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Sustainable Statistical and Data Science Methods and Practices - Reports from LISA 2020 Global Network, Ghana, 2022 (1st ed.... Sustainable Statistical and Data Science Methods and Practices - Reports from LISA 2020 Global Network, Ghana, 2022 (1st ed. 2023)
O. Olawale Awe, Eric A. Vance
R4,933 Discovery Miles 49 330 Ships in 12 - 19 working days

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Program aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.

Promoting Statistical Practice and Collaboration in Developing Countries (Hardcover): O. Olawale Awe, Kim Love, Eric A. Vance Promoting Statistical Practice and Collaboration in Developing Countries (Hardcover)
O. Olawale Awe, Kim Love, Eric A. Vance
R3,636 Discovery Miles 36 360 Ships in 12 - 19 working days

* Reference point on statistical practice in developing countries for researchers, scholars, students and practitioners. * Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics. * Collection of innovative statistical teaching and learning techniques in developing countries

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