Functional data analysis: local linear estimation of the L1-conditional quantiles View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12-12

AUTHORS

Fahimah A. Al-Awadhi, Zoulikha Kaid, Ali Laksaci, Idir Ouassou, Mustapha Rachdi

ABSTRACT

We consider a new estimator of the quantile function of a scalar response variable given a functional random variable. This new estimator is based on the L1 approach. Under standard assumptions, we prove the almost-complete consistency as well as the asymptotic normality of this estimator. This new approach is also illustrated through some simulated data and its superiority, compared to the classical method, has been proved for practical purposes. More... »

PAGES

1-24

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10260-018-00447-5

DOI

http://dx.doi.org/10.1007/s10260-018-00447-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110555883


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kuwait University", 
          "id": "https://www.grid.ac/institutes/grid.411196.a", 
          "name": [
            "Faculty of Science Department of Statistics and Operations Research, Kuwait University, P.O. Box 5969, 13060, Safat, Kuwait"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Al-Awadhi", 
        "givenName": "Fahimah A.", 
        "id": "sg:person.012074057603.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012074057603.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King Khalid University", 
          "id": "https://www.grid.ac/institutes/grid.412144.6", 
          "name": [
            "Department of Mathematics, College of Science, King Khalid University, 61413, Abha, Saudi Arabia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaid", 
        "givenName": "Zoulikha", 
        "id": "sg:person.016407543317.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016407543317.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King Khalid University", 
          "id": "https://www.grid.ac/institutes/grid.412144.6", 
          "name": [
            "Department of Mathematics, College of Science, King Khalid University, 61413, Abha, Saudi Arabia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laksaci", 
        "givenName": "Ali", 
        "id": "sg:person.015423111121.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015423111121.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cadi Ayyad University", 
          "id": "https://www.grid.ac/institutes/grid.411840.8", 
          "name": [
            "Ecole Nationale des Sciences Appliqu\u00e9es, Universit\u00e9 Cadi Ayyad, Gu\u00e9liz, BP. 575, 40000, Marrakech, Morocco", 
            "University Mohammed VI Polytechnique, 43140, Ben Guerir, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ouassou", 
        "givenName": "Idir", 
        "id": "sg:person.011264024213.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011264024213.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Grenoble Alpes University", 
          "id": "https://www.grid.ac/institutes/grid.450307.5", 
          "name": [
            "TIMB Team, Laboratoire AGEIS EA 7407, UFR SHS, University Grenoble Alpes, BP. 47, 38040, Grenoble Cedex 09, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rachdi", 
        "givenName": "Mustapha", 
        "id": "sg:person.0710166744.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710166744.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0167-7152(89)90095-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001087356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-7152(89)90095-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001087356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02331888.2011.568117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003134346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0266466600007167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004783211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0266466600007167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004783211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10260-015-0296-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012736358", 
          "https://doi.org/10.1007/s10260-015-0296-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00180-007-0045-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014255671", 
          "https://doi.org/10.1007/s00180-007-0045-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00180-007-0045-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014255671", 
          "https://doi.org/10.1007/s00180-007-0045-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmva.2008.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019914015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10485252.2014.941365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022199429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmva.2013.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028664783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.spl.2016.09.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030797492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13171-013-0050-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033010956", 
          "https://doi.org/10.1007/s13171-013-0050-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00184-013-0439-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037633244", 
          "https://doi.org/10.1007/s00184-013-0439-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1037887112", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4614-3655-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037887112", 
          "https://doi.org/10.1007/978-1-4614-3655-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4614-3655-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037887112", 
          "https://doi.org/10.1007/978-1-4614-3655-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10463-010-0275-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043820228", 
          "https://doi.org/10.1007/s10463-010-0275-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10485250903089930", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044814518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-69395-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044828272", 
          "https://doi.org/10.1007/978-0-387-69395-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1044828272", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10182-014-0233-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044904730", 
          "https://doi.org/10.1007/s10182-014-0233-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.spl.2008.12.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045540036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jspi.2006.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046333092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.csda.2013.11.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052538930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.1996.10476954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058305088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03610926.2013.857418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058330629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/11-ejs600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064392548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/12-aos1066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064393187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aos/1176343886", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064407310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aos/1176349943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064408989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3150/08-bej168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071056517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7494/opmath.2016.36.1.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073758711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeconom.2017.06.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091025118"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12-12", 
    "datePublishedReg": "2018-12-12", 
    "description": "We consider a new estimator of the quantile function of a scalar response variable given a functional random variable. This new estimator is based on the L1 approach. Under standard assumptions, we prove the almost-complete consistency as well as the asymptotic normality of this estimator. This new approach is also illustrated through some simulated data and its superiority, compared to the classical method, has been proved for practical purposes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10260-018-00447-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1043636", 
        "issn": [
          "1618-2510", 
          "1613-981X"
        ], 
        "name": "Statistical Methods & Applications", 
        "type": "Periodical"
      }
    ], 
    "name": "Functional data analysis: local linear estimation of the L1-conditional quantiles", 
    "pagination": "1-24", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cbd0a80c52fa9a6e706c1b71a1fa1868325392ac2646a05be053ea95ed8c6d60"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10260-018-00447-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110555883"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10260-018-00447-5", 
      "https://app.dimensions.ai/details/publication/pub.1110555883"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:23", 
    "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/v90/0000000293_0000000293/records_12038_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10260-018-00447-5"
  }
]
 

