#
Springer Series in Statistics,
Resource Information
The series ** Springer Series in Statistics,** represents a set of related resources, especially of a specified kind, found in **University of Oklahoma Libraries**.

The Resource
Springer Series in Statistics,
Resource Information

The series

**Springer Series in Statistics,**represents a set of related resources, especially of a specified kind, found in**University of Oklahoma Libraries**.- Label
- Springer Series in Statistics,

- Issn
- 0172-7397

## Context

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- Springer Series in Statistics,, 199
- Springer Series in Statistics,, 200
- Springer Series in Statistics,, 272
- Springer Series in Statistics,, 297
- Springer Series in Statistics,, 298
- A Comparison of the Bayesian and Frequentist Approaches to Estimation
- A Distribution-Free Theory of Nonparametric Regression
- A Modern Theory of Factorial Design
- ARCH Models and Financial Applications
- An Introduction to Copulas
- Analysis of Neural Data
- Applied Functional Data Analysis : Methods and Case Studies
- Asymptotic Theory of Statistical Inference for Time Series
- Asymptotics in Statistics : Some Basic Concepts
- Bayesian Forecasting and Dynamic Models
- Bayesian Nonparametric Data Analysis
- Bayesian Nonparametrics
- Bayesian Reliability
- Bayesian and Frequentist Regression Methods
- Combinatorial Methods in Density Estimation
- Conditional Specification of Statistical Models
- Correlated Data Analysis: Modeling, Analytics, and Applications
- Design of Observational Studies
- Dynamic Mixed Models for Familial Longitudinal Data
- Exponential Families of Stochastic Processes
- Finite Mixture and Markov Switching Models
- Finite mixture and Markov switching models
- Fitting Linear Relationships : A History of the Calculus of Observations 1750â€“1900
- Forecasting with Exponential Smoothing : The State Space Approach
- Functional Data Analysis
- Gaussian and Non-Gaussian Linear Time Series and Random Fields
- Growth Curve Models and Statistical Diagnostics
- Indirect Sampling
- Inequalities: Theory of Majorization and Its Applications
- Inference in Hidden Markov Models
- Interpolation of Spatial Data : Some Theory for Kriging
- Introduction to Empirical Processes and Semiparametric Inference
- Introduction to Nonparametric Estimation
- Introduction to Variance Estimation
- Life Distributions : Structure of Nonparametric, Semiparametric, and Parametric Families
- Linear Mixed Models for Longitudinal Data
- Linear Mixed Models for Longitudinal Data
- Linear Models : Least Squares and Alternatives
- Linear Models and Generalizations : Least Squares and Alternatives
- Linear and Generalized Linear Mixed Models and Their Applications
- Longitudinal Categorical Data Analysis
- Maximum Penalized Likelihood Estimation : Volume II: Regression
- Model-based Geostatistics
- Modeling Discrete Time-to-Event Data
- Models for Discrete Longitudinal Data
- 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
- Nonlinear Time Series : Nonparametric and Parametric Methods
- Nonparametric Curve Estimation : Methods, Theory, and Applications
- Nonparametric Functional Data Analysis : Theory and Practice
- Nonparametric and Semiparametric Models
- Orthogonal Arrays : Theory and Applications
- Partial Identification of Probability Distributions
- Permutation Methods : A Distance Function Approach
- Permutation, Parametric, and Bootstrap Tests of Hypotheses
- 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 and Ordinal Regression, and Survival Analysis
- Reliability, Life Testing and the Prediction of Service Lives : For Engineers and Scientists
- Robust Diagnostic Regression Analysis
- Sample Survey Theory : Some Pythagorean Perspectives
- Sampling Algorithms
- Selected Papers of Frederick Mosteller
- Semiparametric Theory and Missing Data
- Semiparametric and Nonparametric Methods in Econometrics
- Simulation and Inference for Stochastic Differential Equations : With R Examples
- Spatial Statistics and Modeling
- Spectral Analysis of Large Dimensional Random Matrices
- Statistical Analysis of Environmental Space-Time Processes
- Statistical Analysis of Network Data : Methods and Models
- Statistical Decision Theory : Estimation, Testing, and Selection
- Statistical Demography and Forecasting
- Statistical Design and Analysis for Intercropping Experiments : Volume II: Three or More Crops
- Statistical Inference in Science
- Statistical Learning from a Regression Perspective
- Statistical Methods in Software Engineering : Reliability and Risk
- Statistical Tools for Nonlinear Regression : A Practical Guide With S-PLUS and R Examples
- Statistics for High-Dimensional Data : Methods, Theory and Applications
- Stochastic Orders
- Subsampling
- Targeted Learning : Causal Inference for Observational and Experimental Data
- The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition

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