Goodness-of-Fit Statistics for Discrete Multivariate Data:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1988
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The development of appropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the log likelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges "between" Pearson's X and the loglikelihood ratio G that has some valuable properties |
| Beschreibung: | 1 Online-Ressource (XII, 212 p) |
| ISBN: | 9781461245780 9781461289319 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4612-4578-0 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042420318 | ||
| 003 | DE-604 | ||
| 005 | 20171011 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150317s1988 |||| o||u| ||||||eng d | ||
| 020 | |a 9781461245780 |c Online |9 978-1-4612-4578-0 | ||
| 020 | |a 9781461289319 |c Print |9 978-1-4612-8931-9 | ||
| 024 | 7 | |a 10.1007/978-1-4612-4578-0 |2 doi | |
| 035 | |a (OCoLC)863768515 | ||
| 035 | |a (DE-599)BVBBV042420318 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-703 |a DE-91 |a DE-634 | ||
| 082 | 0 | |a 519.5 |2 23 | |
| 084 | |a MAT 000 |2 stub | ||
| 100 | 1 | |a Read, Timothy R. C. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Goodness-of-Fit Statistics for Discrete Multivariate Data |c by Timothy R. C. Read, Noel A. C. Cressie |
| 264 | 1 | |a New York, NY |b Springer New York |c 1988 | |
| 300 | |a 1 Online-Ressource (XII, 212 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Springer Series in Statistics |x 0172-7397 | |
| 500 | |a The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The development of appropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the log likelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges "between" Pearson's X and the loglikelihood ratio G that has some valuable properties | ||
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Statistics, general | |
| 650 | 4 | |a Statistik | |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Multivariate Analyse |0 (DE-588)4040708-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Diskrete multivariate Analyse |0 (DE-588)4202144-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Multivariate Daten |0 (DE-588)4195680-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Güte der Anpassung |0 (DE-588)4202143-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Signifikanztest |0 (DE-588)4054949-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Anpassungstest |0 (DE-588)4208021-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Diskrete multivariate Analyse |0 (DE-588)4202144-3 |D s |
| 689 | 0 | 1 | |a Anpassungstest |0 (DE-588)4208021-6 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Güte der Anpassung |0 (DE-588)4202143-1 |D s |
| 689 | 1 | 1 | |a Diskrete multivariate Analyse |0 (DE-588)4202144-3 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 689 | 2 | 0 | |a Güte der Anpassung |0 (DE-588)4202143-1 |D s |
| 689 | 2 | 1 | |a Multivariate Daten |0 (DE-588)4195680-1 |D s |
| 689 | 2 | |8 3\p |5 DE-604 | |
| 689 | 3 | 0 | |a Signifikanztest |0 (DE-588)4054949-5 |D s |
| 689 | 3 | |8 4\p |5 DE-604 | |
| 689 | 4 | 0 | |a Multivariate Analyse |0 (DE-588)4040708-1 |D s |
| 689 | 4 | |8 5\p |5 DE-604 | |
| 689 | 5 | 0 | |a Statistik |0 (DE-588)4056995-0 |D s |
| 689 | 5 | |8 6\p |5 DE-604 | |
| 700 | 1 | |a Cressie, Noel A. C. |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4612-4578-0 |x Verlag |3 Volltext |
| 912 | |a ZDB-2-SMA |a ZDB-2-BAE | ||
| 940 | 1 | |q ZDB-2-SMA_Archive | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027855735 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 4\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 5\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 6\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804153092080402432 |
|---|---|
| any_adam_object | |
| author | Read, Timothy R. C. |
| author_facet | Read, Timothy R. C. |
| author_role | aut |
| author_sort | Read, Timothy R. C. |
| author_variant | t r c r trc trcr |
| building | Verbundindex |
| bvnumber | BV042420318 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)863768515 (DE-599)BVBBV042420318 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-4578-0 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04575nmm a2200745zc 4500</leader><controlfield tag="001">BV042420318</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20171011 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s1988 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461245780</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4612-4578-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461289319</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-4612-8931-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4612-4578-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)863768515</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042420318</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Read, Timothy R. C.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Goodness-of-Fit Statistics for Discrete Multivariate Data</subfield><subfield code="c">by Timothy R. C. Read, Noel A. C. Cressie</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">1988</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XII, 212 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Springer Series in Statistics</subfield><subfield code="x">0172-7397</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The development of appropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the log likelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges "between" Pearson's X and the loglikelihood ratio G that has some valuable properties</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics, general</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Multivariate Analyse</subfield><subfield code="0">(DE-588)4040708-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Diskrete multivariate Analyse</subfield><subfield code="0">(DE-588)4202144-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Multivariate