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Springer series in statistics
書目資訊
permutation, parametric and bootstra...
permutation, parametric and bootstrap tests of hypotheses
statistical demography and forecasting
statistical demography and forecasting
models for discrete longitudinal data
models for discrete longitudinal data
functional data analysis
functional data analysis
inference in hidden markov models
inference in hidden markov models
modern multidimensional scaling
modern multidimensional scaling
linear models and generalizations
linear models and generalizations
introduction to empirical processes ...
introduction to empirical processes and semiparametric inference
statistical learning from a regressi...
statistical learning from a regression perspective
forecasting with exponential smoothing
forecasting with exponential smoothing
statistical decision theory
statistical decision theory
semiparametric and nonparametric met...
semiparametric and nonparametric methods in econometrics
inequalities
inequalities
dynamic mixed models for familial lo...
dynamic mixed models for familial longitudinal data
statistics for high-dimensional data
statistics for high-dimensional data
targeted learning
targeted learning
information criteria and statistical...
information criteria and statistical modeling
bayesian reliability
bayesian reliability
markov bases in algebraic statistics
markov bases in algebraic statistics
inference for functional data with a...
inference for functional data with applications
bayesian nonparametrics
bayesian nonparametrics
nonlinear time series
nonlinear time series
partial identification of probabilit...
partial identification of probability distributions
statistical tools for nonlinear regr...
statistical tools for nonlinear regression
introduction to nonparametric estimation
introduction to nonparametric estimation
monte carlo and quasi-monte carlo sa...
monte carlo and quasi-monte carlo sampling
elements of statistical learning
elements of statistical learning
statistical analysis of network data
statistical analysis of network data
simulation and inference for stochas...
simulation and inference for stochastic differential equations
analysis of neural data
analysis of neural data
regression modeling strategies
regression modeling strategies
vector generalized linear and additi...
vector generalized linear and additive models
linear model and hypothesis
linear model and hypothesis
gini methodology
gini methodology
sequential experimentation in clinic...
sequential experimentation in clinical trials
bayesian and frequentist regression ...
bayesian and frequentist regression methods
smoothing spline anova models
smoothing spline anova models
modeling discrete time-to-event data
modeling discrete time-to-event data
prior processes and their applications
prior processes and their applications
functional and shape data analysis
functional and shape data analysis
multivariate analysis with lisrel
multivariate analysis with lisrel
elements of nonlinear time series an...
elements of nonlinear time series analysis and forecasting
mathematical statistics
mathematical statistics
dynamic data analysis
dynamic data analysis
statistical analysis with measuremen...
statistical analysis with measurement error or misclassification
targeted learning in data science
targeted learning in data science
applied compositional data analysis
applied compositional data analysis
shrinkage estimation
shrinkage estimation
design and analysis of computer expe...
design and analysis of computer experiments
bayesian nonparametric data analysis
bayesian nonparametric data analysis
linear model and hypothesis
linear model and hypothesis
vector generalized linear and additi...
vector generalized linear and additive models
regression modeling strategies
regression modeling strategies
prior processes and their applications
prior processes and their applications
modeling discrete time-to-event data
modeling discrete time-to-event data
functional and shape data analysis
functional and shape data analysis
multivariate analysis with lisrel
multivariate analysis with lisrel
design and analysis of computer expe...
design and analysis of computer experiments
applied compositional data analysis
applied compositional data analysis
shrinkage estimation
shrinkage estimation
rank and pseudo-rank procedures for ...
rank and pseudo-rank procedures for independent observations in factorial designs
targeted learning in data science
targeted learning in data science
design of observational studies
design of observational studies
introduction to sequential monte carlo
introduction to sequential monte carlo
linear and generalized linear mixed ...
linear and generalized linear mixed models and their applications
statistical foundations, reasoning a...
statistical foundations, reasoning and inference
ten projects in applied statistics
weak convergence and empirical processes
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