Раздел: математика
Mathematical Statistics with Resampling and R
Common Errors in Statistics (and How to Avoid Them)
Common Errors in Statistics (and How to Avoid Them)
Design and Analysis of Experiments in the Health Sciences
Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics
Dynamical Systems Method and Applications. Theoretical Developments and Numerical Examples
Latent Class and Latent Transition Analysis. With Applications in the Social, Behavioral, and Health Sciences
Statistical and Machine Learning Approaches for Network Analysis
Statistical Pattern Recognition
Optimal Learning
Managerial Logic
Basic Statistics. A Primer for the Biomedical Sciences
Compositional Data Analysis. Theory and Applications
The Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness
Dispersion Decay and Scattering Theory
Probabilistic Search for Tracking Targets. Theory and Modern Applications
Statistical and Managerial Techniques for Six Sigma Methodology. Theory and Application
An Elementary Introduction to Statistical Learning Theory
Methods of Multivariate Analysis
Modeling Online Auctions
Clustering
Spatio-temporal Design. Advances in Efficient Data Acquisition
Log-Linear Modeling. Concepts, Interpretation, and Application
Effective Experimentation. For Scientists and Technologists
Jet Single-Time Lagrange Geometry and Its Applications
Applied Data Mining for Business and Industry
A First Course in Probability and Markov Chains
Basic and Advanced Bayesian Structural Equation Modeling. With Applications in the Medical and Behavioral Sciences
Understanding and Applying Research Design
Design and Analysis of Clinical Trials. Concepts and Methodologies
Spatial Analysis Along Networks. Statistical and Computational Methods
Statistics for Earth and Environmental Scientists
Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control
The Topology of Chaos. Alice in Stretch and Squeezeland
Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks
Spatial and Spatio-temporal Bayesian Models with R - INLA
Multi-criteria Decision Analysis. Methods and Software
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
A Practical Guide to Data Mining for Business and Industry
Statistical Hypothesis Testing with SAS and R
ARCH Models for Financial Applications
Combinatorial Reasoning. An Introduction to the Art of Counting
Theory of Computational Complexity
Handbook of Web Surveys
GARCH Models. Structure, Statistical Inference and Financial Applications
Bayesian Networks. An Introduction
Decision Theory. Principles and Approaches
Geostatistics. Modeling Spatial Uncertainty
Berechnungen in der Chemie und Verfahrenstechnik mit Excel und VBA
