Математика
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- Design and Analysis of Experiments, Volume 3. Special Designs and Applications
- Business Intelligence. Data Mining and Optimization for Decision Making
- Statistics for Compensation. A Practical Guide to Compensation Analysis
- The Ellipse. A Historical and Mathematical Journey
- Engineering Optimization. An Introduction with Metaheuristic Applications
- Introduction to Statistics Through Resampling Methods and R
- Revolutions of Geometry
- Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL
- Surveying Cultures. Discovering Shared Conceptions and Sentiments
- Empirical Model Building. Data, Models, and Reality
- Bayesian Methods for Structural Dynamics and Civil Engineering
- Forecasting in Financial and Sports Gambling Markets. Adaptive Drift Modeling
- The Mathematics of Infinity. A Guide to Great Ideas
- Analysis of Ordinal Categorical Data
- Quantitative Methods. An Introduction for Business Management
- Applied Survey Methods. A Statistical Perspective
- Decision Theory. Principles and Approaches
- Modelling Under Risk and Uncertainty. An Introduction to Statistical, Phenomenological and Computational Methods
- Spatial Statistics and Spatio-Temporal Data. Covariance Functions and Directional Properties
- Understanding Computational Bayesian Statistics
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Dispersion Decay and Scattering Theory
- Optimal Learning
- Statistical and Machine Learning Approaches for Network Analysis
- A Practical Guide to Data Mining for Business and Industry
- Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics
- A Career in Statistics. Beyond the Numbers
- Statistical Hypothesis Testing with SAS and R
- Spatial and Spatio-temporal Bayesian Models with R - INLA
- Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks
- The Topology of Chaos. Alice in Stretch and Squeezeland
- Applied Data Mining for Business and Industry
- Methods of Multivariate Analysis
- Statistical and Managerial Techniques for Six Sigma Methodology. Theory and Application
- Basic Statistics. A Primer for the Biomedical Sciences
- Making Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining
- Bayesian Networks. An Introduction
- Statistics for Spatio-Temporal Data
- Lower Previsions
- GARCH Models. Structure, Statistical Inference and Financial Applications
- Basic and Advanced Bayesian Structural Equation Modeling. With Applications in the Medical and Behavioral Sciences
- Spatio-temporal Design. Advances in Efficient Data Acquisition
- Discrete Fourier Analysis and Wavelets. Applications to Signal and Image Processing
- ARCH Models for Financial Applications
- Spatial Analysis Along Networks. Statistical and Computational Methods
- Statistics and Probability with Applications for Engineers and Scientists
- Handbook of Web Surveys
- Theory of Computational Complexity
Всего страниц: 134