Verfügbarkeit: Kleinste-Quadrate-Schätzer in nichtlinearen Regressionsmodellen

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Bibliographische Detailangaben
Titel:	Kleinste-Quadrate-Schätzer in nichtlinearen Regressionsmodellen
Person:	Schmid, Friedrich 1947- Verfasser aut
Hauptverfasser:	Schmid, Friedrich 1947- (VerfasserIn)
Format:	Buch
Sprache:	Deutsch
Veröffentlicht:	Göttingen Vandenhoeck & Ruprecht 1983
Schriftenreihe:	Studien zur angewandten Wirtschaftsforschung und Statistik 14.
Notation:	QH 234 SK 840
Schlagwörter:	Mathematical statistics Regression analysis Nichtlineares Regressionsmodell Regressionsanalyse Methode der kleinsten Quadrate Nichtlineare Regression Lineares Regressionsmodell Regressionsmodell Hochschulschrift Lineare Approximation
Umfang:	VI, 129 S.
ISBN:	3525112858

Internformat

MARC


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Datensatz im Suchindex

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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-
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building	Verbundindex
bvnumber	BV006006874
callnumber-first	Q - Science
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callnumber-subject	QA - Mathematics
classification_rvk	QH 234 SK 840
ctrlnum	(OCoLC)13306974 (DE-599)BVBBV006006874
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	Book
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genre	1\p (DE-588)4113937-9 Hochschulschrift gnd-content Lineare Approximation gnd
genre_facet	Hochschulschrift Lineare Approximation
id	DE-604.BV006006874
illustrated	Not Illustrated
indexdate	2024-12-20T08:41:40Z
institution	BVB
isbn	3525112858
language	German
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-003775861
oclc_num	13306974
open_access_boolean
owner	DE-703 DE-355 DE-BY-UBR
owner_facet	DE-703 DE-355 DE-BY-UBR
physical	VI, 129 S.
publishDate	1983
publishDateSearch	1983
publishDateSort	1983
publisher	Vandenhoeck & Ruprecht
record_format	marc
series	Studien zur angewandten Wirtschaftsforschung und Statistik
series2	Studien zur angewandten Wirtschaftsforschung und Statistik
spellingShingle	Schmid, Friedrich 1947- Kleinste-Quadrate-Schätzer in nichtlinearen Regressionsmodellen Studien zur angewandten Wirtschaftsforschung und Statistik Mathematical statistics Regression analysis Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd Regressionsanalyse (DE-588)4129903-6 gnd Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Nichtlineare Regression (DE-588)4251077-6 gnd Lineares Regressionsmodell (DE-588)4127971-2 gnd Regressionsmodell (DE-588)4127980-3 gnd
subject_GND	(DE-588)4251078-8 (DE-588)4129903-6 (DE-588)4038974-1 (DE-588)4251077-6 (DE-588)4127971-2 (DE-588)4127980-3 (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 Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd Regressionsanalyse (DE-588)4129903-6 gnd Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Nichtlineare Regression (DE-588)4251077-6 gnd Lineares Regressionsmodell (DE-588)4127971-2 gnd Regressionsmodell (DE-588)4127980-3 gnd
topic_facet	Mathematical statistics Regression analysis Nichtlineares Regressionsmodell Regressionsanalyse Methode der kleinsten Quadrate Nichtlineare Regression Lineares Regressionsmodell Regressionsmodell Hochschulschrift Lineare Approximation
volume_link	(DE-604)BV000001661
work_keys_str_mv	AT schmidfriedrich kleinstequadrateschatzerinnichtlinearenregressionsmodellen

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