Pseudo-exponential distribution and its statistical applications in econophysics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Hossein Mehri-Dehnavi, Hamzeh Agahi, Radko Mesiar

ABSTRACT

In generalized measure theory, σ-⊕-measure is a generalization of the classical measure defined on a pseudo-addition. In this paper, the class of pseudo-exponential distributions based on a class of σ-⊕-measure is introduced. Some examples of this class are investigated. Then by two real data sets obtained from the last three decades of oil, and the last two decades of the daily natural gas spot prices, we show that the pseudo-exponential distribution is better fitted than exponential distribution using the AIC and BIC information criteria. More... »

PAGES

1-7

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00500-018-3623-x

DOI

http://dx.doi.org/10.1007/s00500-018-3623-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110065071


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Babol Noshirvani University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411496.f", 
          "name": [
            "Department of Physics, Faculty of Basic Science, Babol Noshirvani University of Technology, Shariati Ave., 47148-71167, Babol, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mehri-Dehnavi", 
        "givenName": "Hossein", 
        "id": "sg:person.011622700245.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011622700245.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Babol Noshirvani University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411496.f", 
          "name": [
            "Department of Mathematics, Faculty of Basic Science, Babol Noshirvani University of Technology, Shariati Ave., 47148-71167, Babol, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Agahi", 
        "givenName": "Hamzeh", 
        "id": "sg:person.011040152213.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011040152213.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Information Theory and Automation", 
          "id": "https://www.grid.ac/institutes/grid.424990.2", 
          "name": [
            "Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology, 810 05, Bratislava, Slovakia", 
            "Institute of Information Theory and Automation of the Czech Academy of Sciences, Pod vod\u00e1renskou v\u011b\u017ei 4, 182 08, Praha 8, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mesiar", 
        "givenName": "Radko", 
        "id": "sg:person.013374353164.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013374353164.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/b978-044450263-6/50036-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002005254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s005000050007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002249114", 
          "https://doi.org/10.1007/s005000050007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physa.2006.04.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004230987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1008169901", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-8901-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008169901", 
          "https://doi.org/10.1007/978-94-015-8901-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-8901-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008169901", 
          "https://doi.org/10.1007/978-94-015-8901-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0362-546x(97)00568-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011356792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physa.2012.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011849184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1017490034", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-69959-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017490034", 
          "https://doi.org/10.1007/978-3-642-69959-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-69959-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017490034", 
          "https://doi.org/10.1007/978-3-642-69959-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0114(98)00213-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019393257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.knosys.2012.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026996263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fnhum.2015.00368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028045501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fss.2013.06.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033622580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0004-637x/764/1/35", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034104445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.asr.2003.05.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041877710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1256/qj.04.134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045738986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1256/qj.04.134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045738986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-4371(01)00298-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051597158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0114(98)00214-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052865753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1722436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057789423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.336003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057941418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1070/rm1996v051n06abeh003011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058196877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.42.819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060783958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.42.819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060783958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.59.1037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060795473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.59.1037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060795473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1090/conm/377/06995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1089201460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511755767", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098674191"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-01", 
    "datePublishedReg": "2019-01-01", 
    "description": "In generalized measure theory, \u03c3-\u2295-measure is a generalization of the classical measure defined on a pseudo-addition. In this paper, the class of pseudo-exponential distributions based on a class of \u03c3-\u2295-measure is introduced. Some examples of this class are investigated. Then by two real data sets obtained from the last three decades of oil, and the last two decades of the daily natural gas spot prices, we show that the pseudo-exponential distribution is better fitted than exponential distribution using the AIC and BIC information criteria.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00500-018-3623-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1050238", 
        "issn": [
          "1432-7643", 
          "1433-7479"
        ], 
        "name": "Soft Computing", 
        "type": "Periodical"
      }
    ], 
    "name": "Pseudo-exponential distribution and its statistical applications in econophysics", 
    "pagination": "1-7", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "33aa37d900889e12d00378a38e67adce345bd60112d9800adfb47c26714c6773"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00500-018-3623-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110065071"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00500-018-3623-x", 
      "https://app.dimensions.ai/details/publication/pub.1110065071"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000269_0000000269/records_56813_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00500-018-3623-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00500-018-3623-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00500-018-3623-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00500-018-3623-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00500-018-3623-x'


 

This table displays all metadata directly associated to this object as RDF triples.

