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Sustainable Statistical and Data Science Methods and Practices

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Cover of 'Sustainable Statistical and Data Science Methods and Practices'

Table of Contents

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    Book Overview
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    Chapter 1 Using Social Media and Network Services to Promote Statistical Collaboration Laboratories: A Case Study of LEA Brazil
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    Chapter 2 Renewable Energy Forecasting Using Deep Learning Models
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    Chapter 3 Exploring Feature Selection and Supervised Classification Algorithms for Predicting Obesity Among Rural Women for Policy Decisions
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    Chapter 4 Re-examining Inflation and Its Drivers in Nigeria: A Machine Learning Approach
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    Chapter 5 Estimating Relative Response Rates and Preferential Ranking of Subjects
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    Chapter 6 Wealth Creation and Poverty Alleviation in a Nigerian State: A Recent Evidence-Based Survey
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    Chapter 7 Effect of Statistics on Collaboration for Enhancing Institutional Sustainability: A Case of Mzumbe University-Tanzania
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    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)
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    Chapter 9 Advanced Mathematics and Computations for Innovation and Sustainability of Modern Statistics Laboratory
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    Chapter 10 A New Estimator for the GPD Parameters Under the POT Approach
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    Chapter 11 A Simple Yet Robust Estimation of Binned Data: Egypt Income Distribution and Geographical Inequality
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    Chapter 12 Exploring Practical Applications and Python Code Snippets for Supervised Machine Learning Classification Algorithms
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    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
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    Chapter 14 Predicting the Nature of Terrorist Attacks in Nigeria Using Bayesian Neural Network Model
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    Chapter 15 Salvage Value from Deterioration (SVD): An Optimal Inventory Model for Chicken Egg Marketing
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    Chapter 16 Structural Equation Modeling with Stata: Illustration Using a Population-Based, Nationally-Representative Dataset
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    Chapter 17 Time Series Forecasting of Seasonal Non-stationary Climate Data: A Comparative Study
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    Chapter 18 Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers: Application to Anaemia Diagnosis
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    Chapter 19 Machine Learning Approaches for Handling Imbalances in Health Data Classification
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    Chapter 20 The Intersection of Data and Statistics with Sustainable Development Goals
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    Chapter 21 Teaching Data Science in Africa Via Online Team-Based Learning
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Title
Sustainable Statistical and Data Science Methods and Practices
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-41352-0
ISBNs
978-3-03-141351-3, 978-3-03-141352-0
Editors

Awe, O. Olawale, Vance, Eric A.

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