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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.
Ranked Set Sampling
Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs. - Focuses on how researchers should manipulate RSS techniques for specific applications - Discusses RSS performs in popular statistical models, such as regression and hypothesis testing - Includes a discussion of open theoretical research problems - Provides mathematical proofs, enabling researchers to develop new models
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...
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)
Mathematical Reviews
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Kybernetika
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Qüestiió
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Approximation and Optimization in the Caribbean II
The volume contains original articles and survey papers on approximation theory (e.g. approximation by polynomial and rational functions, approximation by operators, orthogonal polynomials, meromorphic functions), optimization (e.g. integer, nonlinear, quadratic, multi-objective, fractional, semi-infinite), control theory (e.g. singular control problems), equations and inequalities (e.g. complexity), mathematical economy (e.g. core theory, infinite horizon economics), and shows the relations among these topics.
