> Publishers' series
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1:
Hierarchical linear models applications and data analysis methods Stephen W. Raudenbush; Anthony S. Bryk
Thousand Oaks, Calif. [u.a.]: Sage Publ., 2010
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1:
Hierarchical linear models applications and data analysis methods Stephen W. Raudenbush, Anthony S. Bryk
Thousand Oaks; London; New Delhi: Sage Publications, [2002]
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7:
Regression models for categorical and limited dependent variables J. Scott Long
Thousand Oaks, Calif. [u.a.]: Sage Publications, 1997
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8:
Log-linear models for event histories Jeroen K. Vermunt
Thousand Oaks [u.a.]: SAGE, 1997
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6:
Latent class and discrete latent trait models similarities and differences Ton Heinen
Thousand Oaks, Calif. [u.a.]: Sage Publications, 1996
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5:
Facet theory form and content Ingwer Borg; Samuel Shye
Thousand Oaks, Calif. [u.a.]: Sage, 1995
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4:
Statistical models for ordinal variables Clifford C. Clogg; Edward S. Shihadeh
Thousand Oaks, Calif. [u.a.]: Sage Publ., 1995
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2:
Multivariate analysis of categorical data [1] Theory John P. van de Geer
Newbury Park: Sage, 1993
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3:
Multivariate analysis of categorical data 2 Applications John P. van de Geer
Newbury Park: Sage, 1993
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1:
Hierarchical linear models applications and data analysis methods Anthony S. Bryk; Stephen W. Raudenbush
Newbury Park [u.a.]: Sage Publ., 1992