Brief Reference Guide To The Sca Statistical System For Forecasting And Time Series Analysis
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Brief Reference Guide To The Sca Statistical System For Forecasting And Time Series Analysis
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Author : Scientific Computing Associates Corporation
language : en
Publisher:
Release Date : 199?
Brief Reference Guide To The Sca Statistical System For Forecasting And Time Series Analysis written by Scientific Computing Associates Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 199? with Box-Jenkins forecasting categories.
The Sca Statistical System
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Author : Lon-Mu Liu
language : en
Publisher:
Release Date : 1986
The Sca Statistical System written by Lon-Mu Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Time-series analysis categories.
Brief Reference Guide To The Sca Statistical System For General Statistical Analysis
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Author : Scientific Computing Associates Corporation
language : en
Publisher:
Release Date : 199?
Brief Reference Guide To The Sca Statistical System For General Statistical Analysis written by Scientific Computing Associates Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 199? with SCA Statistical System (Computer system) categories.
An Introduction To Time Series Analysis And Forecasting
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Author : Robert Alan Yaffee
language : en
Publisher: Elsevier
Release Date : 2000-05-12
An Introduction To Time Series Analysis And Forecasting written by Robert Alan Yaffee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-12 with Mathematics categories.
Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques. Describes principal approaches to time series analysis and forecasting Presents examples from public opinion research, policy analysis, political science, economics, and sociology Math level pitched to general social science usage Glossary makes the material accessible for readers at all levels
Forecasting And Time Series Analysis Using The Sca Statistical System
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Author : Lon-Mu Liu
language : it
Publisher:
Release Date : 1992
Forecasting And Time Series Analysis Using The Sca Statistical System written by Lon-Mu Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Forecasting And Time Series Analysis Using The Sca Statistical System
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Author :
language : en
Publisher:
Release Date : 1992
Forecasting And Time Series Analysis Using The Sca Statistical System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Business forecasting categories.
Forecasting And Time Series Analysis Using The Sca Statistical System
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Author : Scientific Computing Associates Corporation
language : en
Publisher:
Release Date : 1997-01
Forecasting And Time Series Analysis Using The Sca Statistical System written by Scientific Computing Associates Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01 with categories.
Forecasting And Time Series Analysis Using The Sca Statistical System
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Author : Scientific Computing Associates Corporation
language : en
Publisher:
Release Date : 1992-01
Forecasting And Time Series Analysis Using The Sca Statistical System written by Scientific Computing Associates Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01 with Computers categories.
Introduction To Time Series Analysis And Forecasting
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Author : Douglas C. Montgomery
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Introduction To Time Series Analysis And Forecasting written by Douglas C. Montgomery 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 2011-09-20 with Mathematics categories.
An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data. Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences. As a result, there is a widespread need for large groups of people in a variety of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice by equipping readers with the tools needed to analyze time-oriented data and construct useful, short- to medium-term, statistically based forecasts. Seven easy-to-follow chapters provide intuitive explanations and in-depth coverage of key forecasting topics, including: Regression-based methods, heuristic smoothing methods, and general time series models Basic statistical tools used in analyzing time series data Metrics for evaluating forecast errors and methods for evaluating and tracking forecasting performance over time Cross-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and weighted and generalized least squares Exponential smoothing techniques for time series with polynomial components and seasonal data Forecasting and prediction interval construction with a discussion on transfer function models as well as intervention modeling and analysis Multivariate time series problems, ARCH and GARCH models, and combinations of forecasts The ARIMA model approach with a discussion on how to identify and fit these models for non-seasonal and seasonal time series The intricate role of computer software in successful time series analysis is acknowledged with the use of Minitab, JMP, and SAS software applications, which illustrate how the methods are imple-mented in practice. An extensive FTP site is available for readers to obtain data sets, Microsoft Office PowerPoint slides, and selected answers to problems in the book. Requiring only a basic working knowledge of statistics and complete with exercises at the end of each chapter as well as examples from a wide array of fields, Introduction to Time Series Analysis and Forecasting is an ideal text for forecasting and time series courses at the advanced undergraduate and beginning graduate levels. The book also serves as an indispensable reference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences.
The Analysis Of Time Series
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Author : Chris Chatfield
language : en
Publisher: CRC Press
Release Date : 2019-04-25
The Analysis Of Time Series written by Chris Chatfield and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-25 with Mathematics categories.
This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, the Kalman filters, nonlinear models, volatility models, and multivariate models. It also presents many examples and implementations of time series models and methods to reflect advances in the field. Highlights of the seventh edition: A new chapter on univariate volatility models A revised chapter on linear time series models A new section on multivariate volatility models A new section on regime switching models Many new worked examples, with R code integrated into the text The book can be used as a textbook for an undergraduate or a graduate level time series course in statistics. The book does not assume many prerequisites in probability and statistics, so it is also intended for students and data analysts in engineering, economics, and finance.