Daten</subfield><subfield code="0">(DE-588)4195680-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Güte der Anpassung</subfield><subfield code="0">(DE-588)4202143-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Signifikanztest</subfield><subfield code="0">(DE-588)4054949-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Anpassungstest</subfield><subfield code="0">(DE-588)4208021-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Diskrete multivariate Analyse</subfield><subfield code="0">(DE-588)4202144-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Anpassungstest</subfield><subfield code="0">(DE-588)4208021-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Güte der Anpassung</subfield><subfield code="0">(DE-588)4202143-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Diskrete multivariate Analyse</subfield><subfield code="0">(DE-588)4202144-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Güte der Anpassung</subfield><subfield code="0">(DE-588)4202143-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Multivariate Daten</subfield><subfield code="0">(DE-588)4195680-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Signifikanztest</subfield><subfield code="0">(DE-588)4054949-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="4" ind2="0"><subfield code="a">Multivariate Analyse</subfield><subfield code="0">(DE-588)4040708-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2=" "><subfield code="8">5\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="5" ind2="0"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="5" ind2=" "><subfield code="8">6\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cressie, Noel A. C.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4612-4578-0</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027855735</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">4\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">5\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">6\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
| id | DE-604.BV042420318 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:06Z |
| institution | BVB |
| isbn | 9781461245780 9781461289319 |
| issn | 0172-7397 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855735 |
| oclc_num | 863768515 |
| open_access_boolean | |
| owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
| owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
| physical | 1 Online-Ressource (XII, 212 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1988 |
| publishDateSearch | 1988 |
| publishDateSort | 1988 |
| publisher | Springer New York |
| record_format | marc |
| series2 | Springer Series in Statistics |
| spelling | Read, Timothy R. C. Verfasser aut Goodness-of-Fit Statistics for Discrete Multivariate Data by Timothy R. C. Read, Noel A. C. Cressie New York, NY Springer New York 1988 1 Online-Ressource (XII, 212 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The development of appropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the log likelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges "between" Pearson's X and the loglikelihood ratio G that has some valuable properties Statistics Statistics, general Statistik Statistik (DE-588)4056995-0 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Diskrete multivariate Analyse (DE-588)4202144-3 gnd rswk-swf Multivariate Daten (DE-588)4195680-1 gnd rswk-swf Güte der Anpassung (DE-588)4202143-1 gnd rswk-swf Signifikanztest (DE-588)4054949-5 gnd rswk-swf Anpassungstest (DE-588)4208021-6 gnd rswk-swf Diskrete multivariate Analyse (DE-588)4202144-3 s Anpassungstest (DE-588)4208021-6 s 1\p DE-604 Güte der Anpassung (DE-588)4202143-1 s 2\p DE-604 Multivariate Daten (DE-588)4195680-1 s 3\p DE-604 Signifikanztest (DE-588)4054949-5 s 4\p DE-604 Multivariate Analyse (DE-588)4040708-1 s 5\p DE-604 Statistik (DE-588)4056995-0 s 6\p DE-604 Cressie, Noel A. C. Sonstige oth https://doi.org/10.1007/978-1-4612-4578-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Read, Timothy R. C. Goodness-of-Fit Statistics for Discrete Multivariate Data Statistics Statistics, general Statistik Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd Diskrete multivariate Analyse (DE-588)4202144-3 gnd Multivariate Daten (DE-588)4195680-1 gnd Güte der Anpassung (DE-588)4202143-1 gnd Signifikanztest (DE-588)4054949-5 gnd Anpassungstest (DE-588)4208021-6 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4040708-1 (DE-588)4202144-3 (DE-588)4195680-1 (DE-588)4202143-1 (DE-588)4054949-5 (DE-588)4208021-6 |
| title | Goodness-of-Fit Statistics for Discrete Multivariate Data |
| title_auth | Goodness-of-Fit Statistics for Discrete Multivariate Data |
| title_exact_search | Goodness-of-Fit Statistics for Discrete Multivariate Data |
| title_full | Goodness-of-Fit Statistics for Discrete Multivariate Data by Timothy R. C. Read, Noel A. C. Cressie |
| title_fullStr | Goodness-of-Fit Statistics for Discrete Multivariate Data by Timothy R. C. Read, Noel A. C. Cressie |
| title_full_unstemmed | Goodness-of-Fit Statistics for Discrete Multivariate Data by Timothy R. C. Read, Noel A. C. Cressie |
| title_short | Goodness-of-Fit Statistics for Discrete Multivariate Data |
| title_sort | goodness of fit statistics for discrete multivariate data |
| topic | Statistics Statistics, general Statistik Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd Diskrete multivariate Analyse (DE-588)4202144-3 gnd Multivariate Daten (DE-588)4195680-1 gnd Güte der Anpassung (DE-588)4202143-1 gnd Signifikanztest (DE-588)4054949-5 gnd Anpassungstest (DE-588)4208021-6 gnd |
| topic_facet | Statistics Statistics, general Statistik Multivariate Analyse Diskrete multivariate Analyse Multivariate Daten Güte der Anpassung Signifikanztest Anpassungstest |
| url | https://doi.org/10.1007/978-1-4612-4578-0 |
| work_keys_str_mv | AT readtimothyrc goodnessoffitstatisticsfordiscretemultivariatedata AT cressienoelac goodnessoffitstatisticsfordiscretemultivariatedata |