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Partial Least Squares Strukturgleichungsmodelli...
41,00 € *
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Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.Dieses Buch liefert eine anwendungsorientierte Einführung in die PLS-SEM. Der Fokus liegt auf den Grundlagen des Verfahrens und deren praktischer Umsetzung mit Hilfe der SmartPLS-Software. Das Konzept des Buches setzt dabei auf einfache Erläuterungen statistischer Ansätze und die anschauliche Darstellung zahlreicher Anwendungsbeispiele anhand einer einheitlichen Fallstudie. Viele Grafiken, Tabellen und Illustrationen erleichtern das Verständnis der PLS-SEM. Zudem werden dem Leser herunterladbare Datensätze, Videos, Aufgaben und weitere Fachartikel zur Vertiefung angeboten. Damit eignet sich das Buch hervorragend für Studierende, Forscher und Praktiker, die die PLS-SEM zur Gewinnung von Ergebnissen mit den eigenen Daten und Modellen nutzen möchten.SmartPLS ist das führende Softwareprogramm zur Schätzung von PLS-basierten Strukturgleichungsmodellen. Die Erläuterungen und die im Buch vorgeschlagenen Vorgehensweisen spiegeln den aktuellen Stand der Forschung wider.Das AutorenteamJoseph F. Hair, Jr. ist Professor für Marketing an der University of South Alabama und mit mehr als 50 veröffentlichten Büchern, darunter das mit über 140.000 Zitationen als weltweites Standardwerk zu bezeichnende Buch "Multivariate Data Analysis", einer der führenden Experten auf dem Gebiet der anwendungsorientierten Statistik.G. Thomas Hult ist Professor für Marketing und International Business am Eli Broad College of Business an der Michigan State University und mit mehr als 31.000 Zitationen bei Google Scholar einer der meist zitierten Forscher in den Wirtschaftswissenschaften, der sich in seiner Forschung intensiv mit verschiedenen Verfahren der SEMauseinandersetzt.Christian M. Ringle ist Professor für Betriebswirtschaftslehre und Leiter des Instituts für Personalwirtschaft und Arbeitsorganisation an der Technischen Universität Hamburg (und assoziierter Professor an der University of Newcastle in Australien), Mitentwickler von SmartPLS und einer der prominentesten Vertreter der PLS-SEM in der weltweiten Forschungslandschaft.Marko Sarstedt ist Professor für Marketing an der Otto-von-Guericke Universität Magdeburg (und assoziierter Professor an der University of Newcastle in Australien), laut Handelsblatt-Ranking einer der führenden Junior-Marketingforscher und einer der prominentesten Vertreter der PLS-SEM in der weltweiten Forschungslandschaft.Nicole F. Richter ist Professorin für International Business an der University of Southern Denmark und beschäftigt sich seit ihrer Habilitation am Institut von Prof. Ringle in ihren Publikationen kritisch mit dem Einsatz statistischer Verfahren in der internationalen Managementforschung.Sven Hauff vertritt aktuell die Professur für Arbeit, Personal und Organisation an der Helmut-Schmidt-Universität in Hamburg und wendet seit seiner Dissertation die PLS-SEM in verschiedenen Forschungs- und Publikationsprojekten an.

Anbieter: buecher
Stand: 05.04.2020
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SAP Business Planning and Consolidation - Guidl...
92,00 € *
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The book is aimed primarily at employees in the finance, controlling, planning and IT departments. Likewise to Business experienced IT and Business Consultant.As with most software implementations, implementing or moving to Business Process and Consolidation (BPC), an SAP application for financial planning and consolidation, requires more than just technical know-how. Although the big beneficiaries of the BPC implementation are financial planners, controllers and analysts, the success (or failure) of many other actors is influenced by the implementation of SAP BPC. It should be clear to all involved that BPC can not equate a SEM-BCS system with its professional versatility. This primarily relates to the IFRS-compliant consolidation application in the daily FAST CLOSING PROCESS in legal and management consolidation. In addition, support for the SAP application SEM-BCS is more effective than the limited support / support resources at SAP BPC.In large corporations, a combined application of SEM-BCS with BPC is performed, which is an optimal complement between actual consolidation and planning / budgeting.To what extent in the future in a cloud landscape an effective integration of the components S / 4HANA, BPC, IP and SEM-BCS respectively BOFC successfully designed the FAST CLOSING PROCESS will depend to a great extent on the know-how of the business consultant, IT colleagues, users and SAP support.This book is your comprehensive guide to setting up standard and embedded SAP BPC. Preview Real-Time Consolidation and see how to migrate to SAP BPC 10.1 to stay on the cutting edge of SAP BPC.Application examples show the handling and setting of the following functions-Implement standard and embedded SAP BPC-Set up consolidation: ownership, intercompany eliminations, journal entries.....-Standard and embedded SAP BPC-Reporting-Data loading-Forecasting, planning-Consolidation-SAP HANA-Data Manager-Migration-Real-Time Consolidation

