Economists can use computer algebra systems to manipulate symbolic models, derive numerical computations, and analyze empirical relationships among variables.
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research.
This book introduces the application of microeconometric methods for modelling various aspects of economic activity for small to large size enterprises, using methods that are based on both time-series and cross-section approaches.
Russia and America (1987) examines the divergence between two countries organised on diametrically opposed economic principles - one centrally-planned, state-dominated, the other a highly decentralised market economy, free from significant government intervention.
Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models.
For some seven decades, econometrics has been almost exclusiveley dealing with constructing and applying econometric equation systems, which constitute constraints in econometric optimization models.
It's estimated that 80 percent of an organization's data contains location attributes, but many don't understand how to unlock the potential of this data for their organizations to make better decisions.
Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models.
While women's cricket, and women's sport in general, has gained enormously in popularity in terms of both spectators and TV audiences, comparatively little is known about it and its participants, and there are few, if any, quantitative assessments of the game.
The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics.
This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.
Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world.
This brief responds to the criticism that mainstream economics is currently facing due to its heavy reliance on models and narrow range of quantitative research techniques.
This book assesses how efficient primary and upper primary education is across different states of India considering both output oriented and input oriented measures of technical efficiency.
The Libyan Oil Industry (1980) gives a narrative and analysis of the economic consequences of the discovery and production of oil in Libya, from the searches for oil by the major oil companies to the establishment of Libya as one of the main exporters in the world.
Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions.
Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas.
This book examines discrete dynamical systems with memory-nonlinear systems that exist extensively in biological organisms and financial and economic organizations, and time-delay systems that can be discretized into the memorized, discrete dynamical systems.
Economists broadly define financial asset price bubbles as episodes in which prices rise with notable rapidity and depart from historically established asset valuation multiples and relationships.
A modern and rigorous introduction to long-range dependence and self-similarity, complemented by numerous more specialized up-to-date topics in this research area.
International Applications of Productivity and Efficiency Analysis features a complete range of techniques utilized in frontier analysis, including extensions of existing techniques and the development of new techniques.
This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose.
Dieses Lehrbuch vermittelt anwendungsorientiert die Verfahren der Deskriptiven Statistik, wie sie in den Wirtschafts- und Sozialwissenschaften an Universitäten und Fachhochschulen gelehrt werden.
