Springer Series in Statistics,

書目資訊
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spatial statistics and modeling
spatial statistics and modeling
inequalities
inequalities
modeling discrete time-to-event data
modeling discrete time-to-event data
statistical foundations, reasoning a...
statistical foundations, reasoning and inference
introduction to nonparametric estimation
introduction to nonparametric estimation
permutation, parametric and bootstra...
permutation, parametric and bootstrap tests of hypotheses
inference in hidden markov models
inference in hidden markov models
ten projects in applied statistics
ten projects in applied statistics
weak convergence and empirical processes
weak convergence and empirical processes
semiparametric and nonparametric met...
semiparametric and nonparametric methods in econometrics
comparison of the bayesian and frequ...
comparison of the bayesian and frequentist approaches to estimation
elements of statistical learning
elements of statistical learning
information criteria and statistical...
information criteria and statistical modeling
vector generalized linear and additi...
vector generalized linear and additive models
comparing distributions
comparing distributions
design of observational studies
design of observational studies
markov bases in algebraic statistics
markov bases in algebraic statistics
bayesian nonparametric data analysis
bayesian nonparametric data analysis
modern multidimensional scaling
modern multidimensional scaling
linear models and generalizations
linear models and generalizations
 
 
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