Book Description
This text presents Time Series analysis and Box-Jenkins models.
Author : Walter Vandaele
Publisher :
Page : 440 pages
File Size : 48,78 MB
Release : 1983
Category : Business & Economics
ISBN :
This text presents Time Series analysis and Box-Jenkins models.
Author :
Publisher : Pearson Education India
Page : 620 pages
File Size : 39,24 MB
Release : 1994-09
Category :
ISBN : 9788131716335
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.
Author : Terence C. Mills
Publisher : Academic Press
Page : 354 pages
File Size : 22,15 MB
Release : 2019-01-24
Category : Business & Economics
ISBN : 0128131179
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.
Author : Massimo Guidolin
Publisher : Academic Press
Page : 435 pages
File Size : 21,51 MB
Release : 2018-05-29
Category : Business & Economics
ISBN : 0128134100
Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advanced chapters provide discussion sections that refer to more advanced textbooks or detailed proofs. - Provides practical, hands-on examples in time-series econometrics - Presents a more application-oriented, less technical book on financial econometrics - Offers rigorous coverage, including technical aspects and references for the proofs, despite being an introduction - Features examples worked out in EViews (9 or higher)
Author : Alan Pankratz
Publisher : John Wiley & Sons
Page : 584 pages
File Size : 22,28 MB
Release : 1983-08-30
Category : Mathematics
ISBN :
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.
Author : Robert A. Yaffee
Publisher : Academic Press
Page : 556 pages
File Size : 16,99 MB
Release : 2000-04-27
Category : Mathematics
ISBN : 0127678700
A time series is a set of repeated measurements of the same phenomenon taken sequentially over time. Capturing the data creates a time series "memory" to document correlations or lack, and to help them make decisions based on this data.
Author : Jonathan D. Cryer
Publisher : Springer Science & Business Media
Page : 501 pages
File Size : 17,58 MB
Release : 2008-04-04
Category : Business & Economics
ISBN : 0387759581
This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.
Author : Richard McCleary
Publisher :
Page : 331 pages
File Size : 15,40 MB
Release : 1982
Category :
ISBN :
Author : Robert H. Shumway
Publisher :
Page : 568 pages
File Size : 36,31 MB
Release : 2014-01-15
Category :
ISBN : 9781475732627
Author : Aileen Nielsen
Publisher : O'Reilly Media
Page : 500 pages
File Size : 18,12 MB
Release : 2019-09-20
Category : Computers
ISBN : 1492041629
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance