stop_time_detect: Detection of the optimal stopping time in a curve time series

In ftsa: Functional Time Series Analysis

Detection of the optimal stopping time in a curve time series

Description

Detecting the optimal stopping time for the glue curing of wood panels in an automatic process environment.

Usage

stop_time_detect(data, forecasting_method = c("ets", "arima", "rw"))

Arguments

data	An object of class fts
forecasting_method	A univariate time series forecasting method

Value

break_points_strucchange	Breakpoints detected by the regression approach
break_points_ecp	Breakpoints detected by the distance-based approach
err_forward	Forward integrated squared forecast errors
err_backward	Backward integrated squared forecast errors (ISFEs)
ncomp_select_forward	Number of components selected by the eigenvalue ratio tests based on the forward ISFEs
ncomp_select_backward	Number of components selected by the eigenvalue ratio tests based on the backward ISFEs

Author(s)

Han Lin Shang

References

Bekhta, P., Ortynska, G. and Sedliacik, J. (2014). Properties of modified phenol-formaldehyde adhesive for plywood panels manufactured from high moisture content veneer. Drvna Industrija 65(4), 293-301.

ftsa documentation built on Sept. 11, 2023, 5:09 p.m.