語系:
繁體中文
English
說明(常見問題)
登入
Springer series in statistics
Titles
statistical learning from a regressi...
statistical learning from a regression perspective
inference in hidden markov models
inference in hidden markov models
modeling discrete time-to-event data
modeling discrete time-to-event data
prior processes and their applications
prior processes and their applications
weak convergence and empirical processes
targeted learning
targeted learning
functional and shape data analysis
functional and shape data analysis
dynamic data analysis
dynamic data analysis
design of observational studies
design of observational studies
design and analysis of computer expe...
design and analysis of computer experiments
forecasting with exponential smoothing
forecasting with exponential smoothing
bayesian nonparametric data analysis
bayesian nonparametric data analysis
inference for functional data with a...
inference for functional data with applications
statistical analysis of network data
statistical analysis of network data
elements of nonlinear time series an...
elements of nonlinear time series analysis and forecasting
models for discrete longitudinal data
models for discrete longitudinal data
introduction to empirical processes ...
introduction to empirical processes and semiparametric inference
dynamic mixed models for familial lo...
dynamic mixed models for familial longitudinal data
statistical demography and forecasting
statistical demography and forecasting
linear models and generalizations
linear models and generalizations
inequalities
inequalities
modeling discrete time-to-event data
modeling discrete time-to-event data
targeted learning in data science
targeted learning in data science
nonlinear time series
nonlinear time series
semiparametric and nonparametric met...
semiparametric and nonparametric methods in econometrics
linear model and hypothesis
linear model and hypothesis
mathematical statistics
mathematical statistics
markov bases in algebraic statistics
markov bases in algebraic statistics
targeted learning in data science
targeted learning in data science
linear and generalized linear mixed ...
linear and generalized linear mixed models and their applications
partial identification of probabilit...
partial identification of probability distributions
statistical tools for nonlinear regr...
statistical tools for nonlinear regression
elements of statistical learning
elements of statistical learning
regression modeling strategies
regression modeling strategies
ten projects in applied statistics
vector generalized linear and additi...
vector generalized linear and additive models
permutation, parametric and bootstra...
permutation, parametric and bootstrap tests of hypotheses
introduction to nonparametric estimation
introduction to nonparametric estimation
shrinkage estimation
shrinkage estimation
shrinkage estimation
shrinkage estimation
multivariate analysis with lisrel
multivariate analysis with lisrel
bayesian and frequentist regression ...
bayesian and frequentist regression methods
statistical analysis with measuremen...
statistical analysis with measurement error or misclassification
linear model and hypothesis
linear model and hypothesis
monte carlo and quasi-monte carlo sa...
monte carlo and quasi-monte carlo sampling
gini methodology
gini methodology
smoothing spline anova models
smoothing spline anova models
statistical foundations, reasoning a...
statistical foundations, reasoning and inference
functional and shape data analysis
functional and shape data analysis
analysis of neural data
analysis of neural data
prior processes and their applications
prior processes and their applications
modern multidimensional scaling
modern multidimensional scaling
applied compositional data analysis
applied compositional data analysis
functional data analysis
functional data analysis
vector generalized linear and additi...
vector generalized linear and additive models
regression modeling strategies
regression modeling strategies
rank and pseudo-rank procedures for ...
rank and pseudo-rank procedures for independent observations in factorial designs
introduction to sequential monte carlo
introduction to sequential monte carlo
multivariate analysis with lisrel
multivariate analysis with lisrel
sequential experimentation in clinic...
sequential experimentation in clinical trials
statistical decision theory
statistical decision theory
statistics for high-dimensional data
statistics for high-dimensional data
simulation and inference for stochas...
simulation and inference for stochastic differential equations
bayesian reliability
bayesian reliability
applied compositional data analysis
applied compositional data analysis
information criteria and statistical...
information criteria and statistical modeling
design and analysis of computer expe...
design and analysis of computer experiments
bayesian nonparametrics
bayesian nonparametrics
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入