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Citation(s) in
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12
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For:
Hryniewicz O
.
Goodman–Kruskal measure of dependence for fuzzy ordered categorical data.
Comput Stat Data Anal
2006. [DOI:
10.1016/j.csda.2006.04.014
]
[
Citation(s) in
RCA
: 13
]
[
Impact Index Per Article: 0.7
]
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[Indexed: 10/24/2022]
Number
Cited by Other Article(s)
1
Akbari MG
, Hesamian G. Testing statistical hypotheses for intuitionistic fuzzy data.
Soft comput
2019. [DOI:
10.1007/s00500-018-3590-2
]
[
Citation(s) in
RCA
: 6
]
[
Impact Index Per Article: 1.2
]
[
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]
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[Indexed: 11/29/2022]
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2
Akbari MG
, Hesamian G. Neyman–Pearson lemma based on intuitionistic fuzzy parameters.
Soft comput
2019. [DOI:
10.1007/s00500-018-3252-4
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
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[Indexed: 10/16/2022]
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3
Hesamian G
, Akbari MG. Statistical test based on intuitionistic fuzzy hypotheses.
COMMUN STAT-THEOR M
2017. [DOI:
10.1080/03610926.2016.1208241
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.6
]
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[Indexed: 10/21/2022]
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Affiliation(s)
Gholamreza Hesamian
Department of Statistics, Payame Noor University, Tehran, Iran
Mohamad Ghasem Akbari
Department of Mathematical Sciences, University of Birjand, Birjand, Iran
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4
Kvålseth TO
. An alternative measure of ordinal association as a value-validity correction of the Goodman–Kruskal gamma.
COMMUN STAT-THEOR M
2017. [DOI:
10.1080/03610926.2016.1239114
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.6
]
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[Indexed: 10/20/2022]
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Affiliation(s)
Tarald O. Kvålseth
Departments of Mechanical Engineering and Industrial and Systems Engineering, University of Minnesota, Minneapolis, Minnesota, USA
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5
Opara KR
, Hryniewicz O. Computation of general correlation coefficients for interval data.
Int J Approx Reason
2016. [DOI:
10.1016/j.ijar.2016.02.007
]
[
Citation(s) in
RCA
: 2
]
[
Impact Index Per Article: 0.3
]
[
Reference Citation Analysis
]
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[Indexed: 10/22/2022]
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6
Taheri SM
, Hesamian G, Viertl R. Contingency tables with fuzzy information.
COMMUN STAT-THEOR M
2016. [DOI:
10.1080/03610926.2014.953688
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.5
]
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[Indexed: 10/22/2022]
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7
Parametric testing statistical hypotheses for fuzzy random variables.
Soft comput
2015. [DOI:
10.1007/s00500-015-1604-x
]
[
Citation(s) in
RCA
: 25
]
[
Impact Index Per Article: 2.8
]
[
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[Indexed: 11/26/2022]
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8
Perolat J
, Couso I, Loquin K, Strauss O. Generalizing the Wilcoxon rank-sum test for interval data.
Int J Approx Reason
2015. [DOI:
10.1016/j.ijar.2014.08.001
]
[
Citation(s) in
RCA
: 22
]
[
Impact Index Per Article: 2.4
]
[
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[Indexed: 10/24/2022]
Abstract
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9
Two-sample Kolmogorov–Smirnov fuzzy test for fuzzy random variables.
Stat Pap (Berl)
2013. [DOI:
10.1007/s00362-013-0566-2
]
[
Citation(s) in
RCA
: 11
]
[
Impact Index Per Article: 1.0
]
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[Indexed: 10/26/2022]
Abstract
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10
Arefi M
, Taheri SM. A new approach for testing fuzzy hypotheses based on fuzzy data.
INT J COMPUT INT SYS
2013. [DOI:
10.1080/18756891.2013.769768
]
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Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 10/26/2022]
Open
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11
Taheri SM
, Hesamian G. A generalization of the Wilcoxon signed-rank test and its applications.
Stat Pap (Berl)
2012. [DOI:
10.1007/s00362-012-0443-4
]
[
Citation(s) in
RCA
: 40
]
[
Impact Index Per Article: 3.3
]
[
Reference Citation Analysis
]
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[Indexed: 10/28/2022]
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12
Coppi R
, Gil MA, Kiers HA. The fuzzy approach to statistical analysis.
Comput Stat Data Anal
2006. [DOI:
10.1016/j.csda.2006.05.012
]
[
Citation(s) in
RCA
: 41
]
[
Impact Index Per Article: 2.3
]
[
Reference Citation Analysis
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[Indexed: 10/24/2022]
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