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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 Missouri 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 Missouri Libraries**.- Label
- Wiley series in probability and statistics

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- Wiley series in probability and statistics, 755
- 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, Biostatistics section
- Wiley series in probability and statistics, Financial engineering section
- Wiley series in probability and statistics, Probability and statistics
- Wiley series in probability and statistics, Survey methodology section
- Wiley series in probability and statistics, Texts and references section
- A matrix handbook for statisticians
- A primer on experiments with mixtures
- A step-by-step approach to using SAS for univariate & multivariate statistics
- Advanced calculus with applications in statistics
- Advances in biometry : 50 years of the International Biometric Society
- An introduction to categorical data analysis
- An introduction to multivariate statistical analysis
- Analysis of financial time series
- Analysis of financial time series
- Analysis of ordinal categorical data
- Analyzing microarray gene expression data
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family
- Applied Bayesian modelling
- Applied Bayesian modelling
- Applied Bayesian modelling
- Applied MANOVA and discriminant analysis
- Applied linear regression
- Applied linear regression
- Applied linear regression
- Applied logistic regression
- Applied logistic regression.
- Applied longitudinal analysis
- Applied longitudinal analysis
- Applied multiway data analysis
- Applied spatial statistics for public health data
- Applied statistics : analysis of variance and regression
- Applied survival analysis : regression modeling of time-to-event data
- Approximate dynamic programming : solving the curses of dimensionality
- Approximate dynamic programming : solving the curses of dimensionality
- Aspects of multivariate statistical theory
- Assessment : problems, developments, and statistical issues : a volume of expert contributions
- Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioral sciences
- Bayesian analysis for the social sciences
- Bayesian analysis of stochastic process models
- Bayesian analysis of stochastic process models
- Bayesian analysis of stochastic process models
- Bayesian models for categorical data
- Bayesian statistical modelling
- Bias and causation : models and judgment for valid comparisons
- Biostatistical methods : the assessment of relative risks
- Biostatistics : a Bayesian introduction
- Biostatistics : a foundation for analysis in the health sciences
- Case studies in Bayesian statistical modelling and analysis
- Case studies in Bayesian statistical modelling and analysis
- Case studies in reliability and maintenance
- Categorical data analysis
- Clinical trials : a methodologic perspective
- Cluster Analysis
- Cluster analysis
- Combinatorial methods in discrete distributions
- Comparison methods for stochastic models and risks
- Computational statistics
- Constrained statistical inference : inequality, order, and shape restrictions
- Correspondence analysis : theory, practice and new strategies
- Counting processes and survival analysis
- Data analysis : what can be learned from the past 50 years
- Decision theory : principles and approaches
- Decision theory : principles and approaches
- Design and analysis of clinical trials : concepts and methodologies
- Design and analysis of clinical trials : concepts and methodologies
- Design and analysis of experiments
- Dirichlet and Related Distributions : Theory, Methods and Applications
- Discriminant analysis and statistical pattern recognition
- Empirical model building : data, models, and reality
- Environmental statistics : methods and applications
- Epidemiological research methods
- Ergodicity and stability of stochastic processes
- 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 protein array data
- Extreme value and related models with applications in engineering and science
- Financial derivatives in theory and practice
- Foundations of linear and generalized linear models
- Foundations of time series analysis and prediction theory
- Fundamentals of queueing theory
- Game-theoretic foundations for probability and finance
- Generalized inference in repeated measures : Exact methods in MANOVA and mixed models
- Generalized least squares
- Generalized, linear, and mixed models
- Geostatistics : modeling spatial uncertainty
- Image processing and jump regression analysis
- Improving almost anything : ideas and essays
- Inference and prediction in large dimensions
- Introduction to imprecise probabilities
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to nonparametric regression
- Introduction to time series analysis and forecasting
- Introduction to time series analysis and forecasting
- Introductory stochastic analysis for finance and insurance
- Introductory stochastic analysis for finance and insurance
- Latent curve models : a structural equation perspective
- Latent variable models and factor analysis : a unified approach
- Limit theorems in change-point analysis
- Linear model theory : univariate, multivariate, and mixed models
- Linear models : the theory and application of analysis of variance
- Linear statistical models
- Long-memory time series : theory and methods
- Longitudinal data analysis
- Lower previsions
- LÃ©vy processes in finance : pricing financial derivatives
- Management of data in clinical trials
