Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss
There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generaliz...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Qiu, H.-B. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Schlagwörter: |
Estimate Regression Coefficient |
|---|
| Anmerkung: |
© Springer Science+Business Media New York 2015 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Ukrainian mathematical journal - Springer US, 1967, 67(2015), 1 vom: Juni, Seite 146-153 |
|---|---|
| Übergeordnetes Werk: |
volume:67 ; year:2015 ; number:1 ; month:06 ; pages:146-153 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11253-015-1069-1 |
|---|
| Katalog-ID: |
OLC2054570788 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2054570788 | ||
| 003 | DE-627 | ||
| 005 | 20230504065656.0 | ||
| 007 | tu | ||
| 008 | 200819s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11253-015-1069-1 |2 doi | |
| 035 | |a (DE-627)OLC2054570788 | ||
| 035 | |a (DE-He213)s11253-015-1069-1-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 510 |q VZ |
| 084 | |a 17,1 |2 ssgn | ||
| 100 | 1 | |a Qiu, H.-B. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media New York 2015 | ||
| 520 | |a There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. | ||
| 650 | 4 | |a Loss Function | |
| 650 | 4 | |a Linear Estimator | |
| 650 | 4 | |a Estimate Regression Coefficient | |
| 650 | 4 | |a Generalize Linear Regression Model | |
| 650 | 4 | |a Quadratic Loss Function | |
| 700 | 1 | |a Luo, J. |4 aut | |
| 700 | 1 | |a Zhang, J. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Ukrainian mathematical journal |d Springer US, 1967 |g 67(2015), 1 vom: Juni, Seite 146-153 |w (DE-627)12993318X |w (DE-600)390019-8 |w (DE-576)015490556 |x 0041-5995 |7 nnns |
| 773 | 1 | 8 | |g volume:67 |g year:2015 |g number:1 |g month:06 |g pages:146-153 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11253-015-1069-1 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OPC-MAT | ||
| 912 | |a GBV_ILN_70 | ||
| 951 | |a AR | ||
| 952 | |d 67 |j 2015 |e 1 |c 06 |h 146-153 | ||
| author_variant |
h b q hbq j l jl j z jz |
|---|---|
| matchkey_str |
article:00415995:2015----::disbltoetmtdersinofiinsnegn |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
10.1007/s11253-015-1069-1 doi (DE-627)OLC2054570788 (DE-He213)s11253-015-1069-1-p DE-627 ger DE-627 rakwb eng 510 VZ 17,1 ssgn Qiu, H.-B. verfasserin aut Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function Luo, J. aut Zhang, J. aut Enthalten in Ukrainian mathematical journal Springer US, 1967 67(2015), 1 vom: Juni, Seite 146-153 (DE-627)12993318X (DE-600)390019-8 (DE-576)015490556 0041-5995 nnns volume:67 year:2015 number:1 month:06 pages:146-153 https://doi.org/10.1007/s11253-015-1069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 67 2015 1 06 146-153 |
| spelling |
10.1007/s11253-015-1069-1 doi (DE-627)OLC2054570788 (DE-He213)s11253-015-1069-1-p DE-627 ger DE-627 rakwb eng 510 VZ 17,1 ssgn Qiu, H.-B. verfasserin aut Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function Luo, J. aut Zhang, J. aut Enthalten in Ukrainian mathematical journal Springer US, 1967 67(2015), 1 vom: Juni, Seite 146-153 (DE-627)12993318X (DE-600)390019-8 (DE-576)015490556 0041-5995 nnns volume:67 year:2015 number:1 month:06 pages:146-153 https://doi.org/10.1007/s11253-015-1069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 67 2015 1 06 146-153 |
| allfields_unstemmed |
10.1007/s11253-015-1069-1 doi (DE-627)OLC2054570788 (DE-He213)s11253-015-1069-1-p DE-627 ger DE-627 rakwb eng 510 VZ 17,1 ssgn Qiu, H.-B. verfasserin aut Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function Luo, J. aut Zhang, J. aut Enthalten in Ukrainian mathematical journal Springer US, 1967 67(2015), 1 vom: Juni, Seite 146-153 (DE-627)12993318X (DE-600)390019-8 (DE-576)015490556 0041-5995 nnns volume:67 year:2015 number:1 month:06 pages:146-153 https://doi.org/10.1007/s11253-015-1069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 67 2015 1 06 146-153 |
| allfieldsGer |
10.1007/s11253-015-1069-1 doi (DE-627)OLC2054570788 (DE-He213)s11253-015-1069-1-p DE-627 ger DE-627 rakwb eng 510 VZ 17,1 ssgn Qiu, H.-B. verfasserin aut Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function Luo, J. aut Zhang, J. aut Enthalten in Ukrainian mathematical journal Springer US, 1967 67(2015), 1 vom: Juni, Seite 146-153 (DE-627)12993318X (DE-600)390019-8 (DE-576)015490556 0041-5995 nnns volume:67 year:2015 number:1 month:06 pages:146-153 https://doi.org/10.1007/s11253-015-1069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 67 2015 1 06 146-153 |
