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Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics
The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers find appealing. The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.
Advances in Computational Intelligence
This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications
Modelling Experiences of the COVID-19 Pandemic in Ibero-America
This book analyses the threats the COVID-19 pandemic poses and the need for managing healthcare resources carefully. Focusing on the impact Lower and middle-income countries experience due to the lack of medical personal, bed in hospitals and medical supplies. In the chapters, non-medical researchers together with epidemiologists contribute studies which aim to improve decision making processes when dealing with pandemic dynamics. The book also presents challenging models for post-pandemic studies and the continuation of post-pandemic treatments. This text develops an analysis of COVID-19 data and provides evidence on the increase of social inequalities with Latin American countries, and particularly on the effect of a new medicament in improving the quality of life of recovered patients with lung damage. This book would be of interest to all medical researchers and academics interested in the effects of both the pandemic and post pandemic fallout.
Working Across Cultures
A guide to adapting and thriving within unfamiliar cultural settings challenges the notion that professional life interacts with culture only at the etiquette level, distinguishing between rule-based and relationship-based cultures while considering the roles of such factors as competition, security, and lifestyle. (Social Science)
Trillion Dollar Economists
A detailed look at how economists shaped the world, and how the legacy continues Trillion Dollar Economists explores the prize-winning ideas that have shaped business decisions, business models, and government policies, expanding the popular idea of the economist's role from one of forecaster to one of innovator. Written by the former Director of Economic Research at Bloomberg Government, the Kauffman Foundation and the Brookings Institution, this book describes the ways in which economists have helped shape the world – in some cases, dramatically enough to be recognized with a Nobel Prize or Clark Medal. Detailed discussion of how economists think about the world and the pace of future in...
Financial Modeling
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Ranked Set Sampling Models and Methods
When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS that can be further explored and discussed. On top of being efficient, RSS is cost-efficient and can be used in situations where sample units are difficult to obtain. With new results in modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research. Ranked Set Sampling Models and...
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