What Is Time Series What Are The Components Of Time Series
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An Introduction to State Space Time Series Analysis
Author: Jacques J. F. Commandeur
language: en
Publisher: OUP Oxford
Release Date: 2007-07-19
Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic knowledge of classical linear regression models, of which a brief review is provided to refresh the reader's knowledge. Also, a few sections assume familiarity with matrix algebra, however, these sections may be skipped without losing the flow of the exposition. The book offers a step by step approach to the analysis of the salient features in time series such as the trend, seasonal, and irregular components. Practical problems such as forecasting and missing values are treated in some detail. This useful book will appeal to practitioners and researchers who use time series on a daily basis in areas such as the social sciences, quantitative history, biology and medicine. It also serves as an accompanying textbook for a basic time series course in econometrics and statistics, typically at an advanced undergraduate level or graduate level.
Wiley CIA 2022 Exam Review, Part 3
Author: S. Rao Vallabhaneni
language: en
Publisher: John Wiley & Sons
Release Date: 2021-10-19
Complete exam review for the third part of the Certified Internal Auditor exam The Wiley CIA 2022 Part 3 Exam Review: Business Knowledge for Internal Auditing offers students preparing for the Certified Internal Auditor 2022 exam complete coverage of the business knowledge portion of the test. Entirely consistent with the guidelines set by the Institute of Internal Auditors (IIA), this resource covers each of the four domains explored by the test, including: Business acumen. Information security. Information technology. Financial management. This reference provides an accessible and efficient learning experience for students, regardless of their current level of comfort with the material.
Energy Time Series Forecasting
Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting process is realized by a number of approaches on the logical as well as on the physical layer that we introduce in the course of this book. Nominated for the Georg-Helm-Preis 2015 awarded by the Technische Universität Dresden.