Strohe, Hans Gerhard},
  title     = {Dynamic latent variables path models : an alternative PLS estimation},
  series = {Statistische Diskussionsbeitr{\"a}ge},
  volume    = {1},
  journal   = {Statistische Diskussionsbeitr{\"a}ge},
  publisher = {Univ.},
  address   = {Potsdam},
  pages     = {18 S.},
  year      = {1995},
  language  = {en}
}
@book{Strohe1995,
  author    = {Strohe, Hans Gerhard},
  title     = {Dynamic latent variables path models : an alternative PLS estimation},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-29498},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {1995},
  abstract  = {In this paper a partial least squares (PLS) approach to dynamic modelling with latent variables is proposed. Let Y be a matrix of manifest variables and H the matrix of the corresponding latent variables. And let H = BH+ε be a structural PLS model with a coefficient matrix B. Then this model can be made a dynamic one by substituting for B a matrix F = B + CL containing the lag operator L. Then the structural dynamic model H = FH+ε is formally estimated like an ordinary PLS model. In an exploratory way the model can be used for forecasting purposes. The procedure is being programmed in ISP.},
  language  = {en}
}
@article{Strohe1993,
  author    = {Strohe, Hans Gerhard},
  title     = {Weiche Modellierung umwelt{\"o}konomischer Zusammenh{\"a}nge},
  issn      = {0002-6018},
  year      = {1993},
  language  = {de}
}