Anbieter: Dodax
Stand: 05.04.2020
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IFRS - FINANCIAL CONSOLIDATION WITH SAP SEM-BCS
96,00 € *
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The Consolidation Consolidation concept describes the BW model based on the procedure model for the implementation of the SAP SEM BCS software for a globally operating industrial group.The focus of the analysis is the technical implementation of the requirements for mapping the IFRS consolidated financial statements using SAP standard software. SEM-BCS 6.00.This IT design contains the technical specifications of the technical requirements. The application design was divided into the main topics data model, master data, measures, methods, reporting and interfaces. In addition to this main document, there are some technical details in the appendix, as well as the corresponding references.This paper is to be used as a handbook for the SEM-BCS Introduction. The aim of this manual is to introduce the SEM-BCS with its individual steps, starting with the BCS activation from the business content, building up, defining the data model in BW, as well as selecting, defining and customizing the consolidation measures and Display methods by example settings.Likewise, the "initial technical consolidation, balance sheet consolidation, download with data stream and also the technique" purchase price distribution "(PPA) are discussed in detail.

Anbieter: Dodax
Stand: 05.04.2020
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Partial Least Squares Strukturgleichungsmodelli...
39,80 € *
ggf. zzgl. Versand

Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.Dieses Buch liefert eine anwendungsorientierte Einführung in die PLS-SEM. Der Fokus liegt auf den Grundlagen des Verfahrens und deren praktischer Umsetzung mit Hilfe der SmartPLS-Software. Das Konzept des Buches setzt dabei auf einfache Erläuterungen statistischer Ansätze und die anschauliche Darstellung zahlreicher Anwendungsbeispiele anhand einer einheitlichen Fallstudie. Viele Grafiken, Tabellen und Illustrationen erleichtern das Verständnis der PLS-SEM. Zudem werden dem Leser herunterladbare Datensätze, Videos, Aufgaben und weitere Fachartikel zur Vertiefung angeboten. Damit eignet sich das Buch hervorragend für Studierende, Forscher und Praktiker, die die PLS-SEM zur Gewinnung von Ergebnissen mit den eigenen Daten und Modellen nutzen möchten.SmartPLS ist das führende Softwareprogramm zur Schätzung von PLS-basierten Strukturgleichungsmodellen. Die Erläuterungen und die im Buch vorgeschlagenen Vorgehensweisen spiegeln den aktuellen Stand der Forschung wider.Das AutorenteamJoseph F. Hair, Jr. ist Professor für Marketing an der University of South Alabama und mit mehr als 50 veröffentlichten Büchern, darunter das mit über 140.000 Zitationen als weltweites Standardwerk zu bezeichnende Buch "Multivariate Data Analysis", einer der führenden Experten auf dem Gebiet der anwendungsorientierten Statistik.G. Thomas Hult ist Professor für Marketing und International Business am Eli Broad College of Business an der Michigan State University und mit mehr als 31.000 Zitationen bei Google Scholar einer der meist zitierten Forscher in den Wirtschaftswissenschaften, der sich in seiner Forschung intensiv mit verschiedenen Verfahren der SEM auseinandersetzt.Christian M. Ringle ist Professor für Betriebswirtschaftslehre und Leiter des Instituts für Personalwirtschaft und Arbeitsorganisation an der Technischen Universität Hamburg (und assoziierter Professor an der University of Newcastle in Australien), Mitentwickler von SmartPLS und einer der prominentesten Vertreter der PLS-SEM in der weltweiten Forschungslandschaft.Marko Sarstedt ist Professor für Marketing an der Otto-von-Guericke Universität Magdeburg (und assoziierter Professor an der University of Newcastle in Australien), laut Handelsblatt-Ranking einer der führenden Junior-Marketingforscher und einer der prominentesten Vertreter der PLS-SEM in der weltweiten Forschungslandschaft.Nicole F. Richter ist Professorin für International Business an der University of Southern Denmark und beschäftigt sich seit ihrer Habilitation am Institut von Prof. Ringle in ihren Publikationen kritisch mit dem Einsatz statistischer Verfahren in der internationalen Managementforschung.Sven Hauff vertritt aktuell die Professur für Arbeit, Personal und Organisation an der Helmut-Schmidt-Universität in Hamburg und wendet seit seiner Dissertation die PLS-SEM in verschiedenen Forschungs- und Publikationsprojekten an.