150 TRIPLES      21 PREDICATES      50 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00500-018-3623-x schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N4d1beb98f742459eb2c176a890cb0362
4 schema:citation sg:pub.10.1007/978-3-642-69959-7
5 sg:pub.10.1007/978-94-015-8901-7
6 sg:pub.10.1007/s005000050007
7 https://app.dimensions.ai/details/publication/pub.1008169901
8 https://app.dimensions.ai/details/publication/pub.1017490034
9 https://doi.org/10.1016/b978-044450263-6/50036-1
10 https://doi.org/10.1016/j.asr.2003.05.039
11 https://doi.org/10.1016/j.fss.2013.06.010
12 https://doi.org/10.1016/j.knosys.2012.07.003
13 https://doi.org/10.1016/j.physa.2006.04.023
14 https://doi.org/10.1016/j.physa.2012.09.002
15 https://doi.org/10.1016/s0165-0114(98)00213-9
16 https://doi.org/10.1016/s0165-0114(98)00214-0
17 https://doi.org/10.1016/s0362-546x(97)00568-3
18 https://doi.org/10.1016/s0378-4371(01)00298-9
19 https://doi.org/10.1017/cbo9780511755767
20 https://doi.org/10.1063/1.1722436
21 https://doi.org/10.1063/1.336003
22 https://doi.org/10.1070/rm1996v051n06abeh003011
23 https://doi.org/10.1088/0004-637x/764/1/35
24 https://doi.org/10.1090/conm/377/06995
25 https://doi.org/10.1103/physrevlett.42.819
26 https://doi.org/10.1103/physrevlett.59.1037
27 https://doi.org/10.1256/qj.04.134
28 https://doi.org/10.3389/fnhum.2015.00368
29 schema:datePublished 2019-01
30 schema:datePublishedReg 2019-01-01
31 schema:description In generalized measure theory, σ-⊕-measure is a generalization of the classical measure defined on a pseudo-addition. In this paper, the class of pseudo-exponential distributions based on a class of σ-⊕-measure is introduced. Some examples of this class are investigated. Then by two real data sets obtained from the last three decades of oil, and the last two decades of the daily natural gas spot prices, we show that the pseudo-exponential distribution is better fitted than exponential distribution using the AIC and BIC information criteria.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf sg:journal.1050238
36 schema:name Pseudo-exponential distribution and its statistical applications in econophysics
37 schema:pagination 1-7
38 schema:productId N40a360d5f45941d6898316ec8334b5c7
39 N90f9eafbf1124742960a6abd3ed320dc
40 Nae947a05855a47eeb7ab5eb73341bf02
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110065071
42 https://doi.org/10.1007/s00500-018-3623-x
43 schema:sdDatePublished 2019-04-11T08:11
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Nb0e3255091fc4d869e2ada425465e7f1
46 schema:url https://link.springer.com/10.1007%2Fs00500-018-3623-x
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N40a360d5f45941d6898316ec8334b5c7 schema:name dimensions_id
51 schema:value pub.1110065071
52 rdf:type schema:PropertyValue
53 N4d1beb98f742459eb2c176a890cb0362 rdf:first sg:person.011622700245.37
54 rdf:rest Ncd04ba4ef9d54167936ce7bbfd4588bc
55 N60c0cabc52fa4ffe8d6052f8a6d64012 rdf:first sg:person.013374353164.75
56 rdf:rest rdf:nil
57 N90f9eafbf1124742960a6abd3ed320dc schema:name readcube_id
58 schema:value 33aa37d900889e12d00378a38e67adce345bd60112d9800adfb47c26714c6773
59 rdf:type schema:PropertyValue
60 Nae947a05855a47eeb7ab5eb73341bf02 schema:name doi
61 schema:value 10.1007/s00500-018-3623-x
62 rdf:type schema:PropertyValue
63 Nb0e3255091fc4d869e2ada425465e7f1 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 Ncd04ba4ef9d54167936ce7bbfd4588bc rdf:first sg:person.011040152213.82
66 rdf:rest N60c0cabc52fa4ffe8d6052f8a6d64012
67 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
68 schema:name Chemical Sciences
69 rdf:type schema:DefinedTerm
70 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
71 schema:name Physical Chemistry (incl. Structural)
72 rdf:type schema:DefinedTerm
73 sg:journal.1050238 schema:issn 1432-7643
74 1433-7479
75 schema:name Soft Computing
76 rdf:type schema:Periodical
77 sg:person.011040152213.82 schema:affiliation https://www.grid.ac/institutes/grid.411496.f
78 schema:familyName Agahi
79 schema:givenName Hamzeh
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011040152213.82
81 rdf:type schema:Person
82 sg:person.011622700245.37 schema:affiliation https://www.grid.ac/institutes/grid.411496.f
83 schema:familyName Mehri-Dehnavi
84 schema:givenName Hossein
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011622700245.37
86 rdf:type schema:Person
87 sg:person.013374353164.75 schema:affiliation https://www.grid.ac/institutes/grid.424990.2
88 schema:familyName Mesiar
89 schema:givenName Radko
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013374353164.75
91 rdf:type schema:Person
92 sg:pub.10.1007/978-3-642-69959-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017490034
93 https://doi.org/10.1007/978-3-642-69959-7
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/978-94-015-8901-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008169901
96 https://doi.org/10.1007/978-94-015-8901-7
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/s005000050007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002249114
99 https://doi.org/10.1007/s005000050007
100 rdf:type schema:CreativeWork
101 https://app.dimensions.ai/details/publication/pub.1008169901 schema:CreativeWork
102 https://app.dimensions.ai/details/publication/pub.1017490034 schema:CreativeWork
103 https://doi.org/10.1016/b978-044450263-6/50036-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002005254
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.asr.2003.05.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041877710
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/j.fss.2013.06.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033622580
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.knosys.2012.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026996263
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.physa.2006.04.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004230987
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.physa.2012.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011849184
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/s0165-0114(98)00213-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019393257
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/s0165-0114(98)00214-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052865753
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/s0362-546x(97)00568-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011356792
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/s0378-4371(01)00298-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051597158
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1017/cbo9780511755767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098674191
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1063/1.1722436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057789423
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1063/1.336003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057941418
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1070/rm1996v051n06abeh003011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058196877
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1088/0004-637x/764/1/35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034104445
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1090/conm/377/06995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089201460
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1103/physrevlett.42.819 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060783958
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1103/physrevlett.59.1037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060795473
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1256/qj.04.134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045738986
140 rdf:type schema:CreativeWork
141 https://doi.org/10.3389/fnhum.2015.00368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028045501
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.411496.f schema:alternateName Babol Noshirvani University of Technology
144 schema:name Department of Mathematics, Faculty of Basic Science, Babol Noshirvani University of Technology, Shariati Ave., 47148-71167, Babol, Iran
145 Department of Physics, Faculty of Basic Science, Babol Noshirvani University of Technology, Shariati Ave., 47148-71167, Babol, Iran
146 rdf:type schema:Organization
147 https://www.grid.ac/institutes/grid.424990.2 schema:alternateName Institute of Information Theory and Automation
148 schema:name Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology, 810 05, Bratislava, Slovakia
149 Institute of Information Theory and Automation of the Czech Academy of Sciences, Pod vodárenskou věži 4, 182 08, Praha 8, Czech Republic
150 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...