Springer series in statistics.

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statistical foundations, reasoning a...
statistical foundations, reasoning and inference
weak convergence and empirical processes
weak convergence and empirical processes
modeling discrete time-to-event data
modeling discrete time-to-event data
ten projects in applied statistics
ten projects in applied statistics
survival analysis :
survival analysis :
subsampling /
subsampling /
distribution-free theory of nonparam...
distribution-free theory of nonparametric regression /
foundations of modern probability
foundations of modern probability
vector generalized linear and additi...
vector generalized linear and additive models
information criteria and statistical...
information criteria and statistical modeling
inference in hidden markov models /
inference in hidden markov models /
finite mixture and markov switching ...
finite mixture and markov switching models /
partial identification of probabilit...
partial identification of probability distributions /
annotated readings in the history of...
annotated readings in the history of statistics /
growth curve models and statistical ...
growth curve models and statistical diagnostics /
forecasting the health of elderly po...
forecasting the health of elderly populations /
sampling algorithms /
sampling algorithms /
bayesian nonparametric data analysis
bayesian nonparametric data analysis
introduction to sequential monte carlo
introduction to sequential monte carlo
bonferroni-type inequalities with ap...
bonferroni-type inequalities with applications /
 
 
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