Statistical Methods: The Geometric Approach
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1991
|
Schriftenreihe: | Springer Texts in Statistics
|
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV042419694 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 150317s1991 |||| o||u| ||||||eng d | ||
020 | |a 9781461209713 |c Online |9 978-1-4612-0971-3 | ||
020 | |a 9781461269656 |c Print |9 978-1-4612-6965-6 | ||
024 | 7 | |a 10.1007/978-1-4612-0971-3 |2 doi | |
035 | |a (OCoLC)1184365735 | ||
035 | |a (DE-599)BVBBV042419694 | ||
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 Saville, David J. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Statistical Methods: The Geometric Approach |c by David J. Saville, Graham R. Wood |
264 | 1 | |a New York, NY |b Springer New York |c 1991 | |
300 | |a 1 Online-Ressource (XV, 561 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Springer Texts in Statistics |x 1431-875X | |
500 | |a This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The key feature is that these tools are viewed in their natural mathematical setting, the geometry of finite dimensions. The Authors To introduce ourselves, Dave Saville is a practicing statistician working in agricultural research; Graham Wood is a university lecturer involved in the teaching of statistical methods. Each of us has worked for sixteen years in our current field. Features of the Book People like pictures. One picture can present a set of ideas at a glance, while a series of pictures, each building on the last, can unify a wealth of ideas. Such a series we present in this text by means of a systematic geometric approach to the presentation of the theory of basic statistical methods. This approach fills the void between the traditional extremes of the "cookbook" approach and the "matrix algebra" approach, providing an elementary but at the same time rigorous view of the subject. It combines the virtues of the traditional methods, while avoiding their vices | ||
650 | 4 | |a Statistics | |
650 | 4 | |a Statistics, general | |
650 | 4 | |a Statistik | |
650 | 0 | 7 | |a Geometrie |0 (DE-588)4020236-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Methode |0 (DE-588)4038971-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Regressionsanalyse |0 (DE-588)4129903-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Varianzanalyse |0 (DE-588)4187413-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Vektorgeometrie |0 (DE-588)4264867-1 |2 gnd |9 rswk-swf |
655 | 7 | |8 1\p |0 (DE-588)4151278-9 |a Einführung |2 gnd-content | |
689 | 0 | 0 | |a Statistik |0 (DE-588)4056995-0 |D s |
689 | 0 | 1 | |a Methode |0 (DE-588)4038971-6 |D s |
689 | 0 | 2 | |a Geometrie |0 (DE-588)4020236-7 |D s |
689 | 0 | |8 2\p |5 DE-604 | |
689 | 1 | 0 | |a Varianzanalyse |0 (DE-588)4187413-4 |D s |
689 | 1 | 1 | |a Vektorgeometrie |0 (DE-588)4264867-1 |D s |
689 | 1 | |8 3\p |5 DE-604 | |
689 | 2 | 0 | |a Regressionsanalyse |0 (DE-588)4129903-6 |D s |
689 | 2 | 1 | |a Vektorgeometrie |0 (DE-588)4264867-1 |D s |
689 | 2 | |8 4\p |5 DE-604 | |
689 | 3 | 0 | |a Geometrie |0 (DE-588)4020236-7 |D s |
689 | 3 | 1 | |a Regressionsanalyse |0 (DE-588)4129903-6 |D s |
689 | 3 | |8 5\p |5 DE-604 | |
689 | 4 | 0 | |a Geometrie |0 (DE-588)4020236-7 |D s |
689 | 4 | 1 | |a Varianzanalyse |0 (DE-588)4187413-4 |D s |
689 | 4 | |8 6\p |5 DE-604 | |
700 | 1 | |a Wood, Graham R. |e Sonstige |4 oth | |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4612-0971-3 |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:BVB01-027855111 | ||
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
DE-BY-TUM_katkey | 2066703 |
---|---|
_version_ | 1816714047887769600 |
any_adam_object | |
author | Saville, David J. |
author_facet | Saville, David J. |
author_role | aut |
author_sort | Saville, David J. |
author_variant | d j s dj djs |
building | Verbundindex |
bvnumber | BV042419694 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA ZDB-2-BAE |
ctrlnum | (OCoLC)1184365735 (DE-599)BVBBV042419694 |
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 | 10.1007/978-1-4612-0971-3 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04077nmm a2200757zc 4500</leader><controlfield tag="001">BV042419694</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s1991 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461209713</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4612-0971-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461269656</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-4612-6965-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4612-0971-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1184365735</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042419694</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">Saville, David J.