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1. |
Record Nr. |
UNINA9910797703003321 |
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Autore |
Wilson J. Holton |
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Titolo |
Regression analysis : understanding and building business and economic models using Excel / / J. Holton Wilson, Barry P. Keating, and Mary Beal |
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Pubbl/distr/stampa |
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New York, NY : , : Business Expert Press, , 2016 |
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ISBN |
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Edizione |
[Second edition.] |
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Descrizione fisica |
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1 online resource (vi, 194 pages) |
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Collana |
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Quantitative Approaches to Decision Making Collection |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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2. |
Record Nr. |
UNINA9910983352303321 |
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Autore |
Jia Limin |
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Titolo |
The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems : Volume II / / edited by Limin Jia, Yi Liu, Zhihong Xu, Longfei Tang, Kai Song, Yonghui Liu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (841 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1317 |
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Altri autori (Persone) |
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LiuYi |
XuZhihong |
TangLongfei |
SongKai |
LiuYonghui |
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Disciplina |
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Soggetti |
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Electric power production |
Electronics |
Electronic circuits |
Electrical Power Engineering |
Electronics and Microelectronics, Instrumentation |
Electronic Circuits and Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Novel Inertia Control Method with Phase-Locked Error Feedforward in PLL for DFIG-based WTs -- Double-loop Control of Seven-Dimensional Chaos Model of Power System -- Development, Evolution and International Alignment of China's Green Electricity-Green Certificate Policy -- Novel Control Strategy for Single-phase Single-stage Isolated AC/DC Converters -- Dynamic spatial-temporal graph neural network for ultra short-term PV power generation forecasting -- Selective Miniature Circuit Breaker Operation Mechanism Motion Process Mechanical Properties Optimization Analysis -- A Compact All-Solid-State Bipolar Pulse Adder -- A Novel Reluctance Machine with Skewed Magnetized Stator Permanent Magnet for Low-speed High Torque Density Applications -- Numerical simulation study of the film-forming characteristics of water mist in battery packs -- Research on Influence of Asynchronous Condenser on The Frequency Characteristics of New Energy Power System. |
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Sommario/riassunto |
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This conference is one of the most significant annual events of the China Electrotechnical Society, showcasing the latest research trends, methodologies, and experimental results in electrical, electronic, and networked energy systems. The proceedings cover a wide range of cutting-edge theories and ideas, including topics such as power systems, power electronics, smart grids, renewable energy, energy integration in transportation, advanced power technologies, and the energy internet. The aim of these proceedings is to provide a key interdisciplinary platform for researchers, engineers, academics, and industry professionals to present groundbreaking developments in the field of electrical, electronic, and networked energy systems. It also offers engineers and researchers from academia, industry, and government a comprehensive view of innovative solutions that integrate concepts from multiple disciplines. These volumes serve as a valuable reference for researchers and graduate students in electrical engineering. |
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