Математика
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- Statistical Implications of Turing's Formula
- Numerical Methods for Inverse Problems
- Discrete q-Distributions
- Behavioral Computational Social Science
- Microeconometrics in Business Management
- The Data Science Handbook
- A Signal Theoretic Introduction to Random Processes
- Effective CRM using Predictive Analytics
- Space Strategy
- Matrix Analysis for Statistics
- Applications of Combinatorial Optimization
- Introduction to Topology and Geometry
- Social Systems Engineering. The Design of Complexity
- Register-based Statistics. Statistical Methods for Administrative Data
- Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications
- Fundamentals of Matrix Analysis with Applications
- Matrix Algebra Useful for Statistics
- Introduction to Bayesian Estimation and Copula Models of Dependence
- An Introduction to Probability and Statistics
- Systems with Delays. Analysis, Control, and Computations
- Reliability of Engineering Systems and Technological Risk
- Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences
- Method of Lines PDE Analysis in Biomedical Science and Engineering
- Numerical Methods for Ordinary Differential Equations
- An Introduction to the Early Development of Mathematics
- Mathematical Foundations for Linear Circuits and Systems in Engineering
- The How and Why of One Variable Calculus
- Introduction to Computation and Modeling for Differential Equations
- Fundamentals of Statistical Experimental Design and Analysis
- Modeling and Simulation Support for System of Systems Engineering Applications
- Solutions Manual to Accompany Beginning Partial Differential Equations
- Weight-of-Evidence for Forensic DNA Profiles
- Financial Risk Modelling and Portfolio Optimization with R
- Presenting Data: How to Communicate Your Message Effectively
- Analysis of Poverty Data by Small Area Estimation
- Foundations of Linear and Generalized Linear Models
- Applied Univariate, Bivariate, and Multivariate Statistics
- High-Dimensional Covariance Estimation. With High-Dimensional Data
- Probability. With Applications and R
- Multivariate Density Estimation. Theory, Practice, and Visualization
- i-Smooth Analysis. Theory and Applications
- Growth Curve Modeling. Theory and Applications
- Continuum Mechanics. The Birthplace of Mathematical Models
- The Fitness of Information. Quantitative Assessments of Critical Evidence
- Kernel Smoothing. Principles, Methods and Applications
- Fourier Transforms. Principles and Applications
- Understanding Uncertainty
- Applied Bayesian Modelling
Всего страниц: 134