Topic |
Reference |
Remarks |

Artificial neural network |
NO_{x} Exhausts |
Modeling the NO_{x} exhaust of an experimental motor |

Autocorrelation |
Weather Station Data |
Determining the time shift between the sun and the warming up of air
and sea water |

Chance Correlation |
Artifical Data |
See the effect of correlation by chance when the number of observations
is too low. |

Characterizing Distributions |
Artificial Data |
Design a data set showing a bimodal probability density function, and
calculate the most important measures of location and variation. |

Cluster Analysis |
Similar Mineral Waters |
Try to find the two most similar mineral waters |

Correlation |
Artificial Correlated Data |
Design an artificial data set with predefined correlations |

Distribution |
Delayed Trains |
What is the probability that a given measurement falls within a given
range |

Distribution |
Alcohol Content |
What is the probability that a given measurement falls within a given
range |

LDA |
Counterfeit Money |
Use linear discriminant analysis to discriminate between genuine and
counterfeit banknotes. |

Missing Values |
Mineral Waters |
Estimate missing values for moderately correlated data by multiple
regression |

MLR |
Polynomial Fit |
Calculate a polynomial fit by means of MLR |

MLR |
Collinearity |
The effect of collinear variables on MLR models |

MLR |
Boiling Points |
Estimation of boiling points from chemical structures |

Multivariate Modeling |
Henry Constants |
Use several multivariate modeling methods to estimate log(H) from structural
descriptors. |

Normal Distribution |
Artificial Data |
Design a data set showing a normal probability density function, shift
and scale it, and calculate the most important descriptive parameters of
it. |

Outliers |
Creating outliers |
Create two different data sets and experiment with outliers |

PCA |
Wine Blending |
Detecting mixtures in PCA plots |

PCA |
Artificial Data |
Dependence of principal component score on scaling of data |

PCA |
Classification of Wine |
Classify two unknown samples of wine |

PCR |
Octane Numbers |
Apply principal component regression as a combination of PCA and MLR |

Simple Regression |
Weight of Perch |
Try to Estimate the weight of perch from their body length |

Simple regression |
Solid Residues |
Establish the relationship between bicarbonate concentration and solid
residues of mineral waters. |

Simple regression |
Intestine Cancer |
Try to set up a model for the relationship between male and female
cancer data. |

t-Test |
Humidity of US cities |
Compare the relative humidities of 264 US cities |

t-Test |
Coins |
Use t-Test to decide whether coins lose weight during usage over the
years |

t-Test |
Reaction Times |
Test whether the reaction time of a person is above a certain threshold. |

t-Test |
Strontium concentration in
drinking water |
Compare the strontium concentration of several water wells in different
areas. |

Variability |
Reaction Times |
Measure your reaction time and calculate mean and standard deviation |