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Wiley series in probability and mathematical statistics, Applied probability and statistics
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The series ** Wiley series in probability and mathematical statistics, Applied 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 mathematical statistics, Applied probability and statistics
Resource Information

The series

**Wiley series in probability and mathematical statistics, Applied 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 mathematical statistics, Applied probability and statistics

- Title part
- Applied probability and statistics

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- A handbook of introductory statistical methods
- A user's guide to principal components
- Accelerated testing : statistical models, test plans and data analyses
- Advanced econometrics : a bridge to the literature
- Alternative methods of regression
- Analysis of experiments with missing data
- Analysis of ordinal categorical data
- Applied discriminant analysis
- Applied life data analysis
- Applied linear regression
- Applied logistic regression
- Applied probability and queues
- Applied probability and stochastic processes in engineering and physical sciences
- Applied statistics : analysis of variance and regression
- Basic statistics for business and economics
- Bayesian analysis in statistics and econometrics : essays in honor of Arnold Zellner
- Bayesian reliability analysis
- Beyond ANOVA, basics of applied statistics
- Biostatistics : a foundation for analysis in the health sciences
- Biostatistics : a foundation for analysis in the health sciences
- Biostatistics casebook
- Business survey methods
- Case studies in biometry
- Categorical data analysis
- Comparative statistical inference
- Comparison methods for queues and other stochastic models
- Counting processes and survival analysis
- Design and analysis of experiments
- Design and analysis of experiments for statistical selection, screening, and multiple comparisons
- Design, data, and analysis
- Discriminant analysis and statistical pattern recognition
- Discrimination and classification
- Elements of applied stochastic processes
- Empirical model building
- Empirical model-building and response surface
- Experiments with mixtures : designs, models, and the analysis of mixture data
- Exploring data tables, trends, and shapes
- Finding groups in data : an introduction to cluster analysis
- Finite algorithms in optimization and data analysis
- Forecasting with dynamic regression models
- Fractals, random shapes, and point fields : methods of geometrical statistics
- Fundamentals of exploratory analysis of variance
- Fundamentals of queueing theory
- Influence diagrams, belief nets, and decision analysis
- Introduction to linear regression analysis
- Introduction to modern business statistics
- Introductory engineering statistics
- Introductory statistics for business and economics
- Large deviation techniques in decision, simulation, and estimation
- Linear models for unbalanced data
- Linear statistical analysis of discrete data
- Linear statistical models and related methods : with applications to social research
- Lisp-Stat : an object-oriented environment for statistical computing and dynamic graphics
- MACSYMA for statisticians
- Markov decision processes : discrete stochastic dynamic programming
- Matrix algebra useful for statistics
- Measurement error models
- Measurement errors in surveys
- Monotone structure in discrete-event systems
- Monte Carlo optimization, simulation, and sensitivity of queueing networks
- Multidimensional scaling
- Multiple comparison procedures
- Multiple criteria optimization : theory, computation, and application
- Multivariate analysis : methods and applications
- Multivariate descriptive statistical analysis : correspondence analysis and related techniques for large matrices
- Multivariate statistical simulation
- Nonlinear regression analysis and its applications
- Nonlinear statistical models
- Numerical methods for stochastic processes
- Optimization over time
- Outliers in statistical data
- Regression analysis by example
- Resampling-based multiple testing : examples and methods for P-value adjustment
- Robust regression and outlier detection
- Robust statistical procedures : asymptotics and interrelations
- Sampling
- Sampling of populations : methods and applications
- Sensitivity analysis in linear regression
- Small area statistics : an international symposium
- Statistical analysis of finite mixture distributions
- Statistical analysis with missing data
- Statistical design and analysis of experiments : with applications to engineering and science
- Statistical design for research
- Statistical intervals : a guide for practitioners
- Statistical methods for forecasting
- Statistical methods for survival data analysis
- Statistical methods for the analysis of biomedical data
- Statistical methods in engineering and quality assurance
- Statistical methods of model building, Volume II, Nonlinear regression, functional relations and robust methods
- Statistical modeling by wavelets
- Statistical models and methods for lifetime data
- Statistics : discovering its power
- Statistics and the law
- Statistics for research
- Statistics for spatial data
- Stochastic geometry and its applications
- Stochastic modelling and analysis : a computational approach
- Stochastic processes with applications
- Stochastic simulation
- Structural equations with latent variables
- Structural sensitivity in econometric models
- Systems in stochastic equilibrium
- Telephone survey methodology
- The design and analysis of clinical experiments
- Theory of preliminary test and Stein-type estimation with applications
- Understanding robust and exploratory data analysis
- Univariate discrete distributions
- Variance components

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