
Mixed-Effects Models in S and S-PLUS
2 429,-

Applied Time Series Analysis and Forecasting with Python
854,-

Introductory Statistics with R
674,-

The Grammar of Graphics
1 952,-

Computational Statistics
971,-

Visualization and Imputation of Missing Values
1 709,-

Graphics of Large Datasets
737,-

Visualizing Time
584,-

Applied Time Series Analysis and Forecasting with Python
1 214,-

R for SAS and SPSS Users
1 340,-

Mixed-Effects Models in S and S-PLUS
2 429,-

Applied Time Series Analysis and Forecasting with Python
854,-

Introductory Statistics with R
674,-

The Grammar of Graphics
1 952,-

Computational Statistics
971,-

Visualization and Imputation of Missing Values
1 709,-

Graphics of Large Datasets
737,-

Visualizing Time
584,-

Applied Time Series Analysis and Forecasting with Python
1 214,-

R for SAS and SPSS Users
1 340,-