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mae0610 [2017/07/07 11:13]
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mae0610 [2018/09/12 14:35]
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   - Shah, D.A. and Madden, L.V. (2004). Nonparametric analysis of ordinal data in designed factorial experiments. **Phytopathology,​ 94**, 33-43. doi: 10.1094/​PHYTO.2004.94.1.33 ​   - Shah, D.A. and Madden, L.V. (2004). Nonparametric analysis of ordinal data in designed factorial experiments. **Phytopathology,​ 94**, 33-43. doi: 10.1094/​PHYTO.2004.94.1.33 ​
   - Singer, J.M. and Andrade, D.F. (2000). Analysis of longitudinal data. In **Handbook of Statistics, Volume 18: Bio-Environmental and Public Health Statistics**,​\\ ​ eds. P.K. Sen and C.R. Rao. Amsterdam: North Holland, 115-160.   - Singer, J.M. and Andrade, D.F. (2000). Analysis of longitudinal data. In **Handbook of Statistics, Volume 18: Bio-Environmental and Public Health Statistics**,​\\ ​ eds. P.K. Sen and C.R. Rao. Amsterdam: North Holland, 115-160.
-  - Singer, J.M., Nobre, J.S. e Rocha, F.M.M. (2017). **Análise de Dados Longitudinais** (versão parcial preliminar).\\ http://​www.ime.usp.br/​~jmsinger/​MAE0610/​Singer&​Nobre&​Rocha2017junho.pdf (<fc #​FF0000>​NOVO</​fc>​)+  - Singer, J.M., Nobre, J.S. e Rocha, F.M.M. (2018). **Análise de Dados Longitudinais** (versão parcial preliminar).\\ http://​www.ime.usp.br/​~jmsinger/​MAE0610/​Singer&​Nobre&​Rocha201ago.pdf (<fc #​FF0000>​NOVO</​fc>​)
   - Singer, J.M., Poleto, F.Z. and Rosa, P. (2004). Parametric and nonparametric analyses of repeated ordinal categorical data. **Biometrical Journal, 46**, 460-473. doi: 10.1002/​bimj.200310045   - Singer, J.M., Poleto, F.Z. and Rosa, P. (2004). Parametric and nonparametric analyses of repeated ordinal categorical data. **Biometrical Journal, 46**, 460-473. doi: 10.1002/​bimj.200310045
   - Singer, J.M., Rocha, F.M.M. and Nobre, J.S. (2016). Graphical tools for detecting departures from linear mixed model assumptions and some remedial measures. **International Satistical Review** (accepted).\\ doi:​10.1111/​insr.12178 ​     - Singer, J.M., Rocha, F.M.M. and Nobre, J.S. (2016). Graphical tools for detecting departures from linear mixed model assumptions and some remedial measures. **International Satistical Review** (accepted).\\ doi:​10.1111/​insr.12178 ​  
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