Download or read book FORECASTING AND PREDICTIVE ANALYTICS WITH FORECAST X TM written by Barry Keating and published by . This book was released on 2018-03-04 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Forecasting and Predictive Analytics with ForecastX written by Barry Keating and published by . This book was released on 2018 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Loose Leaf for Forecasting and Predictive Analytics with Forecast X written by J. Holton Wilson and published by McGraw-Hill Education. This book was released on 2018-02-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting and Predictive Analytics, Seventh Edition, is the most practical forecasting book on the market with the most powerful software: ForecastX. This edition presents a broad-based survey of business forecasting methods, including subjective and objective approaches. The authors, Keating and Wilson, deliver practical how-to forecasting techniques, along with dozens of real-world data sets while holding theory and math to a minimum. Today, most business planning routinely begins with a sales forecast. Whether you are an accountant, a marketer, a human resources manager, a data scientist, or a financial analyst, sooner or later, you will have to predict something. This book is designed to lead students through the most helpful techniques to use in any prediction effort. New to This Edition•Four new chapters focus on predictive analytics, recognizing the importance of these tools in today's prediction efforts.•Examples of predictive analytics are based on historical data, much like what students may encounter in their own forecasts.•Techniques are explained as procedures, allowing students to replicate them with their own data.•All chapters now include Learning Objectives.•The ForecastX software sections are updated and clarified.Retained Features •Real-world data are used throughout the text, which consists almost entirely of real-world examples, showing readers how to deal with real-life problems and difficulties in a realistic environment.•Extended examples are presented in each chapter. Two examples are used to demonstrate the progression of techniques needed to solve each issue; these examples provide a realistic illustration of the concepts that are relevant to the student used in the text. One example features sales data from The Gap, whereas another example uses domestic car sales data.•By consistently providing all the data in Excel, the leading calculation software used in business, students recognize its compatibility with ForecastX software.•Screenshots of problems help students better conceptualize problems. The edition includes many screenshots of actual problems, and the data for each of these examples and problems are included in the accompanying ForecastX software. For Connect users, the free ReadAnywhere downloadable app is available on iOS and Android mobile devices. It gives students mobile freedom to access their ebook anywhere, even offline, on their smartphone or tablet. Once chapters are downloaded, students can use the same tools that are available in the ebook and any notes or highlights they make in the ebook will sync across platforms. Visit https://www.mheducation.com/highered/explore/readanywhere.html for more information.
Download or read book Business Forecasting written by J. Holton Wilson and published by Irwin/McGraw-Hill. This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Forecasting and Predictive Analytics written by Keating and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Business Forecasting with Accompanying Excel based Forecastx Software written by J. Holton Wilson and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Practical Time Series Forecasting written by Galit Shmueli and published by Axelrod Schnall Publishers. This book was released on 2016-08-30 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Time Series Forecasting: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: - Popular forecasting methods including smoothing algorithms, regression models, and neural networks - A practical approach to evaluating the performance of forecasting solutions - A business-analytics exposition focused on linking time-series forecasting to business goals - Guided cases for integrating the acquired knowledge using real data - End-of-chapter problems to facilitate active learning - A companion site with data sets, learning resources, and instructor materials (solutions to exercises, case studies) - Globally-available textbook, available in both softcover and Kindle formats Practical Time Series Forecasting: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com
Download or read book Forecasting with Artificial Intelligence written by Mohsen Hamoudia and published by Springer Nature. This book was released on 2023-10-22 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.
Download or read book Forecasting and Time Series Analysis written by Douglas C. Montgomery and published by McGraw-Hill Companies. This book was released on 1990 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical, user-oriented second edition describes how to use statistical modeling and analysis methods for forecasting and prediction problems. Statistical and mathematical terms are introduced only as they are needed, and every effort has been made to keep the mathematical and statistical prerequisites to a minimum. Every technique that is introduced is illustrated by fully worked numerical examples. Not only is the coverage of traditional forecasting methods greatly expanded in this new edition, but a number of new techniques and methods are covered as well.
Download or read book IoT AI and Blockchain for NET written by Nishith Pathak and published by Apress. This book was released on 2018-08-14 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application
Download or read book Statistical Forecasting written by Warren Gilchrist and published by John Wiley & Sons. This book was released on 1976 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting for some basic models; The forecasting process.
Download or read book Time Series Forecasting written by Chris Chatfield and published by CRC Press. This book was released on 2000-10-25 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the author of the bestselling "Analysis of Time Series," Time-Series Forecasting offers a comprehensive, up-to-date review of forecasting methods. It provides a summary of time-series modelling procedures, followed by a brief catalogue of many different time-series forecasting methods, ranging from ad-hoc methods through ARIMA and state-space
Download or read book Forecasting written by Spyros G. Makridakis and published by . This book was released on 1998-01-06 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Known from its last editions as the "Bible of Forecasting", the third edition of this authoritative text has adopted a new approach-one that is as new as the latest trends in the field: "Explaining the past is not adequate for predicting the future". In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts.
Download or read book Business Forecasting Second Edition written by A. Reza Hoshmand and published by Routledge. This book was released on 2009-12-04 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the rationale, application, and interpretation of the most commonly used forecasting techniques in business.
Download or read book Forecasting Financial Time Series Using Model Averaging written by Francesco Ravazzolo and published by Rozenberg Publishers. This book was released on 2007 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Believing in a single model may be dangerous, and addressing model uncertainty by averaging different models in making forecasts may be very beneficial. In this thesis we focus on forecasting financial time series using model averaging schemes as a way to produce optimal forecasts. We derive and discuss in simulation exercises and empirical applications model averaging techniques that can reproduce stylized facts of financial time series, such as low predictability and time-varying patterns. We emphasize that model averaging is not a "magic" methodology which solves a priori problems of poorly forecasting. Averaging techniques have an essential requirement: individual models have to fit data. In the first section we provide a general outline of the thesis and its contributions to previ ous research. In Chapter 2 we focus on the use of time varying model weight combinations. In Chapter 3, we extend the analysis in the previous chapter to a new Bayesian averaging scheme that models structural instability carefully. In Chapter 4 we focus on forecasting the term structure of U.S. interest rates. In Chapter 5 we attempt to shed more light on forecasting performance of stochastic day-ahead price models. We examine six stochastic price models to forecast day-ahead prices of the two most active power exchanges in the world: the Nordic Power Exchange and the Amsterdam Power Exchange. Three of these forecasting models include weather forecasts. To sum up, the research finds an increase of forecasting power of financial time series when parameter uncertainty, model uncertainty and optimal decision making are included.
Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Download or read book Introduction to Time Series Analysis and Forecasting written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2015-04-27 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "...[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second Edition presents the underlying theories of time series analysis that are needed to analyze time-oriented data and construct real-world short- to medium-term statistical forecasts. Authored by highly-experienced academics and professionals in engineering statistics, the Second Edition features discussions on both popular and modern time series methodologies as well as an introduction to Bayesian methods in forecasting. Introduction to Time Series Analysis and Forecasting, Second Edition also includes: Over 300 exercises from diverse disciplines including health care, environmental studies, engineering, and finance More than 50 programming algorithms using JMP®, SAS®, and R that illustrate the theory and practicality of forecasting techniques in the context of time-oriented data New material on frequency domain and spatial temporal data analysis Expanded coverage of the variogram and spectrum with applications as well as transfer and intervention model functions A supplementary website featuring PowerPoint® slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, Second Edition is an ideal textbook upper-undergraduate and graduate-levels courses in forecasting and time series. The book is also an excellent reference for practitioners and researchers who need to model and analyze time series data to generate forecasts.