| allfieldsSound |
10.1007/s11253-015-1069-1 doi (DE-627)OLC2054570788 (DE-He213)s11253-015-1069-1-p DE-627 ger DE-627 rakwb eng 510 VZ 17,1 ssgn Qiu, H.-B. verfasserin aut Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function Luo, J. aut Zhang, J. aut Enthalten in Ukrainian mathematical journal Springer US, 1967 67(2015), 1 vom: Juni, Seite 146-153 (DE-627)12993318X (DE-600)390019-8 (DE-576)015490556 0041-5995 nnns volume:67 year:2015 number:1 month:06 pages:146-153 https://doi.org/10.1007/s11253-015-1069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 67 2015 1 06 146-153 |
| language |
English |
| source |
Enthalten in Ukrainian mathematical journal 67(2015), 1 vom: Juni, Seite 146-153 volume:67 year:2015 number:1 month:06 pages:146-153 |
| sourceStr |
Enthalten in Ukrainian mathematical journal 67(2015), 1 vom: Juni, Seite 146-153 volume:67 year:2015 number:1 month:06 pages:146-153 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function |
| dewey-raw |
510 |
| isfreeaccess_bool |
false |
| container_title |
Ukrainian mathematical journal |
| authorswithroles_txt_mv |
Qiu, H.-B. @@aut@@ Luo, J. @@aut@@ Zhang, J. @@aut@@ |
| publishDateDaySort_date |
2015-06-01T00:00:00Z |
| hierarchy_top_id |
12993318X |
| dewey-sort |
3510 |
| id |
OLC2054570788 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2054570788</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504065656.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11253-015-1069-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2054570788</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11253-015-1069-1-p</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="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">17,1</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Qiu, H.-B.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Loss Function</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Linear Estimator</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Estimate Regression Coefficient</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Generalize Linear Regression Model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quadratic Loss Function</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luo, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Ukrainian mathematical journal</subfield><subfield code="d">Springer US, 1967</subfield><subfield code="g">67(2015), 1 vom: Juni, Seite 146-153</subfield><subfield code="w">(DE-627)12993318X</subfield><subfield code="w">(DE-600)390019-8</subfield><subfield code="w">(DE-576)015490556</subfield><subfield code="x">0041-5995</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:67</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:1</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:146-153</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11253-015-1069-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">67</subfield><subfield code="j">2015</subfield><subfield code="e">1</subfield><subfield code="c">06</subfield><subfield code="h">146-153</subfield></datafield></record></collection>
|
| author |
Qiu, H.-B. |
| spellingShingle |
Qiu, H.-B. ddc 510 ssgn 17,1 misc Loss Function misc Linear Estimator misc Estimate Regression Coefficient misc Generalize Linear Regression Model misc Quadratic Loss Function Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss |
| authorStr |
Qiu, H.-B. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)12993318X |
| format |
Article |
| dewey-ones |
510 - Mathematics |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0041-5995 |
| topic_title |
510 VZ 17,1 ssgn Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss Loss Function Linear Estimator Estimate Regression Coefficient Generalize Linear Regression Model Quadratic Loss Function |
| topic |
ddc 510 ssgn 17,1 misc Loss Function misc Linear Estimator misc Estimate Regression Coefficient misc Generalize Linear Regression Model misc Quadratic Loss Function |
| topic_unstemmed |
ddc 510 ssgn 17,1 misc Loss Function misc Linear Estimator misc Estimate Regression Coefficient misc Generalize Linear Regression Model misc Quadratic Loss Function |
| topic_browse |
