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 Boston University Libraries.
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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 Boston University Libraries.
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 Springer series in statistics
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 uri http://id.loc.gov/authorities/names/n42023188
 uri http://viaf.org/viaf/sourceID/LCn42023188
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 Springer series in statistics, Perspectives in statistics
 Springer series in statistics, Probability and its applications
 Springer series in statistics, Statistics in the health sciences
 Springer series in statistics, v. 1
 A comparison of the Bayesian and frequentist approaches to estimation
 A course on point processes
 A statistical model : Frederick Mosteller's contributions to statistics, science, and public policy
 ARCH models and financial applications
 Advanced statistics
 An introduction to the theory of point processes
 Analysis of Neural Data
 Applied Bayesian and classical inference : the case of the Federalist papers
 Applied statistics : a handbook of techniques
 Applied statistics : a handbook of techniques
 Approximate distributions of order statistics : with applications to nonparametric statistics
 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 reliability
 Chaos : a statistical perspective
 Combinatorial methods in density estimation
 Computing in statistical science through APL
 Concepts of nonparametric theory
 Convergence of stochastic processes
 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
 Elements of multivariate time series analysis
 Estimation of dependences based on empirical data
 Exact statistical methods for data analysis
 Extremes and related properties of random sequences and processes
 Fitting linear relationships : a history of the calculus of observations 17501900
 Forecasting with exponential smoothing : the state space approach
 Functional data analysis
 Goodnessoffit statistics for discrete multivariate data
 Growth curve models and statistical diagnostics
 Inequalities : theory of majorization and its applications
 Inference in hidden Markov models
 Interpolation of spatial data : some theory for kriging
 Introduction to variance estimation
 Linear models : least squares and alternatives
 Maximum penalized likelihood estimation
 Model assisted survey sampling
 Modern concepts and theorems of mathematical statistics
 Modern multidimensional scaling : theory and applications
 Monte Carlo and quasiMonte Carlo sampling
 Monte Carlo strategies in scientific computing
 Multiple Testing Procedures with Applications to Genomics
 Multivariate calculation : use of the continuous groups
 Multivariate statistical modelling based on generalized linear models
 Multivariate statistical modelling based on generalized linear models
 Nonnegative matrices and Markov chains
 Nonlinear estimation
 Nonlinear time series : nonparametric and parametric methods
 Nonparametric smoothing and lackoffit tests
 Observational studies
 Observational studies
 Parameter estimation and hypothesis testing in spectral analysis of stationary time series
 Permutation methods : a distance function approach
 Permutation tests : a practical guide to resampling methods for testing hypotheses
 Permutation tests : a practical guide to resampling methods for testing hypotheses
 Point processes and queues, martingale dynamics
 Prediction theory for finite populations
 Principal component analysis
 Principles and theory for data mining and machine learning
 Rank and PseudoRank Procedures for Independent Observations in Factorial Designs : Using R and SAS
 Recursive partitioning and applications
 Robust asymptotic statistics
 Scan statistics
 Semiparametric and nonparametric methods in econometrics
 Sequential analysis : tests and confidence intervals
 Simulation and inference for stochastic differential equations : with r examples
 Simultaneous statistical inference
 Smoothing methods in statistics
 Smoothing spline ANOVA models
 Smoothing techniques : with implementation in S
 Spatial statistics and modeling
 Spectral analysis of large dimensional random matrices
 Statistical analysis of network data : methods and models
 Statistical decision theory : estimation, testing, and selection
 Statistical decision theory and Bayesian analysis
 Statistical decision theory, foundations, concepts, and methods
 Statistical learning from a regression perspective
 Statistical methods in software engineering : reliability and risk
 Statistical tables for multivariate analysis : a handbook with references to applications
 Statistical tools for nonlinear regression : a practical guide with SPLUS examples
 Statistics for highdimensional data : methods, theory and applications
 Subsampling
 The bootstrap and Edgeworth expansion
 The elements of statistical learning : data mining, inference, and prediction
 The elements of statistical learning : data mining, inference, and prediction : with 200 fullcolor illustrations
 The multivariate normal distribution
 The statistical theory of shape
 Theory of statistical experiments
 Time series : theory and methods
 Time series : theory and methods
 Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
 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
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