Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Artem (University of Sydney, Australia) Prokhorov
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Memory and Identity : Ghosts of the Past in the English-speaking World
Linda (Aix-Marseille Universite, France) Pilliere
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Mathematical Modelling with Differential Equations
Ronald E. (Clark Atlanta University, SW Atlanta, Georgia, USA Mickens
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Application of Big Data in Petroleum Streams
Jay (Pandit Deendayal Petroleum University, India) Gohil
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Interpretation of Algebraic Inequalities : Practical Engineering Optimisation and Generating New Knowledge
Michael (Oxford Brookes University, UK) Todinov
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GIS Automated Delineation of Hospital Service Areas
Fahui (Louisiana State University, Baton Rouge, USA) Wang
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Diffusion Processes, Jump Processes, and Stochastic Differential Equations
Wojbor A. (Case Western Reserve University, Cleveland, Ohi Woyczynski
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Introduction To Linear Algebra : Computation, Application, and Theory
Mark J. (Manhattan College, USA) DeBonis
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Introduction to Python : With Applications in Optimization, Image and Video Processing, and Machine Learning
David Baez-Lopez
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A Geometrical Approach to Physics
David A. Burton
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Uncertainty Quantification in Variational Inequalities : Theory, Numerics, and Applications
Joachim Gwinner
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Fuzzy Statistical Inferences Based on Fuzzy Random Variables
Gholamreza (Payame Noor University (Shahrekourd), Iran) Hesamian
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Water in the Making of a Socio-Natural Landscape : Rome and Its Surroundings, 1870–1922
Salvatore Valenti
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Boolean Networks as Predictive Models of Emergent Biological Behaviors
Jordan C. (Binghamton University, State University of New York) Rozum
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Mathematical Rigour and Informal Proof
Fenner (Loughborough University) Stanley Tanswell
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Solved Problems and Systematic Introduction to Special Relativity
Michael Tsamparlis
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Loop Quantum Gravity for the Bewildered : The Self-Dual Approach Revisited
Sundance Bilson-Thompson
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Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023
Oliver Niggemann
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How to Solve Real-world Optimization Problems : From Theory to Practice
Eugene J. Zak
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Manifold Learning : Model Reduction in Engineering
David Ryckelynck
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Asymptotische Stochastik: Eine Einfuhrung mit Blick auf die Statistik
Norbert Henze
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Applications in Reliability and Statistical Computing
Hoang Pham
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
Xiaoli Luan
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