MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL
An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Watson, Collin J. [verfasserIn] Stock, Duane [verfasserIn] Watson, Kent D. [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 1983 |
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| Schlagwörter: |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
2007 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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| Übergeordnetes Werk: |
In: Decision sciences - Oxford : Wiley-Blackwell, 1988, 14(1983), 4, Seite 0 |
| Übergeordnetes Werk: |
volume:14 ; year:1983 ; number:4 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1111/j.1540-5915.1983.tb00203.x |
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| 520 | |a An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. | ||
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10.1111/j.1540-5915.1983.tb00203.x doi (DE-627)NLEJ239949420 DE-627 ger DE-627 rakwb Watson, Collin J. verfasserin aut MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL Oxford, UK Blackwell Publishing Ltd 1983 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Financial Planning Stock, Duane verfasserin aut Watson, Kent D. verfasserin aut In Decision sciences Oxford : Wiley-Blackwell, 1988 14(1983), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:14 year:1983 number:4 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1983.tb00203.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 14 1983 4 0 |
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10.1111/j.1540-5915.1983.tb00203.x doi (DE-627)NLEJ239949420 DE-627 ger DE-627 rakwb Watson, Collin J. verfasserin aut MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL Oxford, UK Blackwell Publishing Ltd 1983 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Financial Planning Stock, Duane verfasserin aut Watson, Kent D. verfasserin aut In Decision sciences Oxford : Wiley-Blackwell, 1988 14(1983), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:14 year:1983 number:4 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1983.tb00203.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 14 1983 4 0 |
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10.1111/j.1540-5915.1983.tb00203.x doi (DE-627)NLEJ239949420 DE-627 ger DE-627 rakwb Watson, Collin J. verfasserin aut MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL Oxford, UK Blackwell Publishing Ltd 1983 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Financial Planning Stock, Duane verfasserin aut Watson, Kent D. verfasserin aut In Decision sciences Oxford : Wiley-Blackwell, 1988 14(1983), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:14 year:1983 number:4 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1983.tb00203.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 14 1983 4 0 |
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10.1111/j.1540-5915.1983.tb00203.x doi (DE-627)NLEJ239949420 DE-627 ger DE-627 rakwb Watson, Collin J. verfasserin aut MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL Oxford, UK Blackwell Publishing Ltd 1983 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Financial Planning Stock, Duane verfasserin aut Watson, Kent D. verfasserin aut In Decision sciences Oxford : Wiley-Blackwell, 1988 14(1983), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:14 year:1983 number:4 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1983.tb00203.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 14 1983 4 0 |
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10.1111/j.1540-5915.1983.tb00203.x doi (DE-627)NLEJ239949420 DE-627 ger DE-627 rakwb Watson, Collin J. verfasserin aut MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL Oxford, UK Blackwell Publishing Ltd 1983 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| Financial Planning Stock, Duane verfasserin aut Watson, Kent D. verfasserin aut In Decision sciences Oxford : Wiley-Blackwell, 1988 14(1983), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926456 (DE-600)2066218-X 1540-5915 nnns volume:14 year:1983 number:4 pages:0 http://dx.doi.org/10.1111/j.1540-5915.1983.tb00203.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 14 1983 4 0 |
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MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL |
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An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. |
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An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. |
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An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ239949420</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707100624.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120426s1983 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/j.1540-5915.1983.tb00203.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ239949420</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Watson, Collin J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">MULTIVARIATE NORMALITY AND A BOND RATING DECISION MODEL</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, UK</subfield><subfield code="b">Blackwell Publishing Ltd</subfield><subfield code="c">1983</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">An assumption of multivariate normality for a decision model is validated in this paper. Measurements for the independent variables of a bond rating model were taken from a sample of municipal bonds. Three methods for examining both univariate and multivariate normality (including normal probability plots) are described and applied to the bond data. The results imply, after applying normalizing transformations to four of the variables, that the data reasonably approximate multivariate normality, thereby validating a distributional requirement of the discriminant-analysis-based decision model. The methods described in the paper may also be used by others interested in examining multivariate normality assumptions of decision models.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2007</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2007||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Financial Planning</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stock, Duane</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Watson, Kent D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Decision sciences</subfield><subfield code="d">Oxford : Wiley-Blackwell, 1988</subfield><subfield code="g">14(1983), 4, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243926456</subfield><subfield code="w">(DE-600)2066218-X</subfield><subfield code="x">1540-5915</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:1983</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1111/j.1540-5915.1983.tb00203.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</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">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">1983</subfield><subfield code="e">4</subfield><subfield code="h">0</subfield></datafield></record></collection>
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