65 Items in the Series Springer series in statistics
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Context of Springer series in statisticsMembers
 Springer series in statistics, 1
 Springer series in statistics, Probability and its applications
 A course on point processes
 An introduction to rare event simulation
 Applied Bayesian and classical inference : the case of the Federalist papers
 Applied statistics : a handbook of techniques
 Approximate distributions of order statistics : with applications to nonparametric statistics
 Asymptotic methods in statistical decision theory
 Asymptotics in statistics : some basic concepts
 Bayes theory
 Bayesian forecasting and dynamic models
 Bayesian reliability
 Breakthroughs in statistics
 Chaos : a statistical perspective
 Computing in statistical science through APL
 Continuous time Markov chains : an applicationsoriented approach
 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
 Elements of multivariate time series analysis
 Extremes and related properties of random sequences and processes
 Forecasting with exponential smoothing : the state space approach
 Functional data analysis
 Goodnessoffit statistics for discrete multivariate data
 Introduction to variance estimation
 Model assisted survey sampling
 Modern concepts and theorems of mathematical statistics
 Modern multidimensional scaling : theory and applications
 Monte Carlo strategies in scientific computing
 Multivariate calculation : use of the continuous groups
 Multivariate statistical modelling based on generalized linear models
 Nonnegative matrices and Markov chains
 Nonlinear estimation
 Nonparametric curve estimation : methods, theory and applications
 Parameter estimation and hypothesis testing in spectral analysis of stationary time series
 Permutation tests : a practical guide to resampling methods for testing hypotheses
 Principal component analysis
 Sequential analysis : tests and confidence intervals
 Simulation and inference for stochastic differential equations : with r examples
 Simultaneous statistical inference
 Smoothing spline ANOVA models
 Smoothing techniques : with implementation in S
 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 models based on counting processes
 Statistical tables for multivariate analysis : a handbook with references to applications
 The bootstrap and Edgeworth expansion
 The multivariate normal distribution
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