Theory of Probability and Its Applications · 1983 · 72 citations · 1 references
Natural SciencesEconomicsEconometricsStatisticsTime Series AnalysisDensity EstimationInferential StatisticsNoiseStatistical InferenceStochastic DominanceAsymptotic Distribution TheoryAsymptotic NormalityAutoregressive ModelsAutoregressive ProcessesAutoregressive Time Series ModelsEstimation ErrorGeneralized Autoregressive Conditional Heteroskedasticity ModelsLaw Of Iterated Logarithm
Previous article Next article Estimation of the Distribution of Noise in an Autoregression SchemeM. V. BoldinM. V. Boldinhttps://doi.org/10.1137/1127098PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Patrick Billingsley, Convergence of probability measures, John Wiley & Sons Inc., New York, 1968xii+253 38:1718 0172.21201 Google Scholar[2] L. A. Mugantseva, Testing normality in one-dimensional and multi-dimensional linear regression, Theory Prob. 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V. Boldin17 July 2006 | Theory of Probability & Its Applications, Vol. 34, No. 4AbstractPDF (518 KB)TIME SERIES RESIDUALS WITH APPLICATION TO PROBABILITY DENSITY ESTIMATIONJournal of Time Series Analysis, Vol. 8, No. 3 Cross Ref Volume 27, Issue 4| 1983Theory of Probability & Its Applications History Submitted:03 April 1981Published online:17 July 2006 InformationCopyright © 1983 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1127098Article page range:pp. 866-871ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics
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