Раздел: математика
Introduction to Stochastic Analysis. Integrals and Differential Equations
Bayesian Statistics. An Introduction
Digital Spectral Analysis. Parametric, Non-Parametric and Advanced Methods
Approximate Dynamic Programming. Solving the Curses of Dimensionality
Bayesian Methods for Structural Dynamics and Civil Engineering
Cross Section and Experimental Data Analysis Using EViews
Biostatistical Methods. The Assessment of Relative Risks
Der perfekte Tipp. Statistik des Fu?ballspiels
Visual Data Mining. The VisMiner Approach
Risk Assessment. Theory, Methods, and Applications
An Introduction to Critical Thinking and Creativity. Think More, Think Better
Fourier Series and Numerical Methods for Partial Differential Equations
Statistical Inference for Fractional Diffusion Processes
A Primer on Experiments with Mixtures
Multistate Systems Reliability Theory with Applications
Fractal Geometry. Mathematical Foundations and Applications
Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL
Survival Analysis. Models and Applications
Causality in a Social World. Moderation, Mediation and Spill-over
Differential Equation Analysis in Biomedical Science and Engineering. Ordinary Differential Equation Applications with R
Paradigms of Combinatorial Optimization. Problems and New Approaches
Paradigms of Combinatorial Optimization. Problems and New Approaches, Volume 2
Design and Analysis of Experiments, Volume 3. Special Designs and Applications
The Analysis of Covariance and Alternatives. Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
How to be a Quantitative Ecologist. The 'A to R' of Green Mathematics and Statistics
Shifting the Earth. The Mathematical Quest to Understand the Motion of the Universe
Markov Chains. Theory and Applications
Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB
The Language of Mathematics. Utilizing Math in Practice
Data Analysis. What Can Be Learned From the Past 50 Years
The Elements of Cantor Sets. With Applications
Analysis of Ordinal Categorical Data
Analysis of Financial Time Series
Bayesian Analysis for the Social Sciences
Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
Statistical Methods for Fuzzy Data
Bayesian Modeling Using WinBUGS
Understanding Computational Bayesian Statistics
Fundamentals of Actuarial Mathematics
Revolutions of Geometry
Misconceptions of Risk
Multilevel Statistical Models
Service Science
Financial Risk Modelling and Portfolio Optimization with R
Discrete Event Systems in Dioid Algebra and Conventional Algebra
Understanding Educational Statistics Using Microsoft Excel and SPSS
Guidebook to R Graphics Using Microsoft Windows
The Visualization of Spatial Social Structure
Six Sigma Quality Improvement with Minitab