Anbieter: Dodax
Stand: 05.04.2020
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Structural Equation Modelling
159,00 CHF *
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Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject's recent advances. * Demonstrates how to utilize powerful statistical computing tools, including the Gibbs sampler, the Metropolis-Hasting algorithm, bridge sampling and path sampling to obtain the Bayesian results. * Discusses the Bayes factor and Deviance Information Criterion (DIC) for model comparison. * Includes coverage of complex models, including SEMs with ordered categorical variables, and dichotomous variables, nonlinear SEMs, two-level SEMs, multisample SEMs, mixtures of SEMs, SEMs with missing data, SEMs with variables from an exponential family of distributions, and some of their combinations. * Illustrates the methodology through simulation studies and examples with real data from business management, education, psychology, public health and sociology. * Demonstrates the application of the freely available software WinBUGS via a supplementary website featuring computer code and data sets. Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psychology, public health and social science.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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Basic and Advanced Bayesian Structural Equation...
153,00 CHF *
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This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing. * Introduces the Bayesian approach to SEMs, including discussion on the selection of prior distributions, and data augmentation. * Demonstrates how to utilize the recent powerful tools in statistical computing including, but not limited to, the Gibbs sampler, the Metropolis-Hasting algorithm, and path sampling for producing various statistical results such as Bayesian estimates and Bayesian model comparison statistics in the analysis of basic and advanced SEMs. * Discusses the Bayes factor, Deviance Information Criterion (DIC), and $L_nu$-measure for Bayesian model comparison. * Introduces a number of important generalizations of SEMs, including multilevel and mixture SEMs, latent curve models and longitudinal SEMs, semiparametric SEMs and those with various types of discrete data, and nonparametric structural equations. * Illustrates how to use the freely available software WinBUGS to produce the results. * Provides numerous real examples for illustrating the theoretical concepts and computational procedures that are presented throughout the book. Researchers and advanced level students in statistics, biostatistics, public health, business, education, psychology and social science will benefit from this book.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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A First Course in Structural Equation Modeling
52,90 CHF *
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In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software. Highlights of the Second Edition include: . Review of latent change (growth) analysis models at an introductory level . Coverage of the popular Mplus program . Updated examples of LISREL and EQS . A CD that contains all of the text's LISREL, EQS, and Mplus examples. A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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Business Intelligence
10,00 CHF *
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O que fazer quando é preciso melhorar o processo de tomada de decisões na sua empresa? A resposta geralmente é 'Business Intelligence', mas o que, de fato, é BI? Quais os reais benefícios e desafios dessa metodologia e das tecnologias existentes no mercado que prometem implementá-la? Qual o custo envolvido na implantação de uma solução de BI e em sua evolução dentro da empresa? Neste livro, Ronaldo Braghittoni explica o que é (de verdade) Business Intelligence, como ele é composto, o que esperar dele, por que implementá-lo e os desafios de um projeto de BI. Você acompanhará o passo a passo para implementar uma plataforma de BI na íntegra, com exemplos, códigos, explicações e conceitos que lhe permitirão solucionar os cenários reais de sua empresa sem gastar nenhum centavo com licenciamento de software.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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Basic and Advanced Bayesian Structural Equation...
85,00 CHF *
ggf. zzgl. Versand

This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing. * Introduces the Bayesian approach to SEMs, including discussion on the selection of prior distributions, and data augmentation. * Demonstrates how to utilize the recent powerful tools in statistical computing including, but not limited to, the Gibbs sampler, the Metropolis-Hasting algorithm, and path sampling for producing various statistical results such as Bayesian estimates and Bayesian model comparison statistics in the analysis of basic and advanced SEMs. * Discusses the Bayes factor, Deviance Information Criterion (DIC), and $L_nu$-measure for Bayesian model comparison. * Introduces a number of important generalizations of SEMs, including multilevel and mixture SEMs, latent curve models and longitudinal SEMs, semiparametric SEMs and those with various types of discrete data, and nonparametric structural equations. * Illustrates how to use the freely available software WinBUGS to produce the results. * Provides numerous real examples for illustrating the theoretical concepts and computational procedures that are presented throughout the book. Researchers and advanced level students in statistics, biostatistics, public health, business, education, psychology and social science will benefit from this book.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
Zum Angebot