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/s10260-018-00447-5'

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/s10260-018-00447-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10260-018-00447-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10260-018-00447-5'


 

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

189 TRIPLES      21 PREDICATES      54 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10260-018-00447-5 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nb1862fbf1ead4cd1b38fee25fad0f7df
4 schema:citation sg:pub.10.1007/978-0-387-69395-8
5 sg:pub.10.1007/978-1-4614-3655-3
6 sg:pub.10.1007/s00180-007-0045-0
7 sg:pub.10.1007/s00184-013-0439-7
8 sg:pub.10.1007/s10182-014-0233-5
9 sg:pub.10.1007/s10260-015-0296-9
10 sg:pub.10.1007/s10463-010-0275-8
11 sg:pub.10.1007/s13171-013-0050-z
12 https://app.dimensions.ai/details/publication/pub.1037887112
13 https://app.dimensions.ai/details/publication/pub.1044828272
14 https://doi.org/10.1016/0167-7152(89)90095-3
15 https://doi.org/10.1016/j.csda.2013.11.011
16 https://doi.org/10.1016/j.jeconom.2017.06.020
17 https://doi.org/10.1016/j.jmva.2008.03.008
18 https://doi.org/10.1016/j.jmva.2013.06.004
19 https://doi.org/10.1016/j.jspi.2006.10.001
20 https://doi.org/10.1016/j.spl.2008.12.016
21 https://doi.org/10.1016/j.spl.2016.09.021
22 https://doi.org/10.1017/s0266466600007167
23 https://doi.org/10.1080/01621459.1996.10476954
24 https://doi.org/10.1080/02331888.2011.568117
25 https://doi.org/10.1080/03610926.2013.857418
26 https://doi.org/10.1080/10485250903089930
27 https://doi.org/10.1080/10485252.2014.941365
28 https://doi.org/10.1214/11-ejs600
29 https://doi.org/10.1214/12-aos1066
30 https://doi.org/10.1214/aos/1176343886
31 https://doi.org/10.1214/aos/1176349943
32 https://doi.org/10.3150/08-bej168
33 https://doi.org/10.7494/opmath.2016.36.1.25
34 schema:datePublished 2018-12-12
35 schema:datePublishedReg 2018-12-12
36 schema:description We consider a new estimator of the quantile function of a scalar response variable given a functional random variable. This new estimator is based on the L1 approach. Under standard assumptions, we prove the almost-complete consistency as well as the asymptotic normality of this estimator. This new approach is also illustrated through some simulated data and its superiority, compared to the classical method, has been proved for practical purposes.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf sg:journal.1043636
41 schema:name Functional data analysis: local linear estimation of the L1-conditional quantiles
42 schema:pagination 1-24
43 schema:productId N32c192f340e042a0af83d96482e3ba22
44 Ne9f5a5f534c04519bd6201712dfaf5c5
45 Ned8fd4ec50cb470eba95e13b9501ae96
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110555883
47 https://doi.org/10.1007/s10260-018-00447-5
48 schema:sdDatePublished 2019-04-11T08:23
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher Nba01a3146bea478b98c347270c4eeb6a
51 schema:url https://link.springer.com/10.1007%2Fs10260-018-00447-5
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N32c192f340e042a0af83d96482e3ba22 schema:name doi
56 schema:value 10.1007/s10260-018-00447-5
57 rdf:type schema:PropertyValue
58 N38ffaee33c0847dd807ad593d6adb4de rdf:first sg:person.011264024213.21
59 rdf:rest Ne430c6241ede41088d5952a7c71ae905
60 Nb1862fbf1ead4cd1b38fee25fad0f7df rdf:first sg:person.012074057603.52
61 rdf:rest Nf24a420df22f4373abae78af700122f0
62 Nba01a3146bea478b98c347270c4eeb6a schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 Ne2739bc448584c6ba3ef1d4879ec550c rdf:first sg:person.015423111121.19
65 rdf:rest N38ffaee33c0847dd807ad593d6adb4de
66 Ne430c6241ede41088d5952a7c71ae905 rdf:first sg:person.0710166744.33
67 rdf:rest rdf:nil
68 Ne9f5a5f534c04519bd6201712dfaf5c5 schema:name dimensions_id
69 schema:value pub.1110555883
70 rdf:type schema:PropertyValue
71 Ned8fd4ec50cb470eba95e13b9501ae96 schema:name readcube_id
72 schema:value cbd0a80c52fa9a6e706c1b71a1fa1868325392ac2646a05be053ea95ed8c6d60
73 rdf:type schema:PropertyValue
74 Nf24a420df22f4373abae78af700122f0 rdf:first sg:person.016407543317.36
75 rdf:rest Ne2739bc448584c6ba3ef1d4879ec550c
76 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
77 schema:name Information and Computing Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
80 schema:name Artificial Intelligence and Image Processing
81 rdf:type schema:DefinedTerm
82 sg:journal.1043636 schema:issn 1613-981X
83 1618-2510
84 schema:name Statistical Methods & Applications
85 rdf:type schema:Periodical
86 sg:person.011264024213.21 schema:affiliation https://www.grid.ac/institutes/grid.411840.8
87 schema:familyName Ouassou
88 schema:givenName Idir
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011264024213.21
90 rdf:type schema:Person
91 sg:person.012074057603.52 schema:affiliation https://www.grid.ac/institutes/grid.411196.a
92 schema:familyName Al-Awadhi
93 schema:givenName Fahimah A.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012074057603.52
95 rdf:type schema:Person
96 sg:person.015423111121.19 schema:affiliation https://www.grid.ac/institutes/grid.412144.6
97 schema:familyName Laksaci
98 schema:givenName Ali
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015423111121.19
100 rdf:type schema:Person
101 sg:person.016407543317.36 schema:affiliation https://www.grid.ac/institutes/grid.412144.6
102 schema:familyName Kaid
103 schema:givenName Zoulikha
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016407543317.36
105 rdf:type schema:Person
106 sg:person.0710166744.33 schema:affiliation https://www.grid.ac/institutes/grid.450307.5
