04087nam 2200529 450 991046072840332120191228212600.01-63157-386-1(CKB)3710000000531620(OCoLC)941873678(CaBNVSL)swl00406113(MiAaPQ)EBC4189528(MiAaPQ)EBC4947128(Au-PeEL)EBL4947128(CaPaEBR)ebr11424554(OCoLC)1001388187(EXLCZ)99371000000053162020191228d2016 uy 0engurcnu||||||||rdacontentrdamediardacarrierRegression analysis understanding and building business and economic models using Excel /J. Holton Wilson, Barry P. Keating, and Mary BealSecond edition.New York, NY :Business Expert Press,2016.1 online resource (vi, 194 pages)Quantitative Approaches to Decision Making CollectionIncludes index.1-63157-385-3 1. Background issues for regression analysis -- 2. Introduction to regression analysis -- 3. The ordinary least squares (OLS) regression model -- 4. Evaluation of ordinary least squares (OLS) regression models -- 5. Point and interval estimates from a regression model -- 6. Multiple linear regression -- 7. A market share multiple regression model -- 8. Qualitative events and seasonality in multiple regression models -- 9. Nonlinear regression models -- 10. Abercrombie & Fitch and jewelry sales regression case studies -- 11. The formal ordinary least squares (OLS) regression model -- Appendix. Some statistical background -- Index.This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. It is especially useful for those engaged in working with numbers--preparing forecasts, budgeting, estimating the effects of business decisions, and any of the forms of analytics that have recently become so useful. This book is a nontheoretical treatment that is accessible to readers with even a limited statistical background. This book specifically does not cover the theory of regression; it is designed to teach the correct use of regression, while advising the reader of its limitations and teaching about common pitfalls. It is useful for business professionals, MBA students, and others with a desire to understand regression analysis without having to work through tedious mathematical/statistical theory. This book describes exactly how regression models are developed and evaluated. Real data are used, instead of contrived textbook-like problems. The data used in the book are the kind of data managers are faced with in the real world. Included are instructions for using Microsoft Excel to build business/economic models using regression analysis with an appendix using screen shots and step-by-step instructions. Completing this book will allow you to understand and build basic business/economic models using regression analysis. You will be able to interpret the output of those models and you will be able to evaluate the models for accuracy and shortcomings. Even if you never build a model yourself, at some point in your career it is likely that you will find it necessary to interpret one; this book will make that possible.Quantitative approaches to decision making collection.Regression analysisElectronic books.Regression analysis.005.369Wilson J. Holton886415Keating Barry P.Beal MaryMiAaPQMiAaPQMiAaPQBOOK9910460728403321Regression analysis1979494UNINA05428nam 22006975 450 991072893780332120251225205449.09783031342417303134241010.1007/978-3-031-34241-7(MiAaPQ)EBC30555889(Au-PeEL)EBL30555889(OCoLC)1381095629(DE-He213)978-3-031-34241-7(BIP)091289188(PPN)270613676(CKB)26806705000041(EXLCZ)992680670500004120230530d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEnterprise, Business-Process and Information Systems Modeling 24th International Conference, BPMDS 2023, and 28th International Conference, EMMSAD 2023, Zaragoza, Spain, June 12–13, 2023, Proceedings /edited by Han van der Aa, Dominik Bork, Henderik A. Proper, Rainer Schmidt1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (351 pages)Lecture Notes in Business Information Processing,1865-1356 ;479Print version: van der Aa, Han Enterprise, Business-Process and Information Systems Modeling Cham : Springer,c2023 9783031342400 BPMDS 2023 -- Just Tell Me: Prompt Engineering in Business Process Management -- Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective -- Modelling and Execution of Data-Driven Processes with JSON-Nets -- Aligning object-centric event logs with data-centric conceptual models -- From Network Traffic Data to a business-level Event Log -- A Novel Decision Mining Method Considering Multiple Model Paths -- Modeling, Executing and Monitoring IoT-Driven Business Rules -- A Generic Approach towards Location-aware Business Process Execution -- Time-aware Contract Model for Legal Smart Contracts -- Efficient Computation of Behavioral Changes in Declarative Process Models Nicolai Schützenmeier -- Beyond Temporal Dependency: An Ontology-Based Approach to Modeling Causal Structures in Business Processes -- EMMSAD 2023 -- Principles of universal conceptual modeling -- Supporting Method Creation, Adaptation and Execution with a Low-code Approach -- IAT/ML: A Domain-Specific Approach for Discourse Analysis and Processing -- A First Validation of the Enterprise Architecture Debts Concept -- Modeling heterogeneous IT infrastructures: a collaborative component-oriented approach -- Exploring Capability Mapping as a Tool for Digital Transformation: insights from a Case Study -- TEC-MAP: a Taxonomy of Evaluation Criteria for Multi-Modeling Approaches -- Integrating Physical, Digital, and Virtual Modeling Environments in a Collaborative Design Thinking Tool -- Opportunities in Robotic Process Automation by and for Model-Driven Software Engineering -- A Requirements-Driven Framework for Automatic Data Visualization -- Comparing different visualizations for feedback on test execution in a Model-Driven Engineering environment -- Unblocking Inductive Miner - While Preserving Desirable Properties.This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.Lecture Notes in Business Information Processing,1865-1356 ;479Information technologyManagementBusiness information servicesSoftware engineeringApplication softwareComputer Application in Administrative Data ProcessingIT in BusinessSoftware EngineeringComputer and Information Systems ApplicationsInformation technologyManagement.Business information services.Software engineering.Application software.Computer Application in Administrative Data Processing.IT in Business.Software Engineering.Computer and Information Systems Applications.658.4038van der Aa Han905491Bork Dominik1367068Proper Erik1821658Schmidt Rainer481952MiAaPQMiAaPQMiAaPQBOOK9910728937803321Enterprise, Business-Process and Information Systems Modeling4464170UNINA