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Springer series in statistics

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Springer series in statistics

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Table of Contents

  • Methodology and distribution

  • A distribution-free theory of nonparametric regression

  • Non-negative matrices and Markov chains

  • Nonlinear time series : nonparametric and parametric methods

  • Foundations and basic theory

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Paper

Material Type
図書
Publication, Distribution, etc.
Alternative Title
Springer series in statistics : perspectives in statistics
Place of Publication (Country Code)
us
Target Audience
一般
Related Material
Methodology and distribution
A distribution-free theory of nonparametric regression
Non-negative matrices and Markov chains
Nonlinear time series : nonparametric and parametric methods
Foundations and basic theory
The use of restricted significance tests in clinical trials
Functional and shape data analysis
Sequential analysis : tests and confidence intervals
Smoothing techniques : with implementation in S
Smoothing spline ANOVA models
Sample survey theory : some Pythagorean perspectives
Vector generalized linear and additive models : with an implementation in R
The linear model and hypothesis : a general unifying theory
Sampling algorithms
Statistical analysis of network data : methods and models
Monte Carlo strategies in scientific computing
Monte Carlo methods in Bayesian computation
Nonparametric curve estimation : methods, theory and applications
Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
Inference for functional data with applications
Introduction to rare event simulation
Bayesian nonparametrics
Nonlinear estimation
Approximate distributions of order statistics : with applications to nonparametric statistics
Resampling methods for dependent data
Applied statistics : a handbook of techniques
Multivariate calculation : use of the continuous groups
The design and analysis of computer experiments
Statistical demography and forecasting
Fitting linear relationships : a history of the calculus of observations, 1750-1900
Growth curve models and statistical diagnostics
Sequential experimentation in clinical trials : design and analysis
Time series : theory and methods
Gaussian and non-Gaussian linear time series and random fields
Applied statistics : a handbook of techniques
Exploring multivariate data with the forward search
Multivariate analysis with LISREL
Robust diagnostic regression analysis
Principal component analysis
Asymptotics in statistics : some basic concepts
Unified methods for censored longitudinal data and causality
Weak convergence and empirical processes : with applications to statistics
Parameter estimation and hypothesis testing in spectral analysis of stationary time series
Multiscale modeling : a Bayesian perspective
Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
Spectral analysis of large dimensional random matrices
Linear mixed models for longitudinal data
Statistical learning from a regression perspective
Observational studies
Prior processes and their applications : nonparametric Bayesian estimation
Inference in hidden Markov models
Linear mixed models for longitudinal data
Density estimation
Robust asymptotic statistics
Statistical models based on counting processes
Applied compositional data analysis : with worked examples in R
Statistical analysis with measurement error or misclassification : strategy, method and application
Monte Carlo strategies in scientific computing
The elements of statistical learning : data mining, inference, and prediction
Dynamic data analysis : modeling data with differential equations
Bayesian forecasting and dynamic models
Rank and pseudo-rank procedures for independent observations in factorial designs : using R and SAS
Exponential families of stochastic processes
The Gini methodology : a primer on a statistical methodology
Three or more crops
The collected works of Wassily Hoeffding
Two crops
Smoothing spline ANOVA models
Statistical methods in software engineering : reliability and risk
The jackknife and bootstrap
Time series : theory and methods
Dynamic mixed models for familial longitudinal data
An introduction to copulas
Targeted learning in data science : causal inference for complex longitudinal studies
Conditional specification of statistical models
Bayesian forecasting and dynamic models
The bootstrap and Edgeworth expansion
A course on point processes
Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
ARMA model identification
Models for uncertainty in educational testing
Interpolation of spatial data : some theory for kriging
Permutation methods : a distance function approach
Statistical tables for multivariate analysis : a handbook with references to applications
Statistical decision theory and Bayesian analysis
Computing in statistical science through APL
Applied functional data analysis : methods and case studies
Permutation, parametric and bootstrap tests of hypotheses
The design and analysis of computer experiments
A statistical model : Frederick Mosteller's contributions to statistics, science, and public policy
Point processes and queues, martingale dynamics
Statistical decision theory : estimation, testing, and selection
Inequalities : theory of majorization and its applications
Principal component analysis
Forecasting the health of elderly populations
Smoothing methods in statistics
Quasi-likelihood and its application : a general approach to optimal parameter estimation
Continuous-time Markov chains : an applications-oriented approach
Information criteria and statistical modeling
Linear models : least squares and alternatives
Indirect sampling
Introduction to empirical processes and semiparametric inference
Markov bases in algebraic statistics
Functional data analysis
Non-negative matrices and Markov chains
Simultaneous statistical inference
Statistics for high-dimensional data : methods, theory and applications
Statistical learning from a regression perspective
Introduction to nonparametric estimation
Density estimation
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
An introduction to the theory of point processes
The statistical theory of shape
Recursive Partitioning and Applications
Design of observational studies
An introduction to Sequential Monte Carlo
Design of observational studies
