Elements of Numerical Mathematical Economics with Excel

Elements of Numerical Mathematical Economics with Excel

Author: Giovanni Romeo

Publisher: Academic Press

Published: 2019-11-28

Total Pages: 816

ISBN-13: 0128176490

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Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel. After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis. Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework. Explains how Excel provides a practical numerical approach to optimization theory and analytics Increases access to the economic applications of this universally-available, relatively simple software program Encourages readers to go to the core of theoretical continuous calculations and learn more about optimization processes


Air Quality Monitoring and Advanced Bayesian Modeling

Air Quality Monitoring and Advanced Bayesian Modeling

Author: Yongjie Li

Publisher: Elsevier

Published: 2023-01-14

Total Pages: 324

ISBN-13: 0323902677

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Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models. Covers fundamental to advanced applications of urban air quality monitoring and forecasting Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques Presents case studies throughout to provide real-world context to the research presented in the book


Mathematical Economics

Mathematical Economics

Author: Kelvin Lancaster

Publisher: Courier Corporation

Published: 2012-10-10

Total Pages: 450

ISBN-13: 0486145042

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Graduate-level text provides complete and rigorous expositions of economic models analyzed primarily from the point of view of their mathematical properties, followed by relevant mathematical reviews. Part I covers optimizing theory; Parts II and III survey static and dynamic economic models; and Part IV contains the mathematical reviews, which range fromn linear algebra to point-to-set mappings.


Mathematics for Economic Analysis

Mathematics for Economic Analysis

Author: Knut Sydsæter

Publisher: Pearson

Published: 1995

Total Pages: 1026

ISBN-13:

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For sophomore-level and above courses in Mathematical Methods, Mathematics for Economists. An introduction to those parts of mathematical analysis and linear algebra which are most important for economists.


Practical Numerical Analysis Using Microsoft Excel

Practical Numerical Analysis Using Microsoft Excel

Author: A. Nandy

Publisher: Alpha Science Int'l Ltd.

Published: 2004

Total Pages: 308

ISBN-13: 9781842651674

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This text presents numerical analysis in an easy and lucid manner requiring no prior knowledge of computer programming or intricacies of mathematics using MS-EXCEL 2000 through built in functions of MS-Excel depicting with ease various analysis. The analysis used can also be done using earlier versions of MS-Excel. The majority of numerical analysis needs fall into the curve fitting, interpolation, solutions of equations, integration methods. For these Excel's features provide a very easy and inexpensive way to get the job done.