Wiley series in probability and statistics
Resource Information
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.
The Resource
Wiley series in probability and statistics
Resource Information
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.
- Label
- Wiley series in probability and statistics
211 Items in the Series Wiley series in probability and statistics
Context
Context of Wiley series in probability and statisticsMembers
No resources found
No enriched resources found
- 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
- Lévy 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
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<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/0JxnZ3HxeEY/" 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/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.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>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Series Wiley series in probability and statistics
Copy and paste the following RDF/HTML data fragment to cite this resource
<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/0JxnZ3HxeEY/" 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/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.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>
