Statistical Methods For Forecasting
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Statistical Methods For Forecasting
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Author : Bovas Abraham
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Statistical Methods For Forecasting written by Bovas Abraham and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book, it must be said, lives up to the words on its advertising cover: 'Bridging the gap between introductory, descriptive approaches and highly advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of forecasting tools, and explains how they relate to one another, both in theory and practice.' It does just that!" -Journal of the Royal Statistical Society "A well-written work that deals with statistical methods and models that can be used to produce short-term forecasts, this book has wide-ranging applications. It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates." -Choice Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.
Statistical Methods In The Atmospheric Sciences
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Author : Daniel S. Wilks
language : en
Publisher: Academic Press
Release Date : 2011-05-20
Statistical Methods In The Atmospheric Sciences written by Daniel S. Wilks and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-20 with Mathematics categories.
This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The book will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.
Data Analysis For Engineers And Statisticians A Modern Guide To Statistical Methods And Techniques
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-07
Data Analysis For Engineers And Statisticians A Modern Guide To Statistical Methods And Techniques written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Technology & Engineering categories.
Data Analysis for Engineers and Statisticians: A Modern Guide to Statistical Methods and Techniques is an invaluable resource for professionals seeking to master the art of data analysis. This comprehensive book provides a solid foundation in statistical principles and techniques, empowering readers to confidently tackle real-world data analysis challenges. With its focus on practical applications and step-by-step guidance, this book is an essential companion for engineers, statisticians, and anyone involved in data-driven decision-making. It covers a wide range of topics, from the basics of data analysis to advanced statistical methods, ensuring readers are equipped to handle complex data analysis tasks. Key Features: * Comprehensive Coverage: Encompasses a wide range of statistical methods and techniques, providing a thorough understanding of data analysis. * Practical Approach: Real-world examples and case studies illustrate the application of statistical methods in various fields, making the concepts relatable and applicable. * Clear Explanations: Complex statistical concepts are explained in a clear and concise manner, making them accessible to readers with diverse backgrounds. * Hands-on Activities: Numerous exercises and hands-on activities reinforce learning and provide opportunities for readers to apply statistical methods to real-world data. * Up-to-Date Content: Includes the latest statistical methods and techniques, ensuring readers are equipped with the most current knowledge and skills. This book is an essential resource for professionals in various fields, including engineering, statistics, business, healthcare, and social sciences. It is also an excellent textbook for undergraduate and graduate courses in data analysis, statistics, and related disciplines. With its comprehensive coverage, practical approach, and clear explanations, Data Analysis for Engineers and Statisticians: A Modern Guide to Statistical Methods and Techniques is the ultimate guide for anyone seeking to master the art of data analysis. If you like this book, write a review!
Robustness In Statistical Forecasting
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Author : Yuriy Kharin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-04
Robustness In Statistical Forecasting written by Yuriy Kharin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-04 with Mathematics categories.
This book offers solutions to such topical problems as developing mathematical models and descriptions of typical distortions in applied forecasting problems; evaluating robustness for traditional forecasting procedures under distortionism and more.
Statistical Methods
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Author : Dr. Nidhi Tewatia
language : en
Publisher: Chyren Publication
Release Date : 2024-10-22
Statistical Methods written by Dr. Nidhi Tewatia and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Antiques & Collectibles categories.
Time Series Analysis And Forecasting By Example
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Author : Søren Bisgaard
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-24
Time Series Analysis And Forecasting By Example written by Søren Bisgaard and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Mathematics categories.
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.
Statistical Analysis Handbook
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Author : Dr Michael John de Smith
language : en
Publisher: The Winchelsea Press
Release Date :
Statistical Analysis Handbook written by Dr Michael John de Smith and has been published by The Winchelsea Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools.
Statistical Methods For Environmental And Agricultural Sciences
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Author : Reza Hoshmand
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Statistical Methods For Environmental And Agricultural Sciences written by Reza Hoshmand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Mathematics categories.
The first edition of this book, popular around the world, is surpassed only by this new Second Edition. Improvements such as new and revised exercises, a broad range of practical and relevant case studies, and expanded theoretical concepts make this even better for users of statistics. The book emphasizes the practical application of statistics and provides examples in various fields of environmental and agriculture sciences. Because it uses simple, non-mathematical language to present statistical techniques, the reader requires only a familiarity with elementary algebra and mathematical notations to understand and apply the concepts described. This logically organized book covers the following topics: Part 1 introduces statistical concepts as they apply to different fields of environmental and agriculture sciences and provides descriptive measures of central tendency and variability; Part 2 covers probability and sampling concepts used in inferential statistics; Part 3 presents parametric methods in hypothesis testing, which include research designs; Part 4 discusses a number of nonparametric techniques; Part 5 explains tests of association and prediction; and lastly, analysis of change over time is detailed in Part 6. The appendices contain statistical tables for reference purposes.
Methods And Applications Of Statistics In Business Finance And Management Science
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Author : Narayanaswamy Balakrishnan
language : en
Publisher: John Wiley & Sons
Release Date : 2010-07-13
Methods And Applications Of Statistics In Business Finance And Management Science written by Narayanaswamy Balakrishnan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-13 with Mathematics categories.
Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume presents the tools and techniques that are essential for carrying out best practices in the modern business world The collection and analysis of quantitative data drives some of the most important conclusions that are drawn in today's business world, such as the preferences of a customer base, the quality of manufactured products, the marketing of products, and the availability of financial resources. As a result, it is essential for individuals working in this environment to have the knowledge and skills to interpret and use statistical techniques in various scenarios. Addressing this need, Methods and Applications of Statistics in Business, Finance, and Management Science serves as a single, one-of-a-kind resource that guides readers through the use of common statistical practices by presenting real-world applications from the fields of business, economics, finance, operations research, and management science. Uniting established literature with the latest research, this volume features classic articles from the acclaimed Encyclopedia of Statistical Sciences, Second Edition along with brand-new contributions written by today's leading academics and practitioners. The result is a compilation that explores classic methodology and new topics, including: Analytical methods for risk management Statistical modeling for online auctions Ranking and selection in mutual funds Uses of Black-Scholes formula in finance Data mining in prediction markets From auditing and marketing to stock market price indices and banking, the presented literature sheds light on the use of quantitative methods in research relating to common financial applications. In addition, the book supplies insight on common uses of statistical techniques such as Bayesian methods, optimization, simulation, forecasting, mathematical modeling, financial time series, and data mining in modern research. Providing a blend of traditional methodology and the latest research, Methods and Applications of Statistics in Business, Finance, and Management Science is an excellent reference for researchers, managers, consultants, and students in the fields of business, management science, operations research, supply chain management, mathematical finance, and economics who must understand statistical literature and carry out quantitative practices to make smart business decisions in their everyday work.
Statistical Methods For Climate Scientists
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Author : Timothy DelSole
language : en
Publisher: Cambridge University Press
Release Date : 2022-02-24
Statistical Methods For Climate Scientists written by Timothy DelSole and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Mathematics categories.
An accessible introduction to statistical methods for students in the climate sciences.