4 edition of Introduction to quantitative methods in economics found in the catalog.
Introduction to quantitative methods in economics
James, D. E.
Bibliography: p. -328.
|Statement||[by] D. E. James [and] C. D. Throsby.|
|Contributions||Throsby, C. D., joint author.|
|LC Classifications||HB135 .J35|
|The Physical Object|
|Pagination||xv, 335 p.|
|Number of Pages||335|
|ISBN 10||0471439177, 0471439185|
|LC Control Number||73091783|
PAOLO BRANDIMARTE is Professor of Quantitative Methods for Finance and Logistics at Politecnico di Torino in Italy. He is the author of several publications, including five books, on the application of optimization and simulation to diverse areas such as production This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis ://
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Vikram Dayal is a Professor at the Institute of Economic Growth, Delhi. He has been using the R software in teaching quantitative economics to diverse audiences, and is the author of the Springer Brief titled An Introduction to R for Quantitative Economics: Graphing, Simulating and has published research on a range of environmental and developmental issues, from outdoor and indoor › Mathematics › Applications. Swaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative tools and methods. This book serves as an introduction to › Mathematics › Applications.
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Introduction to Quantitative Methods Parina Patel Octo Contents 1 De nition of Key Terms 2 An interval variable has quantitative values (or numbers). Some examples of interval variables include AGE (in years), NUMBER OF SHARES OUTSTANDING, and AMOUNT IN DEBT (in dollars).
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