A Practical Guide to Box-Jenkins Forecasting
Author : John C. Hoff
Publisher :
Page : 344 pages
File Size : 41,88 MB
Release : 1983
Category : Business & Economics
ISBN :
Practical Guide to Business Forecasting
Author : Chaman L. Jain & Jack Malehorn
Publisher : Institute of Business Forec
Page : 516 pages
File Size : 27,87 MB
Release : 2005
Category : Business forecasting
ISBN : 9780932126757
Book Description
Time Series Analysis: Forecasting & Control, 3/E
Author :
Publisher : Pearson Education India
Page : 620 pages
File Size : 41,7 MB
Release : 1994-09
Category :
ISBN : 9788131716335
Book Description
This is a complete revision of a classic, seminal, and authoritative text that has been the model for most books on the topic written since 1970. It explores the building of stochastic (statistical) models for time series and their use in important areas of application -forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Applied Time Series Analysis
Author : Terence C. Mills
Publisher : Academic Press
Page : 354 pages
File Size : 12,65 MB
Release : 2019-01-24
Category : Business & Economics
ISBN : 0128131179
Book Description
Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others.
Hydrologic Time Series Analysis
Author : Deepesh Machiwal
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 41,86 MB
Release : 2012-03-05
Category : Science
ISBN : 9400718616
Book Description
There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.
Introduction to Time Series Analysis and Forecasting
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 670 pages
File Size : 42,65 MB
Release : 2015-04-21
Category : Mathematics
ISBN : 1118745159
Book Description
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.
Time Series Analysis and Forecasting by Example
Author : Søren Bisgaard
Publisher : John Wiley & Sons
Page : 346 pages
File Size : 35,48 MB
Release : 2011-08-24
Category : Mathematics
ISBN : 1118056957
Book Description
An intuition-based approach enables you to master time series analysis with ease Time Series Analysis and Forecasting by Example provides the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the discussed topics, the authors successfully help readers develop an intuitive understanding of seemingly complicated time series models and their implications. The book presents methodologies for time series analysis in a simplified, example-based approach. Using graphics, the authors discuss each presented example in detail and explain the relevant theory while also focusing on the interpretation of results in data analysis. Following a discussion of why autocorrelation is often observed when data is collected in time, subsequent chapters explore related topics, including: Graphical tools in time series analysis Procedures for developing stationary, non-stationary, and seasonal models How to choose the best time series model Constant term and cancellation of terms in ARIMA models Forecasting using transfer function-noise models The final chapter is dedicated to key topics such as spurious relationships, autocorrelation in regression, and multiple time series. Throughout the book, real-world examples illustrate step-by-step procedures and instructions using statistical software packages such as SAS, JMP, Minitab, SCA, and R. A related Web site features PowerPoint slides to accompany each chapter as well as the book's data sets. With its extensive use of graphics and examples to explain key concepts, Time Series Analysis and Forecasting by Example is an excellent book for courses on time series analysis at the upper-undergraduate and graduate levels. it also serves as a valuable resource for practitioners and researchers who carry out data and time series analysis in the fields of engineering, business, and economics.
Strategic Business Forecasting
Author : Jae K. Shim
Publisher : CRC Press
Page : 312 pages
File Size : 39,14 MB
Release : 2000-01-28
Category : Business & Economics
ISBN : 9781574442519
Book Description
A book on practical business forecasting belongs in the library of everyone interested in business. Forecasting is extremely important to finance and accounting executives, business economists and managers at all levels. Strategic Business Forecasting: The Complete Guide to Forecasting Real World Company Performance provides you with a working knowledge of the fundamentals of business forecasting that can be applied in the real world regardless of the size of the firm. The author explains the basic forecasting methodology and the practical applications. All aspects of business are discussed, making this a comprehensive and valuable reference. The author avoids theoretical and mathematical discussions to gets right into how, when , and why to use this book. Many practical examples, applications, illustrations, guidelines, measures, checklists, rules of thumb, tips, graphs, diagrams and tables aid your comprehension of the subject. The author displays and explains printouts obtained using many popular spreadsheet programs and software packages. The book goes far beyond just sales forecasting, encompassing a wide range of topics of major importance to practical business managers and finance professionals, including cash flow forecasting, cost prediction, earnings forecasts, bankruptcy prediction, foreign exchange forecasting, and interest rate forecasting. Written in an easy-to-read style, it is practical, current, and intriguing - a reference book to use throughout your business career.
Applied Time Series Econometrics
Author : Geda, Alemayehu
Publisher : University of Nairobi Press
Page : 205 pages
File Size : 15,68 MB
Release : 2015-03-16
Category : Business & Economics
ISBN : 9966792112
Book Description
This book attempts to demystify time series econometrics so as to equip macroeconomic researchers focusing on Africa with solid but accessible foundation in applied time series techniques that can deal with challenges of developing economic models using African data.
Service Systems Engineering and Management
Author : A. Ravi Ravindran
Publisher : CRC Press
Page : 520 pages
File Size : 34,62 MB
Release : 2018-04-18
Category : Business & Economics
ISBN : 149872308X
Book Description
Recipient of the 2019 IISE Institute of Industrial and Systems Engineers Joint Publishers Book-of-the-Year Award This is a comprehensive textbook on service systems engineering and management. It emphasizes the use of engineering principles to the design and operation of service enterprises. Service systems engineering relies on mathematical models and methods to solve problems in the service industries. This textbook covers state-of-the-art concepts, models and solution methods important in the design, control, operations and management of service enterprises. Service Systems Engineering and Management begins with a basic overview of service industries and their importance in today’s economy. Special challenges in managing services, namely, perishability, intangibility, proximity and simultaneity are discussed. Quality of service metrics and methods for measuring them are then discussed. Evaluating the design and operation of service systems frequently involves the conflicting criteria of cost and customer service. This textbook presents two approaches to evaluate the performance of service systems – Multiple Criteria Decision Making and Data Envelopment Analysis. The textbook then discusses several topics in service systems engineering and management – supply chain optimization, warehousing and distribution, modern portfolio theory, revenue management, retail engineering, health systems engineering and financial services. Features: Stresses quantitative models and methods in service systems engineering and management Includes chapters on design and evaluation of service systems, supply chain engineering, warehousing and distribution, financial engineering, healthcare systems, retail engineering and revenue management Bridges theory and practice Contains end-of-chapter problems, case studies, illustrative examples, and real-world applications Service Systems Engineering and Management is primarily addressed to those who are interested in learning how to apply operations research models and methods for managing service enterprises. This textbook is well suited for industrial engineering students interested in service systems applications and MBA students in elective courses in operations management, logistics and supply chain management that emphasize quantitative analysis.
