Зображення обкладинки

Sustainable Statistical and Data Science Methods and Practices Reports from LISA 2020 Global Network, Ghana, 2022 /

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...

Повний опис

Збережено в:
Бібліографічні деталі
Співавтор: SpringerLink (Online service)
Інші автори: Awe, O. Olawale (Редактор), Vance, Eric A. (Редактор)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Редагування:1st ed. 2023.
Серія:STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health,
Предмети:
Artificial intelligence > Data processing.
Data mining.
Machine learning.
Data Science.
Data Mining and Knowledge Discovery.
Statistical Learning.
Онлайн доступ:https://doi.org/10.1007/978-3-031-41352-0
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
Зміст:
  • Chapter. 1. Using social media and network services to promote statistical collaboration laboratories: A case study of LEA Brazil
  • Chapter. 2. Renewable Energy Forecasting Using Deep Learning Models
  • Chapter. 3. Exploring feature selection and supervised classification algorithms for predicting Obesity among rural women for policy decisions
  • Chapter. 4. Re-examining Inflation and its drivers in Nigeria: A machine learning approach
  • Chapter. 5. Estimating Relative Response Rates and Preferential Ranking of Subjects
  • Chapter. 6. Wealth Creation and Poverty Alleviation in a Nigerian State: A Recent Evidence-Based Survey
  • Chapter. 7. Effect of Statistics on Collaboration for Enhancing Institutional Sustainability: A Case of Mzumbe University-Tanzania
  • Chapter. 8. Strategies for the Sustainability of Stat Labs: A Case Study of Laboratory of Interdisciplinary Statistical Analysis, Lahore College for Women University Lahore, Pakistan (LISA-LCWU)
  • Chapter. 9. Advanced Mathematics and Computations for Innovation and Sustainability of Modern Statistics Laboratory
  • Chapter. 10. A New Estimator for the GPD Parameters under the POT Approach
  • Chapter. 11. A simple yet Robust Estimation of binned data: Egypt Income distribution and Geographical Inequality
  • Chapter. 12. Supervised Machine Learning Classification Algorithms: Some Applications and Code Snippets for Practical Implementations in Python Programming
  • Chapter. 13. Exploring the spatial variability and different determinants of co-existence of under-nutritional status among children in India through a Bayesian geo-additive multinomial regression model
  • Chapter. 14. Predicting the Nature of Terrorist Attacks in Nigeria Using Bayesian Neural Network Model
  • Chapter. 15. Salvage Value from Deterioration (SVD): An Optimal Inventory Model for Chicken Egg Marketing
  • Chapter. 16. Structural Equation Modeling with Stata: Illustration using a Population-Based, Nationally-Representative Dataset
  • Chapter. 17. Time series forecasting of seasonal non-stationary climate data: A comparative study
  • Chapter. 18. Weighted Hard and Soft Voting Ensemble Machine Learning CLASIFIERS: Application to Anaemia Diagnosis
  • Chapter 19. Machine Learning Approaches for Handling Imbalances in Health Data Classification
  • Chapter. 20. The Intersection of Data and Statistics with Sustainable Development Goals
  • Chapter. 21. Teaching Data Science in Africa via Online Team-Based Learning.

Схожі ресурси