#
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 **Massey University Library, University of New Zealand**.

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**Massey University Library, University of New Zealand**.- Label
- Wiley series in probability and statistics

## Context

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

- Wiley series in probability and statistics, 1345
- Wiley series in probability and statistics, 755
- Wiley series in probability and statistics, 893
- Wiley series in probability and statistics, Applied probability and statistics
- Wiley series in probability and statistics, Applied probability and statistics section
- 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
- Wiley series in probability and statistics, Texts, references, and pocketbooks section
- A course in time series analysis
- A matrix handbook for statisticians
- A primer on experiments with mixtures
- A primer on experiments with mixtures
- Advanced analysis of variance
- Advanced calculus with applications in statistics
- An elementary introduction to statistical learning theory
- An elementary introduction to statistical learning theory
- An introduction to analysis of financial data with R
- An introduction to categorical data analysis
- An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics
- An introduction to probability and statistics
- Analysis of financial time series
- Analysis of health surveys
- Analysis of ordinal categorical data
- Analysis of ordinal categorical data
- Analyzing and modeling spatial and temporal dynamics of infectious diseases
- 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 MANOVA and discriminant analysis
- 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 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
- Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioural sciences
- Batch effects and noise in microarray experiments : sources and solutions
- Bayes linear statistics : theory and methods
- Bayesian analysis for the social sciences
- Bayesian models for categorical data
- Bayesian networks : an introduction
- Bayesian statistical modelling
- Bias and causation : models and judgment for valid comparisons
- Bias and causation : models and judgment for valid comparisons
- Biostatistical methods : the assessment of relative risks
- Biostatistics : a methodology for the health sciences
- Bootstrap methods : a guide for practitioners and researchers
- Case studies in reliability and maintenance
- 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
- Cluster analysis
- Combinatorial methods in discrete distributions
- Constrained statistical inference : inequality, order, and shape restrictions
- Contemporary Bayesian econometrics and statistics
- Continuous multivariate distributions., Vol. 1, Models and applications
- Correspondence analysis : theory, practice and new strategies
- 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
- Design and Analysis of Experiments , Volume 3, Special Designs and Applications
- Design and analysis of clinical trials : concept and methodologies
- Design and analysis of clinical trials : concepts and methodologies
- Design and analysis of experiments., Volume 1, Introduction to experimental design
- Directional statistics
- Dirichlet and Related Distributions : Theory, Methods and Applications
- Discrete distributions : applications in the health sciences
- Empirical model building : data, models, and reality
- Environmental statistics : methods and applications
- 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
- Exploration and analysis of DNA microarray and protein array data
- Exploratory data mining and data cleaning
- Extremes in random fields : a theory and its applications
- Fast sequential Monte Carlo methods for counting and optimization
- Financial derivatives in theory and practice
- Flowgraph models for multistate time-to-event data
- Fractal-based point processes
- Fractal-based point processes
- Fundamental Statistical Inference : A Computational Approach
- Fundamentals of queueing theory
- Fundamentals of queueing theory
- Game-theoretic foundations for probability and finance
- Generalized least squares
- Generalized linear models : with applications in engineering and the sciences
- Geometry driven statistics
- Geostatistics : modeling spatial uncertainty
- High-dimensional covariance estimation
- Image processing and jump regression analysis
- Inference and prediction in large dimensions
- Information and exponential families : in statistical theory
- Introduction to imprecise probabilities
- Introduction to imprecise probabilities
- Introduction to linear regression analysis
- Introduction to nonparametric regression
- Introduction to statistical time series
- Introduction to time series analysis and forecasting
- Introductory biostatistics for the health sciences : modern applications including bootstrap
- Introductory stochastic analysis for finance and insurance
- Latent class and latent transition analysis : with applications in the social behavioral, and health sciences
- Latent curve models : a structural equation perspective
- Latent variable models and factor analysis : a unified approach
- Linear model theory : univariate, multivariate, and mixed models
- Linear models
- Linear models : the theory and application of analysis of variance
- Linear models and time-series analysis : regression, ANOVA, ARMA and GARCH
- Linear regression analysis
- Linear statistical models
- Long-memory time series : theory and methods
- Longitudinal data analysis
- Loss models : further topics
- Lower previsions
- LÃ©vy processes in finance : pricing financial derivatives
- Management of data in clinical trials
- Markov chains : analytic and Monte Carlo computations
- Markov processes and applications : algorithms, networks, genome and finance
- Markov processes and applications : algorithms, networks, genome and finance
- Mathematics of chance
- Matrix analysis for statistics
- Matrix differential calculus with applications in statistics and econometrics
- Measurement errors in surveys
