Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years.
Medicine Price Surveys, Analyses and Comparisons establishes guidelines for the study and implementation of pharmaceutical price surveys, analyses, and comparisons.
The first collection of cases on "e;big data"e; analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker.
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way.
This book aims at providing an empirical understanding of the main drivers affecting investors' preferences in financing new ventures through equity crowdfunding (ECF) and determining fundraising campaign success.
Bringing together leading-edge research and innovative energy markets econometrics, this book collects the author's most important recent contributions in energy economics.
This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society.
THE GUIDE FOR ANYONE AFRAID TO LEARN STATISTICS & ANALYTICS UPDATED WITH NEW EXAMPLES & EXERCISES This book discusses statistics and analytics using plain language and avoiding mathematical jargon.
This book aims to fill the gap between panel data econometrics textbooks, and the latest development on 'big data', especially large-dimensional panel data econometrics.
Since the financial crisis, the issue of the 'one percent' has become the centre of intense public debate, unavoidable even for members of the elite themselves.
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications.
An Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB(R).
Introduction to Financial Mathematics: Option Valuation, Second Edition is a well-rounded primer to the mathematics and models used in the valuation of financial derivatives.
A comprehensive and integrated approach to economic forecasting problemsEconomic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes.
To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories.
