Recent Advances in Industrial and Applied Mathematics
Tomas Chacon Rebollo
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Algorithmic Decision Making with Python Resources : From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs
Raymond Bisdorff
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Stationary Processes and Discrete Parameter Markov Processes
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Bayes Factors for Forensic Decision Analyses with R
Silvia Bozza
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Models for Data Analysis : SIS 2018, Palermo, Italy, June 20-22
Eugenio Brentari
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Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes
Stefano M. Iacus
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Independent Random Sampling Methods
Luca Martino
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Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
Richard S. Segall
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Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
Richard S. Segall
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Bootstrapping : An Integrated Approach with Python and Stata
Felix Bittmann
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Core Data Analysis: Summarization, Correlation, and Visualization
Boris Mirkin
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Analyzing Qualitative Data with Maxqda : Text, Audio, and Video
Udo Kuckartz
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Excel 2019 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems
Thomas J. Quirk
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A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R
Domingo Morales
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Luminescence : Data Analysis and Modeling Using R
Vasilis Pagonis
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Pyomo - Optimization Modeling in Python
Michael L. Bynum
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Solving Nonlinear Partial Differential Equations with Maple and Mathematica
Inna Shingareva
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Simply Turing
Michael Olinick
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Elementary Vector Calculus and Its Applications with MATLAB Programming
Nita H. Shah
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Statistics Applied With Excel : Data Analysis Is (Not) an Art
Franz Kronthaler
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Examples in Parametric Inference with R
Ulhas Jayram Dixit
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Statistics and Analysis of Scientific Data
Massimiliano Bonamente
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Getting Started in Mathematical Life Sciences : From MATLAB Programming to Computer Simulations
Makoto Sato
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Learning R for Geospatial Analysis
Michael Dorman
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