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Lecture notes in statistics,
書目資訊
nonparametric monte carlo tests and ...
nonparametric monte carlo tests and their applications
estimation in conditionally heterosc...
estimation in conditionally heteroscedastic time series models
space, structure and randomness
space, structure and randomness
inference for change point and post ...
inference for change point and post change means after a cusum test
semi-markov chains and hidden semi-m...
semi-markov chains and hidden semi-markov models toward applications
ccomputation of multivariate normal ...
ccomputation of multivariate normal and t probabilities
inverse problems and high-dimensiona...
inverse problems and high-dimensional estimation
generalized estimating equations
generalized estimating equations
synthetic datasets for statistical d...
synthetic datasets for statistical disclosure control
deconvolution problems in nonparamet...
deconvolution problems in nonparametric statistics
probability approximations and beyond
probability approximations and beyond
advances and challenges in space-tim...
advances and challenges in space-time modelling of natural events
permutation tests for stochastic ord...
permutation tests for stochastic ordering and anova
nonlinear system identification by h...
nonlinear system identification by haar wavelets
proceedings of the fourth seattle sy...
proceedings of the fourth seattle symposium in biostatistics: clinical trials
design of experiments in nonlinear m...
design of experiments in nonlinear models
stochastic orders in reliability and...
stochastic orders in reliability and risk
copulae in mathematical and quantita...
copulae in mathematical and quantitative finance
iss-2012 proceedings volume on longi...
iss-2012 proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers
risk assessment and evaluation of pr...
risk assessment and evaluation of predictions
heavy-tailed distributions and robus...
heavy-tailed distributions and robustness in economics and finance /
advances and challenges in parametri...
advances and challenges in parametric and semi-parametric analysis for correlated data
branching processes and their applic...
branching processes and their applications
bilinear regression analysis
bilinear regression analysis
theory and application of uniform ex...
theory and application of uniform experimental designs
analyzing dependent data with vine c...
analyzing dependent data with vine copulas
heavy-tailed distributions and robus...
heavy-tailed distributions and robustness in economics and finance
bilinear regression analysis
bilinear regression analysis
theory and application of uniform ex...
theory and application of uniform experimental designs
finite form representations for meij...
finite form representations for meijer g and fox h functions
analyzing dependent data with vine c...
analyzing dependent data with vine copulas
time series models
multivariate reduced-rank regression
optimal experimental design
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