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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 **University of San Diego Libraries**.

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Wiley series in probability and statistics
Resource Information

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**Wiley series in probability and statistics**represents a set of related resources, especially of a specified kind, found in**University of San Diego Libraries**.- Label
- Wiley series in probability and statistics

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- Wiley series in probability and statistics, 794
- 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 primer on experiments with mixtures
- Advanced analysis of variance
- An elementary introduction to statistical learning theory
- An introduction to analysis of financial data with R
- An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics
- An introduction to probability and statistics
- Applied Bayesian modelling
- Applied linear regression
- Applied logistic regression
- Applied regression analysis
- Approximate dynamic programming : solving the curses of dimensionality
- Basic and advanced structural equation modeling : with applications in the medical and behavioral sciences
- Bayesian analysis of stochastic process models
- Biostatistical methods : the assessment of relative risks
- Categorical data analysis
- Categorical data analysis
- Causality : statistical perspectives and applications
- Clinical trial design : Bayesian and frequentist adaptive methods
- Correspondence analysis : theory, practice and new strategies
- Design and analysis of experiments, Volume 3, Special designs and applications
- Foundations of linear and generalized linear models
- Game-theoretic foundations for probability and finance
- Geometry driven statistics
- Information and exponential families : in statistical theory
- Introduction to imprecise probabilities
- Introduction to linear regression analysis
- Introduction to time series analysis and forecasting
- Latent variable models and factor analysis : a unified approach
- Linear models
- Lower previsions
- Markov chains : analytic and Monte Carlo computations
- Markov processes and applications : algorithms, networks, genome and finance
- Matrix analysis for statistics
- Matrix differential calculus with applications in statistics and econometrics
- Measuring agreement : models, methods, and applications
- Methodological developments in data linkage
- Methods of multivariate analysis
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
- Multistate systems reliability theory with applications
- Multivariate density estimation : theory, practice, and visualization
- Nonparametric finance
- Nonparametric hypothesis testing : rank and permutation methods with applications in R
- Optimal learning
- Probability and conditional expectation : fundamentals for the empirical sciences
- Randomization in clinical trials : theory and practice
- Regression analysis by example
- Reinsurance : actuarial and statistical aspects
- Response surface methodology : process and product optimization using designed experiments
- Robust correlation : theory and applications
- Robust statistics : theory and methods (with R)
- Simulation and the Monte Carlo method
- Spatial statistics and spatio-temporal data : covariance functions and directional properties
- Statistical advances in the biomedical sciences : clinical trials, epidemiology, survival analysis, and bioinformatics
- Statistical analysis of profile monitoring
- Statistical inference for fractional diffusion processes
- Statistical intervals : a guide for practitioners and researchers
- Statistical methods in diagnostic medicine
- Statistical shape analysis : with applications in R
- Statistics and causality : methods for applied empirical research
- Statistics for spatial data
- Structural equations with latent variables
- The statistical analysis of failure time data
- Theoretical foundations of functional data analysis, with an introduction to linear operations
- Theory of probability : a critical introductory treatment
- Time series analysis
- Time series analysis : forecasting and control
- Time series analysis : nonstationary and noninvertible distribution theory

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.sandiego.edu/resource/0JxnZ3HxeEY/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sandiego.edu/resource/0JxnZ3HxeEY/">Wiley series in probability and statistics</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sandiego.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.sandiego.edu/">University of San Diego Libraries</a></span></span></span></span></div>`