Applied Time Series Analysis for Managerial Forecasting
Title | Applied Time Series Analysis for Managerial Forecasting PDF eBook |
Author | Charles R. Nelson |
Publisher | |
Pages | 292 |
Release | 1973 |
Genre | Business & Economics |
ISBN |
Applied Time Series Analysis
Title | Applied Time Series Analysis PDF eBook |
Author | Terence C. Mills |
Publisher | Academic Press |
Pages | 354 |
Release | 2019-01-24 |
Genre | 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.
Applied Time Series Modelling and Forecasting
Title | Applied Time Series Modelling and Forecasting PDF eBook |
Author | Richard Harris |
Publisher | Wiley |
Pages | 316 |
Release | 2003-06-02 |
Genre | Business & Economics |
ISBN | 9780470844434 |
This book covers time series modeling and forecasting for econometrics and finance students. This new edition has been simplified for more ease of use and includes new chapters and substantial important revisions.
Practical Time Series Analysis
Title | Practical Time Series Analysis PDF eBook |
Author | Aileen Nielsen |
Publisher | O'Reilly Media |
Pages | 500 |
Release | 2019-09-20 |
Genre | 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
Time Series Analysis and Forecasting
Title | Time Series Analysis and Forecasting PDF eBook |
Author | Lon-Mu Liu |
Publisher | |
Pages | |
Release | 2006-01-01 |
Genre | Prediction theory |
ISBN | 9780976505662 |
Time Series Analysis: Forecasting & Control, 3/E
Title | Time Series Analysis: Forecasting & Control, 3/E PDF eBook |
Author | |
Publisher | Pearson Education India |
Pages | 620 |
Release | 1994-09 |
Genre | |
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.
Forecasting: principles and practice
Title | Forecasting: principles and practice PDF eBook |
Author | Rob J Hyndman |
Publisher | OTexts |
Pages | 380 |
Release | 2018-05-08 |
Genre | Business & Economics |
ISBN | 0987507117 |
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.