107 schema:familyName Rachdi
108 schema:givenName Mustapha
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710166744.33
110 rdf:type schema:Person
111 sg:pub.10.1007/978-0-387-69395-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044828272
112 https://doi.org/10.1007/978-0-387-69395-8
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/978-1-4614-3655-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037887112
115 https://doi.org/10.1007/978-1-4614-3655-3
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s00180-007-0045-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014255671
118 https://doi.org/10.1007/s00180-007-0045-0
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s00184-013-0439-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037633244
121 https://doi.org/10.1007/s00184-013-0439-7
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s10182-014-0233-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044904730
124 https://doi.org/10.1007/s10182-014-0233-5
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/s10260-015-0296-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012736358
127 https://doi.org/10.1007/s10260-015-0296-9
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s10463-010-0275-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043820228
130 https://doi.org/10.1007/s10463-010-0275-8
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s13171-013-0050-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1033010956
133 https://doi.org/10.1007/s13171-013-0050-z
134 rdf:type schema:CreativeWork
135 https://app.dimensions.ai/details/publication/pub.1037887112 schema:CreativeWork
136 https://app.dimensions.ai/details/publication/pub.1044828272 schema:CreativeWork
137 https://doi.org/10.1016/0167-7152(89)90095-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001087356
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.csda.2013.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052538930
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.jeconom.2017.06.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091025118
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.jmva.2008.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019914015
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.jmva.2013.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028664783
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.jspi.2006.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046333092
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.spl.2008.12.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045540036
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.spl.2016.09.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030797492
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1017/s0266466600007167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004783211
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1080/01621459.1996.10476954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058305088
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1080/02331888.2011.568117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003134346
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1080/03610926.2013.857418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058330629
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1080/10485250903089930 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044814518
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1080/10485252.2014.941365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022199429
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1214/11-ejs600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064392548
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1214/12-aos1066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064393187
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1214/aos/1176343886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064407310
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1214/aos/1176349943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064408989
172 rdf:type schema:CreativeWork
173 https://doi.org/10.3150/08-bej168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071056517
174 rdf:type schema:CreativeWork
175 https://doi.org/10.7494/opmath.2016.36.1.25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073758711
176 rdf:type schema:CreativeWork
177 https://www.grid.ac/institutes/grid.411196.a schema:alternateName Kuwait University
178 schema:name Faculty of Science Department of Statistics and Operations Research, Kuwait University, P.O. Box 5969, 13060, Safat, Kuwait
179 rdf:type schema:Organization
180 https://www.grid.ac/institutes/grid.411840.8 schema:alternateName Cadi Ayyad University
181 schema:name Ecole Nationale des Sciences Appliquées, Université Cadi Ayyad, Guéliz, BP. 575, 40000, Marrakech, Morocco
182 University Mohammed VI Polytechnique, 43140, Ben Guerir, Morocco
183 rdf:type schema:Organization
184 https://www.grid.ac/institutes/grid.412144.6 schema:alternateName King Khalid University
185 schema:name Department of Mathematics, College of Science, King Khalid University, 61413, Abha, Saudi Arabia
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.450307.5 schema:alternateName Grenoble Alpes University
188 schema:name TIMB Team, Laboratoire AGEIS EA 7407, UFR SHS, University Grenoble Alpes, BP. 47, 38040, Grenoble Cedex 09, France
189 rdf:type schema:Organization
 




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


...