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  • Search: subject:"Sample autocorrelation function"
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Year of publication
Subject
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ARFIMA 3 impulse response function 3 sample autocorrelation function 3 sieve bootstrap 3 Autocorrelation 2 Autokorrelation 2 Estimation theory 2 Long memory 2 Sample autocorrelation function 2 Schätztheorie 2 Time series analysis 2 Zeitreihenanalyse 2 bootstrap-based bias correction 2 ARMA model 1 ARMA-Modell 1 Approximate test for autocorrelation 1 Auto bicorrelations 1 Bias 1 Bispectral density 1 Bootstrap approach 1 Bootstrap-Verfahren 1 Diagnostic check 1 Hassani’s −12/ theorem 1 Long-memory process 1 Long-range dependence 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Sampling 1 Spectral density function 1 Stationary process 1 Stichprobenerhebung 1 Systematischer Fehler 1 and phrases:Long memory 1 autocorrelation 1 bootstrap-based biascorrection 1 long-memory process 1 spectral density 1 sum of sample autocorrelation function 1 time series 1
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Online availability
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Free 4 Undetermined 2 CC license 1
Type of publication
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Article 3 Book / Working Paper 3
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 4 English 2
Author
All
Grose, Simone D. 3 Hassani, Hossein 3 Martin, Gael M. 3 Leonenko, Nikolai 1 Marvian, Leila 1 Patterson, Kerry 1 Poskitt, D.S. 1 Poskitt, Donald S. 1 Poskitt, Donald Stephen 1 Yarmohammadi, Masoud 1
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Institution
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Department of Econometrics and Business Statistics, Monash Business School 2
Published in...
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Monash Econometrics and Business Statistics Working Papers 2 Physica A: Statistical Mechanics and its Applications 2 Risks : open access journal 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
Source
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RePEc 4 ECONIS (ZBW) 2
Showing 1 - 6 of 6
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Uncovering hidden insights with long-memory process detection : an in-depth overview
Hassani, Hossein; Yarmohammadi, Masoud; Marvian, Leila - In: Risks : open access journal 11 (2023) 6, pp. 1-15
using the sample autocorrelation function (ACF) to identify long-memory processes. While the ACF establishes the theoretical …
Persistent link: https://www.econbiz.de/10014335857
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Bias Correction of Persistence Measures in Fractionally Integrated Models
Grose, Simone D.; Martin, Gael M.; Poskitt, D.S. - Department of Econometrics and Business Statistics, … - 2014
improvement yielded by pre-filtering in the case of the sample autocorrelation function is shown to depend heavily on the accuracy …
Persistent link: https://www.econbiz.de/10010958957
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Bias correction of persistence measures in fractionally integrated models
Grose, Simone D.; Martin, Gael M.; Poskitt, Donald Stephen - 2014 - Revised 13, 29
Persistent link: https://www.econbiz.de/10011780804
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Bias Correction of Persistence Measures in Fractionally Integrated Models
Grose, Simone D.; Martin, Gael M.; Poskitt, Donald S. - Department of Econometrics and Business Statistics, … - 2013
This paper investigates the accuracy of bootstrap-based bias correction of persistence measures for long memory fractionally integrated processes. The bootstrap method is based on the semi-parametric sieve approach, with the dynamics in the long memory process captured by an autoregressive...
Persistent link: https://www.econbiz.de/10010860421
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The sample autocorrelation function and the detection of long-memory processes
Hassani, Hossein; Leonenko, Nikolai; Patterson, Kerry - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 24, pp. 6367-6379
The detection of long-range dependence in time series analysis is an important task to which this paper contributes by showing that whilst the theoretical definition of a long-memory (or long-range dependent) process is based on the autocorrelation function, it is not possible for long memory to...
Persistent link: https://www.econbiz.de/10011059967
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A note on the sum of the sample autocorrelation function
Hassani, Hossein - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 8, pp. 1601-1606
It is shown that the sum of the sample autocorrelation function at lag h≥1 is always −12 for any stationary time series … with arbitrary length T≥2 (Hassani, 2009 [1]). In this paper, the distribution of a set of the sample autocorrelation … function using the properties of this quantity is considered. It is found that the distribution of a set of the sample …
Persistent link: https://www.econbiz.de/10011063467
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