Математика
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Applied Linear Regression
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Evolutionary Optimization Algorithms
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Time Series Analysis
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Simulation Modeling and Arena
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Beginning Partial Differential Equations
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Fundamentals of Actuarial Mathematics
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Probability and Stochastic Processes
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The Intelligent Enterprise in the Era of Big Data
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Matrix Algebra for Linear Models
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Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas
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Introduction to Stochastic Processes with R
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Basic Data Analysis for Time Series with R
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A First Course in Mathematical Logic and Set Theory
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Multivariate Nonparametric Regression and Visualization. With R and Applications to Finance
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Advances in DEA Theory and Applications. With Extensions to Forecasting Models
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An Introduction to SAGE Programming. With Applications to SAGE Interacts for Numerical Methods
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Spline Collocation Methods for Partial Differential Equations. With Applications in R
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Mathematical and Computational Modeling. With Applications in Natural and Social Sciences, Engineering, and the Arts
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Banking Systems Simulation. Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion
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Mixed Models. Theory and Applications with R
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The Data Industry. The Business and Economics of Information and Big Data
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Nonlinear Parameter Optimization Using R Tools
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Beyond Basic Statistics. Tips, Tricks, and Techniques Every Data Analyst Should Know
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Introduction to Probability and Statistics for Ecosystem Managers. Simulation and Resampling
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Elements of Random Walk and Diffusion Processes
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Probabilities. The Little Numbers That Rule Our Lives
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Time Series Analysis. Nonstationary and Noninvertible Distribution Theory
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Approaches to Geo-mathematical Modelling. New Tools for Complexity Science
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Business Risk Management. Models and Analysis
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First Hitting Time Regression Models. Lifetime Data Analysis Based on Underlying Stochastic Processes
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Optimierung in C++. Grundlagen und Algorithmen
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Markov Chains. From Theory to Implementation and Experimentation
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Data Mining Algorithms. Explained Using R
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Constraint Satisfaction Problems. CSP Formalisms and Techniques
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Global Dynamics. Approaches from Complexity Science
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Markov Chains. Analytic and Monte Carlo Computations
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Introductory Statistics and Analytics. A Resampling Perspective
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Principles of Mathematics. A Primer
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Clinical Trials. A Methodologic Perspective
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Introductory Modern Algebra. A Historical Approach
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Theory of Probability. A critical introductory treatment
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Combinatorics. An Introduction
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Bayesian Methods for Management and Business. Pragmatic Solutions for Real Problems
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Differential Equation Analysis in Biomedical Science and Engineering. Partial Differential Equation Applications with R
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Applied Mathematics for the Analysis of Biomedical Data. Models, Methods, and MATLAB
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Efficiency and Productivity Growth. Modelling in the Financial Services Industry
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Solutions Manual to Accompany Linear Algebra. Ideas and Applications
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Linear Algebra. Ideas and Applications
Всего страниц: 134