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Springer series in statistics
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The series ** Springer series in statistics** represents a set of related resources, especially of a specified kind, found in **University of Missouri Libraries**.

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Springer series in statistics
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**Springer series in statistics**represents a set of related resources, especially of a specified kind, found in**University of Missouri Libraries**.- Label
- Springer series in statistics

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- Springer series in statistics, 200
- Springer series in statistics, 272
- Springer series in statistics, 272.
- Springer series in statistics, 297
- Springer series in statistics, 298
- Springer series in statistics, Perspectives in statistics
- Springer series in statistics, Probability and its applications
- Springer series in statistics, v. 199
- A Statistical model : Frederick Mosteller's contributions to statistics, science, and public policy
- A comparison of the Bayesian and frequentist approaches to estimation
- A comparison of the bayesian and frequentist approaches to estimation
- A course on point processes
- A distribution-free theory of nonparametric regression
- A modern theory of factorial design
- A modern theory of factorial designs
- ARCH models and financial applications
- Advanced statistics
- An introduction to copulas
- An introduction to copulas
- An introduction to the theory of point processes
- Analysis of neural data
- Annotated readings in the history of statistics
- Applied Bayesian and classical inference : the case of the Federalist papers
- Applied functional data analysis : methods and case studies
- Applied statistics : a handbook of techniques
- Approximate distributions of order statistics : with applications to nonparametric statistics
- Aspects of risk theory
- Asymptotic methods in statistical decision theory
- Asymptotic theory of statistical inference for time series
- Asymptotics in statistics : some basic concepts
- Bayes theory
- Bayesian and frequentist regression methods
- Bayesian forecasting and dynamic models
- Bayesian nonparametrics
- Bayesian reliability
- Bayesian reliability
- Bayesian survival analysis
- Chaos : a statistical perspective
- Combinatorial methods in density estimation
- Comparing distributions
- Comparing distributions
- Computing in statistical science through APL
- Concepts of nonparametric theory
- Conditional specification of statistical models
- Continuous-time Markov chains : an applications-oriented approach
- Convergence of stochastic processes
- Correlated Data Analysis : Modeling, Analytics, and Applications
- Correlation theory of stationary and related random functions
- Data : a collection of problems from many fields for the student and research worker
- Design of observational studies
- Design of observational studies
- Design of observational studies
- Dynamic mixed models for familial longitudinal data
- Dynamic mixed models for familial longitudinal data
- Elements of multivariate time series analysis
- Exact statistical methods for data analysis
- Exploring multivariate data with the forward search
- Exponential families of stochastic processes
- Extremes and related properties of random sequences and processes
- Fitting linear relationships : a history of the calculus of observations 1750-1900
- Forecasting with exponential smoothing : the state space approach
- Functional data analysis
- Functional data analysis
- Functional data analysis
- Gaussian and non-Gaussian linear time series and random fields
- Goodness-of-fit statistics for discrete multivariate data
- Growth curve models and statistical diagnostics
- Indirect sampling
- Inequalities : theory of majorization and its applications
- Inequalities : theory of majorization and its applications
- Inference in Hidden Markov Models
- Inference in hidden Markov models
- Information criteria and statistical modeling
- Information criteria and statistical modeling
- Interpolation of spatial data : some theory for kriging
- Introduction to empirical processes and semiparametric inference
- Introduction to empirical processes and semiparametric inference
- Introduction to nonparametric estimation
- Introduction to nonparametric estimation
- Introduction to rare event simulation
- Introduction to statistics : the nonparametric way
- Introduction to variance estimation
- Linear and generalized linear mixed models and their applications
- Linear and generalized linear mixed models and their applications
- Linear and generalized linear mixed models and their applications
- Linear mixed models for longitudinal data
- Linear models : least squares and alternatives
- Linear models : least squares and alternatives
- Linear models and generalizations : least squares and alternatives
- Linear models and generalizations : least squares and alternatives
- Longitudinal categorical data analysis
- Maximum penalized likelihood estimation
- Maximum penalized likelihood estimation
- Model assisted survey sampling
- Model-based geostatistics
- Models for discrete longitudinal data
- Models for discrete longitudinal data
- Models for uncertainty in educational testing
- Modern concepts and theorems of mathematical statistics
- Modern multidimensional scaling : theory and applications
- Modern multidimensional scaling : theory and applications
- Modern multidimensional scaling : theory and applications
- Monte Carlo methods in Bayesian computation
- Monte carlo and quasi-monte carlo sampling
- Multiple testing procedures with applications to genomics
- Multiscale modeling : a Bayesian perspective
- Multiscale modeling : a Bayesian perspective
- Multivariate calculation : use of the continuous groups
- Multivariate statistical modelling based on generalized linear models
- Non-negative matrices and Markov chains
- Nonlinear estimation
- Nonlinear time series : nonparametric and parametric methods
- Nonparametric and semiparametric models
- Nonparametric curve estimation : methods, theory, and applications
- Nonparametric functional data analysis : theory and practice
- Nonparametric functional data analysis : theory and practice
- Nonparametric smoothing and lack-of-fit tests
- Observational studies
- Parameter estimation and hypothesis testing in spectral analysis of stationary time series
- Partial identification of probability distributions
- Permutation methods : a distance function approach
- Permutation methods : a distance function approach
- Permutation methods : a distance function approach
- Permutation tests : a practical guide to resampling methods for testing hypotheses
- Permutation, parametric and bootstrap tests of hypotheses
- Permutation, parametric and bootstrap tests of hypotheses
- Point processes and queues, martingale dynamics
- Prediction theory for finite populations
- Principal component analysis
- Principal component analysis
- Principles and theory for data mining and machine learning
- Principles and theory for data mining and machine learning
- Principles and theory for data mining and machine learning
- Quasi-likelihood and its application : a general approach to optimal parameter estimation
- Recursive partitioning and applications
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Reliability, life testing and the prediction of service lives : for engineers and scientists
- Reliability, life testing and the prediction of service lives : for engineers and scientists
- Resampling methods for dependent data
- Robust asymptotic statistics
- Robust diagnostic regression analysis
- Sample survey theory : some Pythagorean perspectives
- Sampling algorithms
- Sampling algorithms
- Scan statistics
- Selected papers of Hirotugu Akaike
- Semiparametric and nonparametric methods in econometrics
- Semiparametric theory and missing data
- Semiparametric theory and missing data
- Sequential analysis : tests and confidence intervals
- Simulation and inference for stochastic differential equations : with R examples
- Simulation and inference for stochastic differential equations : with R examples
- Simultaneous statistical inference
- Smoothing methods in statistics
- Smoothing spline ANOVA models
- Spatial statistics and modeling
- Spectral analysis of large dimensional random matrices
- Spectral analysis of large dimensional random matrices
- Statistical analysis of environmental space-time processes
- Statistical analysis of environmental space-time processes
- Statistical analysis of network data : methods and models
- Statistical analysis of network data : methods and models
- Statistical decision theory : estimation, testing, and selection
- Statistical decision theory : estimation, testing, and selection
- Statistical decision theory and Bayesian analysis
- Statistical decision theory and Bayesian analysis
- Statistical decision theory, foundations, concepts, and methods
- Statistical demography and forecasting
- Statistical design and analysis for intercropping experiments
- Statistical inference for ergodic diffusion processes
- Statistical learning from a regression perspective
- Statistical learning from a regression perspective
- Statistical methods in software engineering : reliability and risk
- Statistical models based on counting processes
- Statistical tables for multivariate analysis : a handbook with references to applications
- Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
- Statistics for high-dimensional data : methods, theory and applications
- Statistics for high-dimensional data : methods, theory and applications
- Stochastic orders
- Stochastic orders
- Subsampling
- Targeted learning : causal inference for observational and experimental data
- Test equating : methods and practices
- The Burrows-Wheeler transform : data compression, suffix arrays, and pattern matching
- The bootstrap and Edgeworth expansion
- The design and analysis of computer experiments
- The elements of statistical learning : data mining, inference, and prediction
- The elements of statistical learning : data mining, inference, and prediction
- The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations
- The jackknife and bootstrap
- The multivariate normal distribution
- The statistical theory of shape
- Theory of statistical experiments
- Theory of statistics
- Time series : theory and methods
- Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
- Unified methods for censored longitudinal data and causality
- Weak convergence and empirical processes : with applications to statistics

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