Testing linearity in univariate, time series models
Scandinavian Journal of StatisticsPublished 1 January 1988
Ritva Luukkonen, Pentti Saikkonen, Timo Teräsvirta
Citations147
SJR quartileQ1
SJR score0.87
SNIP1.00
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
On considere l'utilisation de differents tests de multiplicateurs de Lagrange pour tester la linearite de modeles de series temporelles univariables contre des alternatives non lineaires
Keywords
Computer ScienceMathematicsEconomics, Econometrics and Finance
IEEE Transactions on Automatic ControlA new look at the statistical model identification
50,732 Citations1974Hirotugu Akaike
Journal of EconometricsGeneralized autoregressive conditional heteroskedasticity
22,300 Citations1986Tim Bollerslev
EconometricaAutoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
20,637 Citations1982Robert F. Engle
BiometrikaOn a measure of lack of fit in time series models
6,012 Citations1978Greta M. Ljung, George E. P. Box
AutomaticaModeling by shortest data description
5,944 Citations1978J. Rissanen
The number of digits it takes to write down an observed sequence x1,...,xN of a time series depends on the model with its parameters that one assumes to have generated the observed data.
BiometrikaHypothesis testing when a nuisance parameter is present only under the alternative
2,064 Citations1987Robert B. Davies
Lecture notes in statisticsThreshold Models in Non-linear Time Series Analysis
1,535 Citations1983Howell Tong
This chapter discusses SETAR Modelling, Threshold Models and Discrete-Time Non-Linear Vibrations, and some Advantages and Some Limitations of Arma Models.
Journal of the Royal Statistical Society Series B (Statistical Methodology)Threshold Autoregression, Limit Cycles and Cyclical Data
1,307 Citations1980H. Tong, K. S. Lim
Journal of Time Series AnalysisDIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED‐RESIDUAL AUTOCORRELATIONS
1,133 Citations1983A. Ian McLeod, W. K. Li
Journal of Time Series AnalysisTESTING FOR GAUSSIANITY AND LINEARITY OF A STATIONARY TIME SERIES
786 Citations1982Melvin J. Hinich
Journal of the Royal Statistical Society Series A (General)An Introduction to Bispectral Analysis and Bilinear Time Series Models.
459 Citations1987G. Janacek, T. Subba Rao +1 more
BiometrikaModelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model
420 Citations1981V. Haggan, Tohru Ozaki
Journal of Time Series AnalysisA TEST FOR LINEARITY OF STATIONARY TIME SERIES
346 Citations1980T. Subba Rao, M. M. Gabr
BiometrikaA Tukey nonadditivity-type test for time series nonlinearity
344 Citations1985Daniel M. Keenan
Journal of Time Series AnalysisA DIAGNOSTIC TEST FOR NONLINEAR SERIAL DEPENDENCE IN TIME SERIES FITTING ERRORS
161 Citations1986Richard Ashley, Douglas M. Patterson +1 more
BiometrikaA portmanteau test for self-exciting threshold autoregressive-type nonlinearity in time series
126 Citations1986Joseph D. Petruccelli, Neville Davies
Journal of Business and Economic StatisticsARCH and Bilinear Time Series Models: Comparison and Combination
88 Citations1986Andrew Weiss
Journal of EconometricsUseful invariance results for generalized regression models
76 Citations1980Trevor Breusch
Journal of the Royal Statistical Society Series B (Statistical Methodology)The Asymptotic Powers of Certain Tests Based on Multiple Correlations
58 Citations1956E. J. Hannan
