Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
Автор: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.
Название: Network Models in Economics and Finance ISBN: 3319096826 ISBN-13(EAN): 9783319096827 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena.
Автор: Gian Italo Bischi; Carl Chiarella; Iryna Sushko Название: Global Analysis of Dynamic Models in Economics and Finance ISBN: 364242676X ISBN-13(EAN): 9783642426766 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploring cutting-edge analysis methods for dynamic models in economics, finance and the social sciences, this collection celebrates the remarkable academic Laura Gardini. It includes material relevant to asset pricing, subsidy games and economic geography.
Автор: Miranda, Mario J. Название: Applied Computational Economics and Finance ISBN: 0262134209 ISBN-13(EAN): 9780262134200 Издательство: MIT Press Рейтинг: Цена: 6809.00 р. Наличие на складе: Нет в наличии.
Описание: This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasises practical numerical methods
rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and
finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance.
The book's Web site provides an extensive Web-site
library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation
methods, complementarity methods, finite-dimensional optimisation, numerical integration and differentiation, and function approximation.
The second part presents methods for
solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The
book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications. The book's Web site can be
found at .
Описание: This monograph focuses on exploring game theoretic modeling and mechanism design for problem solving in Internet and network economics. For the first time, the main theoretical issues and applications of mechanism design are bound together in a single text.
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