Wolfgang wiedermann (144 risultati)

Condizione: New.

Paperback or Softback. Condizione: New. Direction Dependence Analysis: Foundations and Statistical Methods. Book.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 125 pages. 8.54x5.47x0.43 inches. In Stock.

paperback. Condizione: New.

Condizione: New. In.

Condizione: New.

Paperback. Condizione: Brand New. 406 pages. 6.00x0.80x9.00 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days.

Paperback. Condizione: Brand New. 406 pages. 6.00x0.80x9.00 inches. In Stock.

Paperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - While regression analysis is widely understood, it falls short in determining the causal direction of relationships in observational data. In this groundbreaking volume, Wiedermann and von Eye introduce Direction Dependence Analysis (DDA), a novel method that leverages variable information often overlooked by traditional techniques, such as higher-order moments like skewness and kurtosis. DDA reveals the asymmetry properties of regression and correlation, enabling researchers to evaluate competing causal hypotheses, assess the roles of variables in causal flows, and develop statistical methods for testing causal direction. This book provides a comprehensive formal description of DDA, illustrated with both artificial and real-world data examples. Additionally, readers will find free software implementations of DDA, making this an essential resource for researchers seeking to enhance their understanding of causal relationships in data analysis.…

Paperback. Condizione: new. Paperback. Dieser Band stellt umfassend die Methoden der Konfigurationsfrequenzanalyse (KFA) vor, eines von G.A. Lienert erstmals eingebrachten Verfahrens zur Testung von Hypothesen in Bezug auf Haeufigkeiten in individuellen Zellen oder Gruppen einer Kreuzklassifikation. Die Autoren, die die Methode weiterentwickelt haben, bieten eine umfassende Darstellung der Grundlagen, Modelle und konkreten Anwendungsfaelle in der psychologischen und sozialwissenschaftlichen, personen-orientierten Forschung. Dabei werden die Anfaenge der KFA und ihr Bezug zur Chi-Quadrat Analyse ebenso beschrieben wie die Entwicklungen, die auf log-linearen Modellen basieren. Fuer jedes Modell und fuer jede Fragestellung, die mit der KFA untersucht werden koennen, werden empirische Datenbeispiele praesentiert. Neue Ergebnisse werden durch Monte-Carlo Simulationen untermauert sowie neue Modelle entwickelt und vorgestellt.Das Buch richtet sich zum einen an Leser*innen, die ueber grundlegendes Hintergrundwissen in der angewandten Statistik aus einfuehrenden Kursen und Kursen ueber log-lineare Modelle verfuegen. Aber auch Leserinnen und Leser ohne diese Kenntnisse koennen von diesem Buch profitieren, weil alle noetigen technischen Elemente eigens eingefuehrt und erklaert werden. Computerprogramme werden vorgestellt und in Beispielen angewendet. Insgesamt stellt sich die KFA als statistische Methode dar, mit der fuer kategoriale Daten wichtige und interessante Fragen bearbeitet werden koennen, die im Kontext der Anwendung von Routinemethoden der Statistik nicht zugaenglich sind. Insgesamt stellt sich die KFA als statistische Methode dar, mit der fuer kategoriale Daten wichtige und interessante Fragen bearbeitet werden koennen, die im Kontext der Anwendung von Routinemethoden der Statistik nicht zugaenglich sind. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condizione: New.

Paperback. Condizione: new. Paperback. While regression analysis is widely understood, it falls short in determining the causal direction of relationships in observational data. In this groundbreaking volume, Wiedermann and von Eye introduce Direction Dependence Analysis (DDA), a novel method that leverages variable information often overlooked by traditional techniques, such as higher-order moments like skewness and kurtosis. DDA reveals the asymmetry properties of regression and correlation, enabling researchers to evaluate competing causal hypotheses, assess the roles of variables in causal flows, and develop statistical methods for testing causal direction. This book provides a comprehensive formal description of DDA, illustrated with both artificial and real-world data examples. Additionally, readers will find free software implementations of DDA, making this an essential resource for researchers seeking to enhance their understanding of causal relationships in data analysis. Discover the groundbreaking Direction Dependence Analysis (DDA), a powerful statistical method that enhances traditional regression and structural modeling by evaluating causal direction between variables. This book offers formal DDA methodologies, real-world applications, and introduces user-friendly DDA software for effective data analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

hardcover. Condizione: Fine.

Condizione: New.

Condizione: New.

hardcover. Condizione: Very Good.