Dataset (Forecasting)

Lynx

Load the Lynx dataset for univariate time series forecasting.

Notes

This dataset contains the annual number of lynx trappings in Canada from 1821 to 1934. It records the number of lynx skins collected over several years by the Hudson’s Bay Company. The data was obtained from Brockwell & Davis (1991) and has been analyzed by Campbell & Walker (1977).

Dimensionality: univariate Series length: 114 Frequency: Yearly Number of cases: 1

This data exhibits aperiodic, cyclical patterns rather than periodic, seasonal patterns.

References

[1]

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S

Language. Wadsworth & Brooks/Cole.

[2]

Campbell, M. J. and Walker, A. M. (1977). A Survey of statistical

work on the Mackenzie River series of annual Canadian lynx trappings for the years 1821-1934 and a new analysis. Journal of the Royal Statistical Society series A, 140, 411-431.

Examples

>>> from sktime.datasets.forecasting import Lynx
>>> y = Lynx().load("y")

Schnellstart

python

from sktime.datasets.forecasting.lynx import Lynx

estimator = Lynx

Beispiele

>>> from sktime.datasets.forecasting import Lynx
>>> y = Lynx (). load ("y")

Referenzen

[1]

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S

Language. Wadsworth & Brooks/Cole.

[2]

Campbell, M. J. and Walker, A. M. (1977). A Survey of statistical

work on the Mackenzie River series of annual Canadian lynx trappings for the years 1821-1934 and a new analysis. Journal of the Royal Statistical Society series A, 140, 411-431.