2015
DOI: 10.1016/j.asr.2015.09.007
|View full text |Cite
|
Sign up to set email alerts
|

Study of structural break points in global and hemispheric temperature series by piecewise regression

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
9
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 17 publications
(10 citation statements)
references
References 43 publications
1
9
0
Order By: Relevance
“…This procedure objectively estimates the change point of different tendencies in time series by combining a weighted least-squares criterion with a brute-force search and the linear trends before and after the discontinuity 58 . It is similar to the piecewise linear regression method with one change point reported in other publications 6 59 60 . The break function model for time series X(T ), written as…”
Section: Methodsmentioning
confidence: 81%
“…This procedure objectively estimates the change point of different tendencies in time series by combining a weighted least-squares criterion with a brute-force search and the linear trends before and after the discontinuity 58 . It is similar to the piecewise linear regression method with one change point reported in other publications 6 59 60 . The break function model for time series X(T ), written as…”
Section: Methodsmentioning
confidence: 81%
“…The statistic investigations are more complex because the global annual temperature anomalies series have structural breaks. In the case of filtered temperature series generated by removal of the AMO temperature influence the global temperatures have a structural break approximately in 1970, as well [38,44]. The aim of the present paper is not the statistical proof of the cause-effect relationship.…”
Section: Fig 7 the Adjusted By Equation (3) Temperatures (Thin Bluementioning
confidence: 87%
“…This modelling approach enables for the identification of changes in the outcome determined as trends or slopes and the location of change points [ 24 ]. Breakpoint regression has found several scientific applications: it has been applied, e.g., for the detection of changes in climate over time [ 25 ] and in time-series data [ 26 ]. One study examined annually aggregated data of suicides and found that changes of suicide methods over time coincided with governmental interventions, i.e.…”
Section: Methodsmentioning
confidence: 99%