#
Wiley series in probability and statistics
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The series ** Wiley series in probability and statistics** represents a set of related resources, especially of a specified kind, found in **European University Institute Library**.

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Wiley series in probability and statistics
Resource Information

The series

**Wiley series in probability and statistics**represents a set of related resources, especially of a specified kind, found in**European University Institute Library**.- Label
- Wiley series in probability and statistics

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- Time series analysis with long memory in view
- Wiley series in probability and statistics, 1345
- Wiley series in probability and statistics, Applied probability and statistics
- Wiley series in probability and statistics, Probability and statistics
- Wiley series in probability and statistics, Texts and references section
- A matrix handbook for statisticians
- Advanced analysis of variance
- Advanced statistics with applications in R
- An introduction to analysis of financial data with R
- An introduction to categorical data analysis
- An introduction to probability theory and statistics
- Analysis of financial time series
- Analysis of financial time series : financial econometrics
- Analysis of ordinal categorical data
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family
- Applied Bayesian modelling
- Applied econometric time series
- Applied multi-way data analysis
- Applied survival analysis : regression modeling of time-to-event data
- Approximate dynamic programming : solving the curses of dimensionality
- Approximation theorems of mathematical statistics
- Bayesian analysis for the social sciences
- Bayesian models for categorical data
- Bayesian networks : an introduction
- Bayesian statistical modelling
- Bayesian statistics and marketing
- Bias and causation : models and judgment for valid comparisons
- Causality : statistical perspectives and applications
- Comparison methods for stochastic models and risks
- Constrained statistical inference : inequality, order, and shape restrictions
- Contemporary Bayesian econometrics and statistics
- Continuous multivariate distributions
- Decision theory : principles and approaches
- Design and analysis of experiments
- Directional statistics
- Experiments : planning, analysis, and optimization
- Foundations of linear and generalized linear models
- Fundamental statistical inference : a computational approach
- Fundamentals of queueing theory
- Game-theoretic foundations for probability and finance
- Generalized, linear, and mixed models
- Handbook of regression analysis with applications in R
- Inference and prediction in large dimensions
- Introduction to linear regression analysis
- Introduction to time series analysis and forecasting
- Introductory stochastic analysis for finance and insurance
- Latent class and latent transition analysis : with applications in the social behavioral, and health sciences
- Linear models for unbalanced data
- Linear models in statistics
- Loss models : further topics
- Machine learning : a concise introduction
- Markov decision processes : discrete stochastic dynamic programming
- Matrix analysis for statistics
- Matrix differential calculus with applications in statistics and econometrics
- Measuring agreement : models, methods, and applications
- Meta analysis : a guide to calibrating and combining statistical evidence
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological, and computational methods
- Models for probability and statistical inference : theory and applications
- Multilevel statistical models
- Multivariate statistics : high-dimensional and large-sample approximations
- Multivariate time series analysis : with R and financial applications
- Multivariate time series analysis and applications
- Nonlinear time series analysis
- Nonparametric analysis of univariate heavy-tailed data : research and practice
- Nonparametric finance
- Nonparametric hypothesis testing : rank and permutation methods with applications in R
- Numerical issues in statistical computing for the social scientist
- Periodically correlated random sequences : spectral theory and practice
- Permutation tests for complex data : theory, applications and software
- Predictive analytics : parametric models for regression and classification using R
- Quantile regression : theory and applications
- Random data : analysis and measurement procedures
- Robust correlation : theory and applications
- Robust statistics
- Robust statistics : theory and methods
- Robust statistics : theory and methods (with R)
- Robustness theory and application
- Sample size determination and power
- Sampling
- Sensitivity analysis
- Simulation and the monte carlo method
- Statistical analysis with missing data
- Statistical analysis with missing data
- Statistical learning for big dependent data
- Statistical tolerance regions : theory, applications, and computation
- Statistics for experimenters : design, innovation, and discovery
- Statistics of extremes : theory and applications
- Stochastic processes for insurance and finance
- Structural equation modeling : a Bayesian approach
- Subjective and objective Bayesian statistics : principles, models, and applications
- Survey nonresponse
- The theory of measures and integration
- Time series : applications to finance with R and S-Plus
- Time series analysis : forecasting and control
- Time series analysis and forecasting by example

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