Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting
• Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled r...
Ausführliche Beschreibung
Autor*in: |
Pérez-Rave, Jorge [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling - Zhang, Chuang ELSEVIER, 2018, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:112 ; year:2017 ; pages:71-83 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.cie.2017.08.015 |
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ELV030495806 |
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520 | |a • Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. | ||
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10.1016/j.cie.2017.08.015 doi GBV00000000000651.pica (DE-627)ELV030495806 (ELSEVIER)S0360-8352(17)30373-X DE-627 ger DE-627 rakwb eng 630 640 VZ 58.34 bkl Pérez-Rave, Jorge verfasserin aut Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. Control charts Elsevier Financial variables Elsevier Residual control charts Elsevier Regression analysis Elsevier Autocorrelation Elsevier Logistics Elsevier Muñoz-Giraldo, Leandro oth Correa-Morales, Juan Carlos oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:112 year:2017 pages:71-83 extent:13 https://doi.org/10.1016/j.cie.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 112 2017 71-83 13 |
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10.1016/j.cie.2017.08.015 doi GBV00000000000651.pica (DE-627)ELV030495806 (ELSEVIER)S0360-8352(17)30373-X DE-627 ger DE-627 rakwb eng 630 640 VZ 58.34 bkl Pérez-Rave, Jorge verfasserin aut Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. Control charts Elsevier Financial variables Elsevier Residual control charts Elsevier Regression analysis Elsevier Autocorrelation Elsevier Logistics Elsevier Muñoz-Giraldo, Leandro oth Correa-Morales, Juan Carlos oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:112 year:2017 pages:71-83 extent:13 https://doi.org/10.1016/j.cie.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 112 2017 71-83 13 |
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10.1016/j.cie.2017.08.015 doi GBV00000000000651.pica (DE-627)ELV030495806 (ELSEVIER)S0360-8352(17)30373-X DE-627 ger DE-627 rakwb eng 630 640 VZ 58.34 bkl Pérez-Rave, Jorge verfasserin aut Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. Control charts Elsevier Financial variables Elsevier Residual control charts Elsevier Regression analysis Elsevier Autocorrelation Elsevier Logistics Elsevier Muñoz-Giraldo, Leandro oth Correa-Morales, Juan Carlos oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:112 year:2017 pages:71-83 extent:13 https://doi.org/10.1016/j.cie.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 112 2017 71-83 13 |
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10.1016/j.cie.2017.08.015 doi GBV00000000000651.pica (DE-627)ELV030495806 (ELSEVIER)S0360-8352(17)30373-X DE-627 ger DE-627 rakwb eng 630 640 VZ 58.34 bkl Pérez-Rave, Jorge verfasserin aut Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. Control charts Elsevier Financial variables Elsevier Residual control charts Elsevier Regression analysis Elsevier Autocorrelation Elsevier Logistics Elsevier Muñoz-Giraldo, Leandro oth Correa-Morales, Juan Carlos oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:112 year:2017 pages:71-83 extent:13 https://doi.org/10.1016/j.cie.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 112 2017 71-83 13 |
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10.1016/j.cie.2017.08.015 doi GBV00000000000651.pica (DE-627)ELV030495806 (ELSEVIER)S0360-8352(17)30373-X DE-627 ger DE-627 rakwb eng 630 640 VZ 58.34 bkl Pérez-Rave, Jorge verfasserin aut Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. Control charts Elsevier Financial variables Elsevier Residual control charts Elsevier Regression analysis Elsevier Autocorrelation Elsevier Logistics Elsevier Muñoz-Giraldo, Leandro oth Correa-Morales, Juan Carlos oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:112 year:2017 pages:71-83 extent:13 https://doi.org/10.1016/j.cie.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 112 2017 71-83 13 |
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Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting |
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• Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. |
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• Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. |
abstract_unstemmed |
• Logistics budget variables (autocorrelated data) have not been addressed using control charts. • The loading unit is a good predictor of logistics budget variables. • Control charts for scaled residuals are useful to monitor budget variables. • Three types of control charts for regression scaled residuals are tested. • Control charts with regression are an effective strategy in this context. |
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Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting |
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code="a">Control charts</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Financial variables</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Residual control charts</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Regression analysis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Autocorrelation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Logistics</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Muñoz-Giraldo, Leandro</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Correa-Morales, Juan Carlos</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Zhang, Chuang ELSEVIER</subfield><subfield code="t">Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV00175033X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:112</subfield><subfield code="g">year:2017</subfield><subfield code="g">pages:71-83</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.cie.2017.08.015</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">58.34</subfield><subfield code="j">Lebensmitteltechnologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">112</subfield><subfield code="j">2017</subfield><subfield code="h">71-83</subfield><subfield code="g">13</subfield></datafield></record></collection>
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