#
Wiley series in probability and mathematical statistics
Resource Information
The series ** Wiley series in probability and mathematical statistics** represents a set of related resources, especially of a specified kind, found in **University of Missouri Libraries**.

The Resource
Wiley series in probability and mathematical statistics
Resource Information

The series

**Wiley series in probability and mathematical 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

## Context

Context of Wiley series in probability and mathematical statistics#### Members

- Wiley series in probability and mathematical statistics, Applied probability and statistics
- Wiley series in probability and mathematical statistics, Probability and mathematical statistics
- Wiley series in probability and mathematical statistics, Probability and statistics
- Wiley series in probability and mathematical statistics, Tracts on probability and statistics
- A sampler on sampling
- Algebraic probability theory
- An introduction to Bayesian inference in econometrics
- An introduction to categorical data analysis
- An introduction to medical statistics
- An introduction to multivariate statistical analysis
- An introduction to probability theory and its applications
- An introduction to probability theory and mathematical statistics
- An introduction to regression graphics
- Analysis and control of dynamic economic systems
- Applied linear regression
- Applied regression analysis
- Approximation theorems of mathematical statistics
- Basic statistics : a primer for the biomedical sciences
- Basic statistics with business applications
- Basic statistics with business applications
- Bayesian estimation and experimental design in linear regression models
- Biostatistics : a foundation for analysis in the health sciences
- Choquet-Deny type functional equations with applications to stochastic models
- Clustering algorithms
- Collected papers : contributions to mathematical statistics
- Common principal components and related multivariate models
- Comparative statistical inference
- Comparative statistical inference
- Computational methods for data analysis
- Continuous univariate distributions
- Contributions to statistics
- Convergence of probability measures
- Counterexamples in probability
- Data analysis for scientists and engineers
- Decisions with multiple objectives : preferences and value tradeoffs
- Diffusions, Markov processes, and martingales
- Diffusions, Markov processes, and martingales
- Discrete discriminant analysis
- Discrete event systems : sensitivity analysis and stochastic optimization by the score function method
- Distributions in statistics: continuous multivariate distributions
- Econometric analysis by control methods
- Econometrics
- Elementary decision theory
- Elementary statistics
- Ergodic theory and information
- Experiments with mixtures : designs, models, and the analysis of mixture data
- Factorial designs
- Finite Markov processes and their applications
- Fitting equations to data : computer analysis of multifactor data
- Forecasting with univariate Box-Jenkins models : concepts and cases
- Foundations of inference in survey sampling
- Fourier analysis of time series : an introduction
- Generalized inverse of matrices and its applications
- Handbook of methods of applied statistics
- Infinitely divisible point processes
- Interpreting multivariate data
- Introduction to mathematical statistics
- Introduction to mathematical statistics
- Introduction to probability and statistics for engineers and scientists
- Introduction to probability theory and statistical inference
- Introduction to statistical time series
- Introduction to stochastic processes in biostatistics
- Introduction to the theory and practice of econometrics
- Introduction to the theory of nonparametric statistics
- Introduction to the theory of statistics
- Introductory engineering statistics
- Introductory engineering statistics
- Introductory statistics
- Introductory statistics for business and economics
- Linear models : an introduction
- Linear regression analysis
- Linear statistical inference and its applications
- Loss distributions
- Markov chains, theory and applications
- Markov processes : characterization and convergence
- Mathematical programming in statistics
- Mathematical taxonomy
- Mathematics, statistics, and systems for health
- Matrix differential calculus with applications in statistics and econometrics
- Methods and applications of linear models : regression and the analysis of variance
- Methods for statistical analysis of reliability and life data
- Methods for statistical data analysis of multivariate observations
- Methods of multivariate analysis
- Methods of multivariate analysis
- Multiple decision procedures : theory and methodology of selecting and ranking populations
- Multiple time series
- Multivariate density estimation : theory, practice, and visualization
- Nonparametric statistical methods
- Normal approximation and asymptotic expansions
- Optimization under constraints : theory and applications of nonlinear programming
- Order statistics
- Outliers in statistical data
- Parameter estimation in engineering and science
- Practical nonparametric statistics
- Prediction analysis of cross classifications
- Probability and measure
- Probability and measure
- Probability and random processes : a first course with applications
- Probability based on Radon measures
- Probability, induction and statistics : the art of guessing
- Queues and inventories : a study of their basic stochastic processes
- Queues and point processes
- R. A. Fisher, the life of a scientist
- Random sets and integral geometry
- Rank order probabilities ; : two-sample normal shift alternatives
- Regenerative phenomena
- Regression analysis by example
- Regression diagnostics : identifying influential data and sources of collinearity
- Regression, a second course in statistics
- Reversibility and stochastic networks
- Robust statistics
- Sampling techniques
- Selecting and ordering populations : a new statistical methodology
- Sequential nonparametrics : invariance principles and statistical inference
- Simulation and the Monte Carlo method
- Spatial data analysis by example
- Spatial statistics
- Specification searches : ad hoc inference with nonexperimental data
- Stationary and related stochastic processes : sample function properties and their applications
- Statistical computation
- Statistical concepts and methods
- Statistical inference under order restrictions ; : the theory and application of isotonic regression
- Statistical methods for comparative studies : techniques for bias reduction
- Statistical methods for quality improvement
- Statistical methods for rates and proportions
- Statistical methods for rates and proportions
- Statistical models in applied science
- Statistical techniques for manpower planning
- Statistics : a biomedical introduction
- Statistics and experimental design in engineering and the physical sciences
- Statistics for experimenters : an introduction to design, data analysis, and model building
- Stochastic geometry : a tribute to the memory of Rollo Davidson
- Stochastic models : an algorithmic approach
- Stochastic models for social processes
- Stochastic models for social processes
- Stochastic point processes : statistical analysis, theory, and applications
- Survival analysis
- Survival distributions : reliability applications in the biomedical sciences
- Survival models and data analysis
- Survival probabilities, the goal of risk theory
- Synchronization and linearity : an algebra for discrete event systems
- Testing statistical hypotheses
- The Theory and practice of econometrics
- The algebra of econometrics
- The analysis of cross-tabulated data
- The art of statistical science : a tribute to G.S. Watson
- The central limit theorem for real and Banach valued random variables
- The chi-squared distribution
- The statistical analysis of failure time data
- The structure of inference
- The theory of linear models and multivariate analysis
- The theory of statistical inference
- Theory and applications of stochastic differential equations
- Theory of probability : a critical introductory treatment
- Urn models and their application : an approach to modern discrete probability theory
- W.G. Cochran's impact on statistics

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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.library.missouri.edu/resource/2jIY1wkc3EY/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/2jIY1wkc3EY/">Wiley series in probability and mathematical statistics</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`