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Improvement of the quality of the chi-square approximation for the ADF test on a covariance matrix with a linear structure

Journal of Statistical Planning and Inference(2011)10.1016/j.jspi.2010.11.012Source: DataRank Database

Improvement of the quality of the chi-square approximation for the ADF test on a covariance matrix with a linear structure is a research paper published in Journal of Statistical Planning and Inference (2011). On theSindex it has a DataRank of 0.424. It has been cited 4 times, with 4 citing works in its 1-hop citation network.

N/A

0.424DataRank · unranked

Scored on demand from live citation data

4 citations · 4 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 0.00)OA: closedTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 57%Citation Network 43%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

0.182

From 4 citing papers with measurable signal

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Authors (3)

H. Yanagihara,H. Wakaki,C. Matsumoto

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W2032513700

FWCI

0.00

Citation Percentile

0.1%

Citation Trend

2014

2017

2022

2023

closedLicense: https://www.elsevier.com/tdm/userlicense/1.0/

publisherhttps://api.elsevier.com/content/article/PII:S0378375810005124?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0378375810005124?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jspi.2010.11.012

Fields of Study

Random Matrices and ApplicationsStatistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Keywords

MathematicsTest statisticChi-square testPearson's chi-squared testStatisticsAsymptotic distributionF-testZ-testNull distributionF-test of equality of variancesCovariance matrixNormalityNormality testLikelihood-ratio testCovarianceApplied mathematicsStatistical hypothesis testing

Sustainable Development Goals

SDG 0: No poverty