Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory.
Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form, called "e;ADAM"e; (Augmented Dynamic Adaptive Model).
This edited volume brings together some of the best papers from the 2022 Conference on Partial Least Squares Structural Equation Modeling (PLS-SEM), held at the Babes-Bolyai University, Cluj, Romania.
This edited volume brings together some of the best papers from the 2022 Conference on Partial Least Squares Structural Equation Modeling (PLS-SEM), held at the Babes-Bolyai University, Cluj, Romania.
Se ha dedicado en este texto, mucha reflexion a la seleccion, organizacion y presentacion de la materia, pensando en su exposicion en el aula de clase; pero no se ha intentado ofrecer un libro a la medida de ningun programa ni exactamente ajustado a un calendario.
In competitive manufacturing industries, organizations embrace product development as a continuous investment strategy since both market share and profit margin stand to benefit.
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions.
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions.
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
Dieses Buch führt in die angewandte Statistik für Agrarwissenschaften ein und unterstützt bei der Forschung in der Pflanzen- und Tierproduktion und im Feldversuchswesen.
Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time.
Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time.
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "e;tools"e; that make it mostly self-contained.
This unique book offers a unified approach to the modeling of rational decision-making under conditions of uncertainty and strategic and competitive interactions among agents.
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "e;tools"e; that make it mostly self-contained.
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
Dieses Buch führt in die angewandte Statistik für Agrarwissenschaften ein und unterstützt bei der Forschung in der Pflanzen- und Tierproduktion und im Feldversuchswesen.
Introduction to Stochastic Level Crossing Techniques describes stochastic models and their analysis using the System Point Level Crossing method (abbreviated SPLC or LC).
