Haiyong Xie, Yale University This paper focuses on the Internet traffic control problem – how network applications (i.e., network resource consumers) efficiently and fairly utilize the network resources owned by network providers. This problem is pa
Karl Shell is without a doubt one of the central players in the development of economic theory and macroeconomics in the latter part of the twentieth century. He has made important contributions on topics ranging from growth theory, to overlapping g
The course is designed to introduce IT service systems in a variety of enterprise and service industry settings. The economics of service systems in the context of the firm, industry, US and world economy will be discussed. Students will learn about
UNSW MATH Times Series Textbook. 统计时间序列Geared to people involved in statistics, medicine, engineering, and economics, this book offers a basic introduction to time series analysis, providing a balanced and comprehensive treatment of time and frequen
Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descr iptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, al
Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether
神经网络在金融中的运用,英文原版,This book attempts to give a balanced critical review of these methods, accessible to students with a strong undergraduate exposure to statistics, econometrics, and intermediate economic theory courses based on calculus. It is inten
金融学中的计算方法:The inspiration for this book stemmed from the success of EvoFin 2007, the first EuropeanWorkshop on Evolutionary Computation in Finance and Economics, which was held as part of the EvoWorkshops at Evo* in Valencia, Spain in April 2007. Th
Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference Illuminating Statistical Analysis Using Scena
The future is always uncertain. But at some times, and now is one such time, the range of possible near-future events is enormous. The major source of this great uncertainty is economic policy. There is uncertainty about the way in which internation
Introduction This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing st
Traditional macroeconomic principles textbooks are theoretically based, and require students to apply definitions, analyze charts, graphs and tables, and use logic and reasoning skills to evaluate the effects of economic shocks or policy changes. Re
"Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data i
Stata is a general-purpose statistical software package created in 1985 by StataCorp. Most of its users work in research, especially in the fields of economics
This book presents innovative and interdisciplinary applications of advanced technologies. It includes the scientific outcomes of the 9th DAYS OF BHAAAS (Bosnian-Herzegovinian American Academy of Arts and Sciences) held in Banja Vrućica, Teslić, Bos
The speed and scale of this change are not abating. New developments are still being introduced and applied – and this creates a significant dividend for Australia and New Zealand. A report published by Deloitte Access Economics in 2015 estimated th