Platform Supply Chains 2
Statistical Theories and Applications
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Beschreibung
This open access book delves into methodologies for addressing prevalent statistical problems in supply chains—including prediction with multi-source data, density response prediction and ranking problems—leveraging model averaging techniques and numerical experiments. Its innovation lies in addressing uncertainty in model design and variable selection by integrating multiple viable candidate models instead of relying on a single one, while enhancing model performance through tailored model-averaging weight criteria.
The intended readership of this book includes undergraduate students in universities, graduates, and academic researchers in the field of management science, data science and statistics. This book is suitable for those with a master's degree or above in management science or statistics.
This open access book delves into methodologies for addressing prevalent statistical problems in supply chains—including prediction with multi-source data, density response prediction and ranking problems—leveraging model averaging techniques and numerical experiments. Its innovation lies in addressing uncertainty in model design and variable selection by integrating multiple viable candidate models instead of relying on a single one, while enhancing model performance through tailored model-averaging weight criteria.
The intended readership of this book includes undergraduate students in universities, graduates, and academic researchers in the field of management science, data science and statistics. This book is suitable for those with a master's degree or above in management science or statistics.
This book is open access, which means that you have free and unlimited access Summarizes cutting-edge research on applying model averaging technology to data analysis in the context of supply chains Focuses on diverse prediction tasks—including multi-source data, density response and ranking prediction Structured from a data science perspective, this book highlights a range of approaches for analyzing supply chain data
Autor*in
Jiahui Zou
Themen in »Platform Supply Chains 2«
Open Access Model Averaging Transfer Learning Model Uncertainty Multi-source Data Data Fusion