Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Time Series Data

Chapter 13
Handbook of Research on Economic, Financial, and Industrial Impacts on Infrastructure Development
A set of statistics, usually collected at regular intervals. Secondary time series data for two countries of Asia viz. India and China over the period 1996-2014 has been used to provide an empirical support to the various comparative analysis. Correlation and regression analysis are used to arrive at the results.
Published in Chapter:
Trade Liberalization, Infrastructure Development, and FDI in India and China
Rajib Bhattacharyya (Hooghly Mohsin College, India)
Copyright: © 2017 |Pages: 27
DOI: 10.4018/978-1-5225-2361-1.ch013
Abstract
The two largest economies in Emerging Asia, China and India, are considered to be the ‘power houses' of global economy. China and India adopted the policy of ‘opening up to the outside world' respectively in 1978 and 1991. Trade openness and infrastructure development has been acknowledged as crucial pre-conditions for attracting foreign direct investment (FDI). China's path of development was guided by the so called fast growing nations, which laid substantial emphasis on building strong infrastructural base at great speed. But India, on the other hand did not adopt the strategy of building infrastructure base prior to the growth of demand, like the one which has been followed by most successful Asian countries achieving rapid infrastructure development. So early opening up and improved infrastructure has attracted more FDI in China than in India. So the present study seeks to examine the relationship between trade liberalization, infrastructure development and FDI inflows in India and China using secondary time series data in a comparative analytical framework.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 48
Copula-Based Multivariate Time Series Models
A sequence of chronologically ordered in time or space quantitative observations, for example asset prices, exchange rates, stock exchange indices, the dynamics of monetary aggregates, imports, or exports. There exist two types of time series data: univariate (only one variable is measured over time or space) and multivariate (involves simultaneous measurement of more than one variable).
Published in Chapter: Copula-Based Multivariate Time Series Models; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
Segmented Dynamic Time Warping: A Comparative and Applicational Study
An indexed series of data points taken at equally spaced points in time in a sequential order.
Published in Chapter: Segmented Dynamic Time Warping: A Comparative and Applicational Study; From: Emerging Technologies and Applications in Data Processing and Management
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
Analysis of Non-Stationary Time-Series Business Data
Data collected over a period such as a month, quarter or year on one or more variables.
Published in Chapter: Analysis of Non-Stationary Time-Series Business Data; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 16
Relationship Between Military Expenditure, Economic Growth, and Social Expenditure in India, China, and Bangladesh
The entire analysis is based on secondary time-series data. A time series is a set of statistics, usually collected at regular intervals. Time series data occur naturally in many application areas. The aims of time series analysis are to describe and summarize time series data, fit low-dimensional models, and make forecasts. In general, the time series models employ the stationary series as they are mean reverting, ensuring the constancy of parameters (mean, variance etc.) and having limited memory of past behavior (i.e., shocks are only transitory). For non-stationary series, such as random walk, the parameters are time dependent (or varying). The presence of either unit root (s) or deterministic trend (or both) will lead to the non-stationarity.
Published in Chapter: Relationship Between Military Expenditure, Economic Growth, and Social Expenditure in India, China, and Bangladesh; From: Handbook of Research on Military Expenditure on Economic and Political Resources
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR