Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes

A sequential procedure is developed to construct a fixed accuracy confidence interval (CI) of the common unknown variance of the random observations, where the observations arise from a first-order stationary autoregressive (AR(1)) process with a continuous and symmetric error distribution having me...

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Main Authors: Rahul Bhattacharya, Uttam Bandyopadhyay, Atanu Biswas, Pritam Sarkar
Format: Article
Language:English
Published: Taylor & Francis 2024-12-01
Series:Research in Statistics
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/27684520.2024.2379486
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author Rahul Bhattacharya
Uttam Bandyopadhyay
Atanu Biswas
Pritam Sarkar
author_facet Rahul Bhattacharya
Uttam Bandyopadhyay
Atanu Biswas
Pritam Sarkar
author_sort Rahul Bhattacharya
collection DOAJ
description A sequential procedure is developed to construct a fixed accuracy confidence interval (CI) of the common unknown variance of the random observations, where the observations arise from a first-order stationary autoregressive (AR(1)) process with a continuous and symmetric error distribution having mean zero and finite fourth-order moment. Using relevant estimators of the parameter of interest, related asymptotic properties of the derived fixed accuracy confidence interval are worked out. Furthermore, empirical evaluation of the proposed procedure together with application of it in the context of a real data is provided.
format Article
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institution OA Journals
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publishDate 2024-12-01
publisher Taylor & Francis
record_format Article
series Research in Statistics
spelling doaj-art-5ee53bae4e0946a0af8bf84896e413332025-08-20T02:18:25ZengTaylor & FrancisResearch in Statistics2768-45202024-12-012110.1080/27684520.2024.2379486Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processesRahul Bhattacharya0Uttam Bandyopadhyay1Atanu Biswas2Pritam Sarkar3Department of Statistics, University of Calcutta, Kolkata, IndiaDepartment of Statistics, University of Calcutta, Kolkata, IndiaApplied Statistics Unit, Indian Statistical Institute, Kolkata, IndiaDepartment of Statistics, University of Burdwan, Burdwan, IndiaA sequential procedure is developed to construct a fixed accuracy confidence interval (CI) of the common unknown variance of the random observations, where the observations arise from a first-order stationary autoregressive (AR(1)) process with a continuous and symmetric error distribution having mean zero and finite fourth-order moment. Using relevant estimators of the parameter of interest, related asymptotic properties of the derived fixed accuracy confidence interval are worked out. Furthermore, empirical evaluation of the proposed procedure together with application of it in the context of a real data is provided.https://www.tandfonline.com/doi/10.1080/27684520.2024.2379486Fixed accuracy confidence intervalmartingaleautoregressivestopping variable62F2562L12
spellingShingle Rahul Bhattacharya
Uttam Bandyopadhyay
Atanu Biswas
Pritam Sarkar
Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
Research in Statistics
Fixed accuracy confidence interval
martingale
autoregressive
stopping variable
62F25
62L12
title Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
title_full Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
title_fullStr Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
title_full_unstemmed Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
title_short Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
title_sort fixed accuracy confidence intervals for variance under first order stationary autoregressive processes
topic Fixed accuracy confidence interval
martingale
autoregressive
stopping variable
62F25
62L12
url https://www.tandfonline.com/doi/10.1080/27684520.2024.2379486
work_keys_str_mv AT rahulbhattacharya fixedaccuracyconfidenceintervalsforvarianceunderfirstorderstationaryautoregressiveprocesses
AT uttambandyopadhyay fixedaccuracyconfidenceintervalsforvarianceunderfirstorderstationaryautoregressiveprocesses
AT atanubiswas fixedaccuracyconfidenceintervalsforvarianceunderfirstorderstationaryautoregressiveprocesses
AT pritamsarkar fixedaccuracyconfidenceintervalsforvarianceunderfirstorderstationaryautoregressiveprocesses