Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | German |
Veröffentlicht: |
Göttingen
Vandenhoeck & Ruprecht
1983
|
Schriftenreihe: | Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ...
14 |
Schlagworte: | |
Beschreibung: | Literaturverz. S. 127 - 129 |
Beschreibung: | VI, 129 S. |
ISBN: | 3525112858 |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV009105477 | ||
003 | DE-604 | ||
005 | 20140429 | ||
007 | t | ||
008 | 940227s1983 m||| 00||| ger d | ||
020 | |a 3525112858 |9 3-525-11285-8 | ||
035 | |a (OCoLC)13306974 | ||
035 | |a (DE-599)BVBBV009105477 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a ger | |
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050 | 0 | |a QA278.2 | |
082 | 0 | |a 519.536 |2 19 | |
084 | |a QH 234 |0 (DE-625)141549: |2 rvk | ||
084 | |a SK 840 |0 (DE-625)143261: |2 rvk | ||
100 | 1 | |a Schmid, Friedrich |d 1947- |e Verfasser |0 (DE-588)132448491 |4 aut | |
245 | 1 | 0 | |a Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
264 | 1 | |a Göttingen |b Vandenhoeck & Ruprecht |c 1983 | |
300 | |a VI, 129 S. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... |v 14 | |
500 | |a Literaturverz. S. 127 - 129 | ||
502 | |a Zugl.: Hamburg, Univ., Habil.-Schr. | ||
650 | 4 | |a Mathematical statistics | |
650 | 4 | |a Regression analysis | |
650 | 0 | 7 | |a Lineares Regressionsmodell |0 (DE-588)4127971-2 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nichtlineare Regression |0 (DE-588)4251077-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Regressionsmodell |0 (DE-588)4127980-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nichtlineares Regressionsmodell |0 (DE-588)4251078-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Methode der kleinsten Quadrate |0 (DE-588)4038974-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Regressionsanalyse |0 (DE-588)4129903-6 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Methode der kleinsten Quadrate |0 (DE-588)4038974-1 |D s |
689 | 0 | 1 | |a Regressionsmodell |0 (DE-588)4127980-3 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Methode der kleinsten Quadrate |0 (DE-588)4038974-1 |D s |
689 | 1 | 1 | |a Nichtlineares Regressionsmodell |0 (DE-588)4251078-8 |D s |
689 | 1 | |8 1\p |5 DE-604 | |
689 | 2 | 0 | |a Nichtlineare Regression |0 (DE-588)4251077-6 |D s |
689 | 2 | 1 | |a Methode der kleinsten Quadrate |0 (DE-588)4038974-1 |D s |
689 | 2 | |8 2\p |5 DE-604 | |
689 | 3 | 0 | |a Regressionsanalyse |0 (DE-588)4129903-6 |D s |
689 | 3 | |8 3\p |5 DE-604 | |
689 | 4 | 0 | |a Lineares Regressionsmodell |0 (DE-588)4127971-2 |D s |
689 | 4 | |8 4\p |5 DE-604 | |
830 | 0 | |a Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... |v 14 |w (DE-604)BV000001661 |9 14 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-006036828 | ||
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 |
Datensatz im Suchindex
_version_ | 1804123521091108864 |
---|---|
any_adam_object | |
author | Schmid, Friedrich 1947- |
author_GND | (DE-588)132448491 |
author_facet | Schmid, Friedrich 1947- |
author_role | aut |
author_sort | Schmid, Friedrich 1947- |
author_variant | f s fs |
building | Verbundindex |
bvnumber | BV009105477 |
callnumber-first | Q - Science |
callnumber-label | QA278 |
callnumber-raw | QA278.2 |
callnumber-search | QA278.2 |
callnumber-sort | QA 3278.2 |
callnumber-subject | QA - Mathematics |
classification_rvk | QH 234 SK 840 |
ctrlnum | (OCoLC)13306974 (DE-599)BVBBV009105477 |
dewey-full | 519.536 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.536 |
dewey-search | 519.536 |
dewey-sort | 3519.536 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV009105477 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T17:31:05Z |
institution | BVB |
isbn | 3525112858 |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006036828 |
oclc_num | 13306974 |
open_access_boolean | |
owner | DE-N2 DE-188 |
owner_facet | DE-N2 DE-188 |
physical | VI, 129 S. |
publishDate | 1983 |
publishDateSearch | 1983 |
publishDateSort | 1983 |
publisher | Vandenhoeck & Ruprecht |
record_format | marc |
series | Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... |
series2 | Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... |
spelling | Schmid, Friedrich 1947- Verfasser (DE-588)132448491 aut Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen Göttingen Vandenhoeck & Ruprecht 1983 VI, 129 S. txt rdacontent n rdamedia nc rdacarrier Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... 14 Literaturverz. S. 127 - 129 Zugl.: Hamburg, Univ., Habil.-Schr. Mathematical statistics Regression analysis Lineares Regressionsmodell (DE-588)4127971-2 gnd rswk-swf Nichtlineare Regression (DE-588)4251077-6 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd rswk-swf Methode der kleinsten Quadrate (DE-588)4038974-1 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Methode der kleinsten Quadrate (DE-588)4038974-1 s Regressionsmodell (DE-588)4127980-3 s DE-604 Nichtlineares Regressionsmodell (DE-588)4251078-8 s 1\p DE-604 Nichtlineare Regression (DE-588)4251077-6 s 2\p DE-604 Regressionsanalyse (DE-588)4129903-6 s 3\p DE-604 Lineares Regressionsmodell (DE-588)4127971-2 s 4\p DE-604 Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... 14 (DE-604)BV000001661 14 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 |
spellingShingle | Schmid, Friedrich 1947- Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen Institut für Statistik und Ökonometrie <Hamburg>: Studien zur angewandten Wirtschaftsforschung und Statistik aus dem ... Mathematical statistics Regression analysis Lineares Regressionsmodell (DE-588)4127971-2 gnd Nichtlineare Regression (DE-588)4251077-6 gnd Regressionsmodell (DE-588)4127980-3 gnd Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
subject_GND | (DE-588)4127971-2 (DE-588)4251077-6 (DE-588)4127980-3 (DE-588)4251078-8 (DE-588)4038974-1 (DE-588)4129903-6 (DE-588)4113937-9 |
title | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_auth | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_exact_search | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_full | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_fullStr | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_full_unstemmed | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_short | Kleinste Quadrate-Schätzer in nichtlinearen Regressionsmodellen |
title_sort | kleinste quadrate schatzer in nichtlinearen regressionsmodellen |
topic | Mathematical statistics Regression analysis Lineares Regressionsmodell (DE-588)4127971-2 gnd Nichtlineare Regression (DE-588)4251077-6 gnd Regressionsmodell (DE-588)4127980-3 gnd Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
topic_facet | Mathematical statistics Regression analysis Lineares Regressionsmodell Nichtlineare Regression Regressionsmodell Nichtlineares Regressionsmodell Methode der kleinsten Quadrate Regressionsanalyse Hochschulschrift |
volume_link | (DE-604)BV000001661 |
work_keys_str_mv | AT schmidfriedrich kleinstequadrateschatzerinnichtlinearenregressionsmodellen |