Recent Advances in Modeling and Forecasting Kaiyu
Author | : Saburo Saito |
Publisher | : Springer Nature |
Total Pages | : 620 |
Release | : |
Genre | : |
ISBN | : 9819912415 |
Download Recent Advances in Modeling and Forecasting Kaiyu Book in PDF, ePub and Kindle
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Recent Advances In Modeling And Forecasting Kaiyu PDF full book. Access full book title Recent Advances In Modeling And Forecasting Kaiyu.
Author | : Saburo Saito |
Publisher | : Springer Nature |
Total Pages | : 620 |
Release | : |
Genre | : |
ISBN | : 9819912415 |
Author | : Cagdas Hakan Aladag |
Publisher | : Bentham Science Publishers |
Total Pages | : 143 |
Release | : 2012 |
Genre | : Mathematics |
ISBN | : 1608053733 |
"Time series analysis is applicable in a variety of disciplines such as business administration, economics, public finances, engineering, statistics, econometrics, mathematics and actuarial sciences. Forecasting the future assists in critical organizationa"
Author | : Dinesh C.S. Bisht |
Publisher | : CRC Press |
Total Pages | : 183 |
Release | : 2021-09-08 |
Genre | : Mathematics |
ISBN | : 1000433846 |
Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology and applications, presents traditional and advanced tools, new applications, and identifies the gaps in knowledge in engineering applications. This book is aimed at scientists, researchers, postgraduate students and engineers in the areas of supply chain management, production, inventory planning, and statistical quality control.
Author | : Saburo Saito |
Publisher | : Springer |
Total Pages | : 467 |
Release | : 2019-01-30 |
Genre | : Business & Economics |
ISBN | : 9811317399 |
This book is the first systematic exposition of advances in Kaiyu studies carried out by the author and his colleagues in Japan and other parts of Asia. Consumer shop-around behavior is referred to as Kaiyu in Japanese, a term widely used in several fields such as city planning, marketing, real estate, tourism, and regional policy. The book demonstrates how Kaiyu research has evolved from the original idea to the present state and envisages prospective Kaiyu studies in the age of big data and the Internet of Things (IoT). The distinguishing feature of their research is that Kaiyu is regarded as consumers’ simultaneous decisions sequentially made while undertaking their shop-arounds as to which shops they visit, for what purpose, and how much they spend there. This is a sharp contrast to much research on trip chains, which only deal with spatial movements. As a result, their studies first succeeded in empirically exploring the relationships between consumer shop-around movements and money flows among shopping sites within a city center retail environment. As a result, the author and his coworkers uncovered the roles of many urban policies and facilities inexplicit so far by revealing how they contribute to the turnover of the whole town through stimulating Kaiyu. This gives a universal means of evaluation for urban development policy. Thus they have refreshed the scope of consumer shop-around studies from shop-around movements in the context of city planning, shopping marketing, and evaluation of urban revitalization policy, to town equity researches. This book presents step by step these conceptual developments by showing concrete research examples from their vast Kaiyu studies based on numerous empirical interview surveys at real retail environments.
Author | : Raquel Prado |
Publisher | : CRC Press |
Total Pages | : 473 |
Release | : 2021-07-27 |
Genre | : Mathematics |
ISBN | : 1498747043 |
• Expanded on aspects of core model theory and methodology. • Multiple new examples and exercises. • Detailed development of dynamic factor models. • Updated discussion and connections with recent and current research frontiers.
Author | : Cagdas Hakan Aladag |
Publisher | : Bentham Science Publishers |
Total Pages | : 196 |
Release | : 2017-12-06 |
Genre | : Mathematics |
ISBN | : 1681085283 |
This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications.
Author | : Mohsen Hamoudia |
Publisher | : Springer Nature |
Total Pages | : 441 |
Release | : 2023-10-22 |
Genre | : Business & Economics |
ISBN | : 3031358791 |
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.
Author | : Clemente Ocejo Elizondo |
Publisher | : |
Total Pages | : 0 |
Release | : 2022 |
Genre | : |
ISBN | : |
Time series forecasting is an important task in many fields from supply chain management to weather forecasting. Traditionally there have been many simple models that extrapolate trends and seasonal patterns from individual time series in order to forecast future values, but not until recently have DNNs (Deep Neural Networks) been leveraged to capture complex relationships between time series as well as within the time series. Recent advances in Transformer architectures have shown promising results in this domain but have yet to show success in a retail settings. In these settings, forecasts are needed at granular levels (product-store) where the data is quite sparse. In this work we will develop new Transformer-based models to successfully predict the demand of a retailer in a medical device manufacturing setting. We will do this by proposing new positional encoding methods that aim to capture trends that specific medical products follow. We also propose new attention mechanisms attending over features and time series independently to generate more descriptive interactions. Ultimately we hope to combine this Transformer with more traditional time series models such as Holt-Winters as a way to alleviate some of the predictive responsibility from the Transformer which require relatively large amounts of data to train as compared to traditional time series methods.
Author | : Cheng F. Lee |
Publisher | : Center for PBBEFR & Ainosco Press |
Total Pages | : |
Release | : 2018-01-01 |
Genre | : Business & Economics |
ISBN | : 9866286746 |
Advances in Financial Planning and Froecasting (New Series) is an annual publication designed to disseminate developments in the area of financial analysis, planning, and forecasting. The publication is a froum for statistical, quantitative, and accounting analyses of issues in financial analysis and planning in terms of finance, accounting, and economic data.
Author | : Delun Wang |
Publisher | : Springer Nature |
Total Pages | : 649 |
Release | : 2019-09-06 |
Genre | : Technology & Engineering |
ISBN | : 9811501424 |
Gathering the proceedings of the conference MeTrApp 2019, this book covers topics such as mechanism and machinery design, parallel manipulators, robotics and mechatronics, control applications, mechanical transmissions, cam and gear mechanisms, and dynamics of machinery. MeTrApp 2019 provided researchers, scientists, industry experts, and graduate students from around the globe with a platform to share their cutting-edge work on mechanisms, transmissions, and their applications. The proceedings extend this platform to all researchers, scientists, industry experts, and students interested in these fields.