Ten projects in applied statistics
Change point analysis for time series
Elements of multivariate time series analysis
Goodness-of-fit statistics for discrete multivariate data
Correlated data analysis : modeling, analytics, and applications
A comparison of the Bayesian and frequentist approaches to estimation
Selected papers of Frederick Mosteller
Theory of statistics
Modeling discrete time-to-event data
Aspects of risk theory
Multivariate statistical modelling based on generalized linear models
Non-negative matrices and Markov chains
Prediction theory for finite populations
Functional data analysis
Asymptotic theory of statistical inference for time series
Description of populations
Subsampling
Concepts of nonparametric theory
Sample survey theory : some Pythagorean perspectives
Comparing distributions
Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
Modern concepts and theorems of mathematical statistics
Models for discrete longitudinal data
Statistical analysis of network data : methods and models
Semiparametric theory and missing data
Permutation tests : a practical guide to resampling methods for testing hypotheses
Time series : theory and methods
Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
Chaos : a statistical perspective
Asymptotics in statistics : some basic concepts
Observational studies
Shrinkage estimation
Selected papers of Hirotugu Akaike
Linear and generalized linear mixed models and their applications
Permutation methods : a distance function approach
Observational studies
Statistical decision theory, foundations, concepts, and methods
Modern multidimensional scaling : theory and applications
Introduction to variance estimation
Principal component analysis
The science of Bradley Efron : selected papers
Smoothing methods in statistics
Model assisted survey sampling
Statistical decision theory : estimation, testing, and selection
Theory of statistics
The bootstrap and Edgeworth expansion
Measures of association for cross classifications
Permutation tests : a practical guide to resampling methods for testing hypotheses
Elements of multivariate time series analysis
Bayes theory
Correlation theory of stationary and related random functions
A modern theory of factorial designs
Nonlinear time series : nonparametric and parametric methods
Design of observational studies
Simulation and inference for stochastic differential equations : with R examples
Bayesian and frequentist regression methods
Convergence of stochastic processes
Spatial statistics and modeling
Stochastic orders
Linear and generalized linear mixed models and their applications
Model-based geostatistics
Introduction to variance estimation
Functional data analysis
Combinatorial methods in density estimation
Orthogonal arrays : theory and applications
Reliability, life testing and the prediction of service lives : for engineers and scientists
Mathematical statistics : essays on history and methodology
Monte Carlo and quasi-Monte Carlo sampling
Semiparametric and nonparametric methods in econometrics
Time series : theory and methods
Bayesian nonparametric data analysis
Orthogonal arrays : theory and applications
Statistical inference for ergodic diffusion processes
Statistical analysis of environmental space-time processes
Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
The multivariate normal distribution
Analysis of neural data
Stochastic orders
Nonparametric smoothing and lack-of-fit tests
Targeted learning : causal inference for observational and experimental data
Statistical inference in science
Bayesian reliability
Exact statistical methods for data analysis
Smoothing techniques : with implementation in S
Stochastic climate theory : models and applications
Partial identification of probability distributions
Simulation and inference for stochastic differential equations : with R examples
Applied Bayesian and classical inference : the case of the Federalist papers
Nonparametric functional data analysis : theory and practice
Extremes and related properties of random sequences and processes
Introduction to rare event simulation
ARCH models and financial applications
Elements of multivariate time series analysis
Life distributions : structure of nonparametric, semiparametric, and parametric families
Regression
Asymptotic methods in statistical decision theory
Finite mixture and Markov switching models
Forecasting with exponential smoothing : the state space approach
Principles and theory for data mining and machine learning
Modern multidimensional scaling : theory and applications
Monte Carlo strategies in scientific computing
An introduction to stochastic processes and their applications
Multiple testing procedures with applications to genomics
Parameter estimation and hypothesis testing in spectral analysis of stationary time series
An introduction to statistical modeling of extreme values
Breakthroughs in statistics
Theory of statistical experiments
The elements of statistical learning : data mining, inference, and prediction
Model assisted survey sampling
An introduction to copulas
Statistical decision theory and Bayesian analysis
Modern multidimensional scaling : theory and applications
Exact statistical methods for data analysis
Annotated readings in the history of statistics
Test equating : methods and practices
Longitudinal categorical data analysis
Estimation of dependences based on empirical data
Nonparametric and semiparametric models
Elements of nonlinear time series analysis and forecasting
Multivariate statistical modelling based on generalized linear models
Data : a collection of problems from many fields for the student and research worker
Linear models : least squares and alternatives
Scan statistics
Bayesian survival analysis
Linear models and generalizations : least squares and alternatives
An introduction to stochastic processes and their applications
Targeted learning : causal inference for observational and experimental data
Linear and generalized linear mixed models and their applications
Statistical foundations, reasoning and inference : for science and data science
Subsampling
Ten projects in applied statistics
Weak convergence and empirical processes : with applications to statistics
An introduction to copulas
Semiparametric theory and missing data
Inequalities : theory of majorization and its applications
Weak convergence and empirical processes : with applications to statistics
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