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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 **Missouri University of Science & Technology Library**.

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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**Missouri University of Science & Technology Library**.- Label
- Wiley series in probability and statistics

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- Wiley series in probability and statistics, 755
- Wiley series in probability and statistics, 794
- Wiley series in probability and statistics, Applied probability and statistics
- Wiley series in probability and statistics, Applied probability and statistics, 1346
- Wiley series in probability and statistics, Financial engineering section
- Wiley series in probability and statistics, Probability and statistics
- Wiley series in probability and statistics, Texts and references section
- Wiley series in probability and statistics, Texts, references, and pocketbooks section
- A primer on experiments with mixtures
- Advanced statistics with applications in R
- An introduction to analysis of financial data with R
- An introduction to multivariate statistical analysis
- An introduction to probability and statistics
- Analysis of financial time series
- Analysis of financial time series
- Analysis of ordinal categorical data
- Analyzing and modeling spatial and temporal dynamics of infectious diseases
- Applied Bayesian modelling
- Applied Logistic Regression
- Applied linear regression
- Applied logistic regression
- Applied spatial statistics for public health data
- Applied spatial statistics for public health data
- Applied survival analysis : regression modeling of time-to-event data
- Approximate dynamic programming : solving the curses of dimensionality
- Aspects of multivariate statistical theory
- Bayesian Statistics and Marketing
- Bayesian analysis of stochastic process models
- Bias and causation : models and judgment for valid comparisons
- Biostatistical Methods : the Assessment of Relative Risks
- Biostatistics : a foundation for analysis in the health sciences
- Bootstrap methods : a guide for practitioners and researchers
- Case studies in Bayesian statistical modelling and analysis
- Case studies in reliability and maintenance
- Categorical data analysis
- Causality : statistical perspectives and applications
- Clinical trial design : Bayesian and frequentist adaptive methods
- Clinical trials : a methodologic perspective
- Cluster analysis
- Data analysis : what can be learned from the past 50 years
- Design and Analysis of Experiments , Volume 3, Special Designs and Applications
- Empirical model building : data, models, and reality
- Examples and problems in mathematical statistics
- Experiments : planning, analysis, and optimization
- Experiments with mixtures : designs, models, and the analysis of mixture data
- Exploration and analysis of DNA microarray and other high-dimensional data
- Game-theoretic foundations for probability and finance
- Generalized linear models : with applications in engineering and the sciences
- Handbook of regression analysis with applications in R
- Image processing and jump regression analysis
- Improving almost anything : ideas and essays
- Information and Exponential Families in Statistical Theory
- Introduction to imprecise probabilities
- Introduction to linear regression analysis
- Introduction to time series analysis and forecasting
- Introductory stochastic analysis for finance and insurance
- Latent variable models and factor analysis : a unified approach
- Loss models : further topics
- Markov Processes and Applications : Algorithms, Networks, Genome and Finance
- Markov chains : analytic and Monte Carlo computations
- Matrix algebra useful for statistics
- 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 and applications of linear models : regression and the analysis of variance
- Methods of multivariate analysis
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
- Modern Methods to Covariance Estimation : With High-Dimensional Data
- Multistate Systems Reliability Theory with Applications
- Multivariate Density Estimation : Theory, Practice, and Visualization
- Multivariate time series analysis : with R and financial applications
- Multivariate time series analysis and applications
- Nonparametric finance
- Nonparametric hypothesis testing : rank and permutation methods with applications in R
- Nonparametric statistical methods
- Optimal learning
- Predictive analytics : parametric models for regression and classification using R
- Preparing for the worst : incorporating downside risk in stock market investments
- Probability and conditional expectation : fundamentals for the empirical sciences
- Probability and statistical inference
- Quantile regression : theory and applications
- Randomization in clinical trials : theory and practice
- Regression Analysis by Example
- Reinsurance : actuarial and statistical aspects
- Reliability and risk : a Bayesian perspective
- Response surface methodology : process and product optimization using designed experiments
- Response surface methodology : process and product optimization using designed experiments
- Robust Correlation : Theory and Applications
- Robust methods in biostatistics
- Sensitivity analysis
- Simulation and the Monte Carlo Method
- Simulation and the monte carlo method
- Smoothing of multivariate data : density estimation and visualization
- 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 analysis with missing data
- Statistical design and analysis of experiments : with applications to engineering and science
- Statistical methods for quality improvement
- Statistical methods for survival data analysis
- Statistical methods in diagnostic medicine
- Statistical shape analysis with applications in R
- Statistics : principles and methods
- Statistics and causality : methods for applied empirical research
- Statistics for experimenters : design, innovation, and discovery
- Statistics for spatial data
- Statistics for spatio-temporal data
- Stochastic Geometry and Its Applications
- Structural Equations with Latent Variables
- Structural equation modeling with Mplus : methods and applications
- The Analysis of Covariance and Alternatives : Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
- The fitness of information : quantitative assessments of critical evidence
- Theoretical foundations of functional data analysis, with an introduction to linear operations
- Theory of probability : a critical introductory treatment
- Theory of ridge regression estimation with applications
- Time series analysis
- Time series analysis : forecasting and control
- Time series analysis : forecasting and control
- Time series analysis : forecasting and control
- Time series analysis : nonstationary and noninvertible distribution theory
- Understanding uncertainty
- Understanding uncertainty
- Variance components

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