- Markov chains : analytic and Monte Carlo computations
- Markov decision processes : discrete stochastic dynamic programming
- Markov processes and applications : algorithms, networks, genome and finance
- Matrix algebra useful for statistics
- Matrix differential calculus with applications in statistics and econometrics
- Measuring agreement : models, methods, and applications
- Measuring agreement : models, methods, and applications
- Methods and applications of linear models : regression and the analysis of variance
- Methods of multivariate analysis
- Mixed models : theory and applications
- Mixed models : theory and applications with R
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
- Models for probability and statistical inference : theory and applications
- Modern applied U-statistics
- Modern experimental design
- Modern regression methods
- Modes of parametric statistical inference
- Multilevel modelling of health statistics
- Multilevel statistical models
- Multivariable model-building : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
- Multivariate density estimation : theory, practice, and visualization
- Multivariate time series analysis : with R and financial applications
- Multivariate time series analysis and applications
- Nonparametric analysis of longitudinal data in factorial experiments
- Nonparametric finance
- Nonparametric hypothesis testing : rank and permutation methods with applications in R
- Nonparametric regression methods for longitudinal data analysis : [mixed-effects modeling approaches]
- Nonparametric statistical methods
- Numerical issues in statistical computing for the social scientist
- Numerical methods in finance : a MATLAB-based introduction
- Operational risks : modeling analytics
- Optimal learning
- Periodically correlated random sequences : spectral theory and practice
- Planning, construction, and statistical analysis of comparative experiments
- Precedence-type tests and applications
- Probability and statistical inference
- Quantile regression : theory and applications
- Random data : analysis and measurement procedures
- Random graphs for statistical pattern recognition
- Randomization in clinical trials : theory and practice
- Randomization in clinical trials : theory and practice
- Recent advances in quantitative methods in cancer and human health risk assessment
- Regression analysis by example
- Regression analysis by example
- Regression models for time series analysis
- Regression with social data : modeling continuous and limited response variables
- 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
- Response surface methodology : process and product optimization using designed experiments
- Response surfaces, mixtures, and ridge analyses
- Robust methods in biostatistics
- Robust statistics
- Robust statistics : theory and methods
- SAS System for regression
- SAS for linear models
- Sample size determination and power
- Sample size determination and power
- Sensitivity analysis
- Simulation and the monte carlo method
- Smoothing of multivariate data : density estimation and visualization
- Solutions manual to accompany Modern regression methods
- Spatial statistics and spatio-temporal data : covariance functions and directional properties
- Spatial tessellations : concepts and applications of Voronoi diagrams
- Stage-wise adaptive designs
- Standardization and tacit knowledge : interaction and practice in the survey interview
- Statistical advances in the biomedical sciences : clinical trials, epidemiology, survival analysis, and bioinformatics
- Statistical analysis of profile monitoring
- Statistical control by monitoring and adjustment
- Statistical inference for fractional diffusion processes
- Statistical intervals : a guide for practitioners and researchers
- Statistical meta-analysis with applications
- Statistical methods for quality improvement
- Statistical methods for survival data analysis
- Statistical methods for survival data analysis : Elisa T. Lee, John Wenyu Wang
- Statistical methods in diagnostic medicine
- Statistical methods in diagnostic medicine
- Statistical methods in spatial epidemiology
- Statistical process adjustment for quality control
- Statistical rules of thumb
- Statistical tolerance regions : theory, applications, and computation
- Statistics : principles and methods
- Statistics for experimenters : design, innovation, and discovery
- Statistics for imaging, optics, and photonics
- Statistics for research
- Statistics for spatio-temporal data
- Statistics of extremes : theory and applications
- Stochastic geometry and its applications
- Stochastic simulation
- Structural equation modeling : a Bayesian approach
- Structural equation modeling : applications using Mplus
- Structural equation modeling with Mplus : methods and applications
- The EM algorithm and extensions
- 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
- The statistical analysis of failure time data
- The theory of measures and integration
- Theory of ridge regression estimation with applications
- Time series : applications to finance
- Time series analysis : forecasting and control
- Time series analysis : forecasting and control
- Time series analysis : forecasting and control
- Time series analysis and forecasting by example
- Understanding uncertainty
- Understanding uncertainty
- Univariate discrete distributions
- Using the Weibull distribution : reliability, modeling, and inference
- Variations on split plot and split block experiment designs
- Visual statistics : seeing data with dynamic interactive graphics
- Weibull models

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