ddc 510 ssgn 17,1 misc Loss Function misc Linear Estimator misc Estimate Regression Coefficient misc Generalize Linear Regression Model misc Quadratic Loss Function |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Ukrainian mathematical journal |
| hierarchy_parent_id |
12993318X |
| dewey-tens |
510 - Mathematics |
| hierarchy_top_title |
Ukrainian mathematical journal |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)12993318X (DE-600)390019-8 (DE-576)015490556 |
| title |
Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss |
| ctrlnum |
(DE-627)OLC2054570788 (DE-He213)s11253-015-1069-1-p |
| title_full |
Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss |
| author_sort |
Qiu, H.-B. |
| journal |
Ukrainian mathematical journal |
| journalStr |
Ukrainian mathematical journal |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
146 |
| author_browse |
Qiu, H.-B. Luo, J. Zhang, J. |
| container_volume |
67 |
| class |
510 VZ 17,1 ssgn |
| format_se |
Aufsätze |
| author-letter |
Qiu, H.-B. |
| doi_str_mv |
10.1007/s11253-015-1069-1 |
| dewey-full |
510 |
| title_sort |
admissibility of estimated regression coefficients under generalized balanced loss |
| title_auth |
Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss |
| abstract |
There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. © Springer Science+Business Media New York 2015 |
| abstractGer |
There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. © Springer Science+Business Media New York 2015 |
| abstract_unstemmed |
There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes. © Springer Science+Business Media New York 2015 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 |
| container_issue |
1 |
| title_short |
Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss |
| url |
https://doi.org/10.1007/s11253-015-1069-1 |
| remote_bool |
false |
| author2 |
Luo, J. Zhang, J. |
| author2Str |
Luo, J. Zhang, J. |
| ppnlink |
12993318X |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11253-015-1069-1 |
| up_date |
2024-07-03T23:34:28.048Z |
| _version_ |
1803602800725196800 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2054570788</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504065656.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11253-015-1069-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2054570788</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11253-015-1069-1-p</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="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">17,1</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Qiu, H.-B.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">There are some discussions concerning the admissibility of estimated regression coefficients under the balanced loss function in the general linear model. We study this issue for the generalized linear regression model. First, we propose a generalized weighted balance loss function for the generalized linear model. For the proposed loss function, we study sufficient and necessary conditions for the admissibility of the estimated regression coefficients in two interesting linear estimation classes.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Loss Function</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Linear Estimator</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Estimate Regression Coefficient</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Generalize Linear Regression Model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quadratic Loss Function</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luo, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Ukrainian mathematical journal</subfield><subfield code="d">Springer US, 1967</subfield><subfield code="g">67(2015), 1 vom: Juni, Seite 146-153</subfield><subfield code="w">(DE-627)12993318X</subfield><subfield code="w">(DE-600)390019-8</subfield><subfield code="w">(DE-576)015490556</subfield><subfield code="x">0041-5995</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:67</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:1</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:146-153</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11253-015-1069-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">67</subfield><subfield code="j">2015</subfield><subfield code="e">1</subfield><subfield code="c">06</subfield><subfield code="h">146-153</subfield></datafield></record></collection>
|
| score |
7.399212 |