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical Methods: The Geometric Approach</subfield><subfield code="c">by David J. Saville, Graham R. Wood</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">1991</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XV, 561 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 Texts in Statistics</subfield><subfield code="x">1431-875X</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The key feature is that these tools are viewed in their natural mathematical setting, the geometry of finite dimensions. The Authors To introduce ourselves, Dave Saville is a practicing statistician working in agricultural research; Graham Wood is a university lecturer involved in the teaching of statistical methods. Each of us has worked for sixteen years in our current field. Features of the Book People like pictures. One picture can present a set of ideas at a glance, while a series of pictures, each building on the last, can unify a wealth of ideas. Such a series we present in this text by means of a systematic geometric approach to the presentation of the theory of basic statistical methods. This approach fills the void between the traditional extremes of the "cookbook" approach and the "matrix algebra" approach, providing an elementary but at the same time rigorous view of the subject. It combines the virtues of the traditional methods, while avoiding their vices</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">Geometrie</subfield><subfield code="0">(DE-588)4020236-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Methode</subfield><subfield code="0">(DE-588)4038971-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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">Regressionsanalyse</subfield><subfield code="0">(DE-588)4129903-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Varianzanalyse</subfield><subfield code="0">(DE-588)4187413-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Vektorgeometrie</subfield><subfield code="0">(DE-588)4264867-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4151278-9</subfield><subfield code="a">Einführung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" 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="0" ind2="1"><subfield code="a">Methode</subfield><subfield code="0">(DE-588)4038971-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Geometrie</subfield><subfield code="0">(DE-588)4020236-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Varianzanalyse</subfield><subfield code="0">(DE-588)4187413-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Vektorgeometrie</subfield><subfield code="0">(DE-588)4264867-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Regressionsanalyse</subfield><subfield code="0">(DE-588)4129903-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Vektorgeometrie</subfield><subfield code="0">(DE-588)4264867-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Geometrie</subfield><subfield code="0">(DE-588)4020236-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2="1"><subfield code="a">Regressionsanalyse</subfield><subfield code="0">(DE-588)4129903-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="8">5\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="4" ind2="0"><subfield code="a">Geometrie</subfield><subfield code="0">(DE-588)4020236-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2="1"><subfield code="a">Varianzanalyse</subfield><subfield code="0">(DE-588)4187413-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2=" "><subfield code="8">6\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wood, Graham R.</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/10.1007/978-1-4612-0971-3</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:BVB01-027855111</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> |
genre | 1\p (DE-588)4151278-9 Einführung gnd-content |
genre_facet | Einführung |
id | DE-604.BV042419694 |
illustrated | Not Illustrated |
indexdate | 2024-11-25T17:51:13Z |
institution | BVB |
isbn | 9781461209713 9781461269656 |
issn | 1431-875X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855111 |
oclc_num | 1184365735 |
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 (XV, 561 p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 1991 |
publishDateSearch | 1991 |
publishDateSort | 1991 |
publisher | Springer New York |
record_format | marc |
series2 | Springer Texts in Statistics |
spellingShingle | Saville, David J. Statistical Methods: The Geometric Approach Statistics Statistics, general Statistik Geometrie (DE-588)4020236-7 gnd Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd Regressionsanalyse (DE-588)4129903-6 gnd Varianzanalyse (DE-588)4187413-4 gnd Vektorgeometrie (DE-588)4264867-1 gnd |
subject_GND | (DE-588)4020236-7 (DE-588)4038971-6 (DE-588)4056995-0 (DE-588)4129903-6 (DE-588)4187413-4 (DE-588)4264867-1 (DE-588)4151278-9 |
title | Statistical Methods: The Geometric Approach |
title_auth | Statistical Methods: The Geometric Approach |
title_exact_search | Statistical Methods: The Geometric Approach |
title_full | Statistical Methods: The Geometric Approach by David J. Saville, Graham R. Wood |
title_fullStr | Statistical Methods: The Geometric Approach by David J. Saville, Graham R. Wood |
title_full_unstemmed | Statistical Methods: The Geometric Approach by David J. Saville, Graham R. Wood |
title_short | Statistical Methods: The Geometric Approach |
title_sort | statistical methods the geometric approach |
topic | Statistics Statistics, general Statistik Geometrie (DE-588)4020236-7 gnd Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd Regressionsanalyse (DE-588)4129903-6 gnd Varianzanalyse (DE-588)4187413-4 gnd Vektorgeometrie (DE-588)4264867-1 gnd |
topic_facet | Statistics Statistics, general Statistik Geometrie Methode Regressionsanalyse Varianzanalyse Vektorgeometrie Einführung |
url | https://doi.org/10.1007/978-1-4612-0971-3 |
work_keys_str_mv | AT savilledavidj statisticalmethodsthegeometricapproach AT woodgrahamr statisticalmethodsthegeometricapproach |