Carpet 'Extreme value statistics'
Italy, 2004
Wool, hand-knotted
285 x 285 cm
112.2 x 112.2 in
Available upon request
The design of the carpets in this series reproduces the forms of tire tracks. The design reproduces a rainflow histogram. The extreme value theory is a branch of statistics that studies the extreme variation from the median of probability distributions. Its results are very useful to study the risk of rare events or those of exceptional intensity. Algorithmic rainflow counting is used to analyze strain data in order to reduce a range of different stresses to a series of simple stresses.
Wool, hand-knotted
285 x 285 cm
112.2 x 112.2 in
Available upon request
The design of the carpets in this series reproduces the forms of tire tracks. The design reproduces a rainflow histogram. The extreme value theory is a branch of statistics that studies the extreme variation from the median of probability distributions. Its results are very useful to study the risk of rare events or those of exceptional intensity. Algorithmic rainflow counting is used to analyze strain data in order to reduce a range of different stresses to a series of simple stresses.
Code: #V695
Carpet 'Extreme value statistics'
Italy, 2004
Wool, hand-knotted
285 x 285 cm
112.2 x 112.2 in
Available upon request
The design of the carpets in this series reproduces the forms of tire tracks. The design reproduces a rainflow histogram. The extreme value theory is a branch of statistics that studies the extreme variation from the median of probability distributions. Its results are very useful to study the risk of rare events or those of exceptional intensity. Algorithmic rainflow counting is used to analyze strain data in order to reduce a range of different stresses to a series of simple stresses.
Wool, hand-knotted
285 x 285 cm
112.2 x 112.2 in
Available upon request
The design of the carpets in this series reproduces the forms of tire tracks. The design reproduces a rainflow histogram. The extreme value theory is a branch of statistics that studies the extreme variation from the median of probability distributions. Its results are very useful to study the risk of rare events or those of exceptional intensity. Algorithmic rainflow counting is used to analyze strain data in order to reduce a range of different stresses to a series of simple stresses.
Code: #V695