- Meta analysis : a guide to calibrating and combining statistical evidence
- Methodological developments in data linkage
- Methods and applications of linear models : regression and the analysis of variance
- Methods and applications of linear models : regression and the analysis of variance
- Methods and applications of linear models : regression and the analysis of variance
- Methods for statistical data analysis of multivariate observations
- Methods of multivariate analysis
- Mixed models : theory and applications
- Mixtures : estimation and applications
- Models for investors in real world markets
- 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 statistical models
- Multilevel statistical models
- Multistate systems reliability : theory with applications
- 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 statistics : high-dimensional and large-sample approximations
- Multivariate time series analysis and applications
- Nonparametric analysis of univariate heavy-tailed data research and practice
- Nonparametric finance
- Nonparametric regression methods for longitudinal data analysis
- Nonparametric statistical methods
- Nonparametric statistical methods
- Nonparametric statistical methods
- Nonparametric statistics with applications to science and engineering
- Numerical issues in statistical computing for the social scientist
- Operational risk : modeling analytics
- Optimal learning
- Periodically correlated random sequences : spectral theory and practice
- Planning, construction, and statistical analysis of comparative experiments
- Preparing for the worst : incorporating downside risk in stock market investments
- Quantile regression : theory and applications
- Quantitative methods in population health : extensions of ordinary regression
- Random data : analysis and measurement procedures
- Random data : analysis and measurement procedures
- Random graphs for statistical pattern recognition
- Randomization in clinical trials : theory and practice
- Recent advances in quantitative methods for cancer and human health risk assessment
- Regression analysis by example
- Regression models for time series analysis
- Regression with social data : modeling continuous and limited response variables
- Reliability and risk : a Bayesian perspective
- Response surface methodology : process and product optimization using designed experiments
- Response surfaces, mixtures, and ridge analyses
- Robust correlation : theory and applications
- Robust methods in biostatistics
- Robust statistics
- Robust statistics : theory and methods (with R)
- Robustness theory and application
- Runs and scans with applications
- Sample size determination and power
- Sampling
- Shape and shape theory
- Simulation and the Monte Carlo Method
- Simulation and the Monte Carlo method
- Simulation and the monte carlo method
- Smooth tests of goodness of fit using R
- Smoothing of multivariate data : density estimation and visualization
- Spatial and spatio-temporal geostatistical modeling and kriging
- Spatial statistics and spatio-temporal data : covariance functions and directional properties
- Spatial tessellations : concepts and applications of Voronoi diagrams
- Stage-wise adaptive designs
- Statistical advances in the biomedical sciences : clinical trials, epidemiology, survival analysis, and bioinformatics
- Statistical advances in the biomedical sciences : clinical trials, epidemiology, survival analysis, and bioinformatics
- Statistical analysis of designed experiments : theory and applications
- Statistical analysis of profile monitoring
- Statistical analysis with missing data
- Statistical control by monitoring and adjustment
- Statistical design and analysis of experiments : with applications to engineering and science
- Statistical group comparison
- Statistical inference for fractional diffusion processes
- Statistical meta-analysis with applications
- Statistical methods for quality improvement
- Statistical methods for rates and proportions
- Statistical methods for survival data analysis
- Statistical methods for survival data analysis
- Statistical methods for the analysis of biomedical data
- Statistical methods in diagnostic medicine
- Statistical methods in diagnostic medicine
- Statistical methods in spatial epidemiology
- Statistical models and methods for lifetime data
- Statistical rules of thumb
- Statistical shape analysis with applications in R
- Statistical size distributions in economics and actuarial sciences
- Statistical size distributions in economics and actuarial sciences
- Statistical tolerance regions : theory, applications, and computation
- Statistics and causality : methods for applied empirical research
- Statistics of extremes : theory and applications
- Stochastic processes for insurance and finance
- Structural equation modeling : a Bayesian approach
- Structural equation modeling : applications using Mplus
- Subjective and objective Bayesian statistics : principles, models, and applications
- The EM algorithm and extensions
- The analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies
- The construction of optimal stated choice experiments : theory and methods
- The fitness of information : quantitative assessments of critical evidence
- The statistical analysis of failure time data
- The theory of measures and integration
- The theory of response-adaptive randomization in clinical trials
- Theoretical foundations of functional data analysis, with an introduction to linear operators
- Theory of probability : a critical introductory treatment
- Theory of ridge regression estimators with applications
- Time series analysis
- Time series analysis : forecasting and control
- Time series analysis : nonstationary and noninvertible distribution theory
- Time series analysis and forecasting by example
- Time series analysis and forecasting by example
- Time series analysis with long memory in view
- Uncertainty analysis with high dimensional dependence modelling
- 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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