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Titlebook: Advanced Statistics for Testing Assumed Causal Relationships; Multiple Regression Hooshang Nayebi Book 2020 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 20:08:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advanced Statistics for Testing Assumed Causal Relationships
期刊簡(jiǎn)稱Multiple Regression
影響因子2023Hooshang Nayebi
視頻videohttp://file.papertrans.cn/147/146236/146236.mp4
發(fā)行地址Provides nontechnical descriptions that help the reader to learn quickly.Includes twenty-one examples on test of the causal relationships that help the reader to understand applications well.Presents
學(xué)科分類University of Tehran Science and Humanities Series
圖書封面Titlebook: Advanced Statistics for Testing Assumed Causal Relationships; Multiple Regression Hooshang Nayebi Book 2020 The Editor(s) (if applicable)
影響因子.This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers..
Pindex Book 2020
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發(fā)表于 2025-3-21 21:17:20 | 只看該作者
Correction to: Advanced Statistics for Testing Assumed Causal Relationships,978-3-322-87675-1
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發(fā)表于 2025-3-22 01:14:34 | 只看該作者
地板
發(fā)表于 2025-3-22 06:59:22 | 只看該作者
Front Mattern und Proze?rechner, für die Vorausberechnung und Dimensionierung digitale Gro?rechenanlagen, Taschenrechner und Hybridrechenanlagen. Eine Betonung elektroni- scher Fachbereiche ist dem gebotenen Stoff nicht abzusprechen. Wichtig zur L?sung technischer Probleme sind vielf?ltige Ans?tze und Modellvor
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發(fā)表于 2025-3-22 09:22:14 | 只看該作者
2367-1092 iable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers..978-3-030-54756-1978-3-030-54754-7Series ISSN 2367-1092 Series E-ISSN 2367-1106
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發(fā)表于 2025-3-22 16:34:29 | 只看該作者
Front Matterhl zum vorliegenden Buch bestimmend, da? der Stoff der H?ufigkeit der praktisch-industriellen Anwendung entsprechen soll, der Anwendung bei Regelkreisentwurf, betrieb- licher Einstellung, Erweiterung und Verbesserung, getragen von konzentrierten Erfahrungen aus bekannten L?sungen. Weiters war für di
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發(fā)表于 2025-3-22 18:32:10 | 只看該作者
Interstitial Cells and Related Structurese the real relationships between the variables (phenomena) as a regression equation. It illustrates how the dependent variable (effect) is related to each of the independent variables (causes) as regression coefficients. Sections?1.2 and 1.3 give a brief overview of the changes of the regression coe
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發(fā)表于 2025-3-22 22:54:31 | 只看該作者
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發(fā)表于 2025-3-23 04:08:41 | 只看該作者
Cellular Biology of Gangliosides, independent variables on the probability of occurrence of an event which is one category of a binary dependent variable. Here, the effects of the variables are presented through odds, which are the ratio of the probability of an event will occur over the probability of the same event will not occur
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發(fā)表于 2025-3-23 06:24:52 | 只看該作者
Advanced Statistics for Testing Assumed Causal Relationships978-3-030-54754-7Series ISSN 2367-1092 Series E-ISSN 2367-1106
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