Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen

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1. Verfasser: Frost, Ira (VerfasserIn)
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Veröffentlicht: Wiesbaden Springer VS [2018]
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Datensatz im Suchindex

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author Frost, Ira
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physical 1 Online-Ressource (VIII, 37 Seiten) Illustrationen
psigel ZDB-2-ECF
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publishDate 2018
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publisher Springer VS
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series2 essentials
spellingShingle Frost, Ira
Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen
Statistics
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Business/Economics/Mathematical Finance/Insurance
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistical Theory and Methods
Statistik
Lineare Regression (DE-588)4167709-2 gnd
subject_GND (DE-588)4167709-2
title Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen
title_auth Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen
title_exact_search Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen
title_full Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen Irasianty Frost
title_fullStr Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen Irasianty Frost
title_full_unstemmed Einfache lineare Regression Die Grundlage für komplexe Regressionsmodelle verstehen Irasianty Frost
title_short Einfache lineare Regression
title_sort einfache lineare regression die grundlage fur komplexe regressionsmodelle verstehen
title_sub Die Grundlage für komplexe Regressionsmodelle verstehen
topic Statistics
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Business/Economics/Mathematical Finance/Insurance
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistical Theory and Methods
Statistik
Lineare Regression (DE-588)4167709-2 gnd
topic_facet Statistics
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Business/Economics/Mathematical Finance/Insurance
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistical Theory and Methods
Statistik
Lineare Regression
url https://doi.org/10.1007/978-3-658-19732-2
work_keys_str_mv AT frostira einfachelineareregressiondiegrundlagefurkomplexeregressionsmodelleverstehen