國立虎尾科技大學 |

probability: a graduate course

modeling longitudinal data

testing statistical hypotheses

r and s-plus companion to multivaria...

r and s-plus companion to multivariate analysis

modern introduction to probability a...

modern introduction to probability and statistics

studying human populations

asymptotic theory of statistics and ...

asymptotic theory of statistics and probability

statistical models and methods for f...

statistical models and methods for financial markets

modern multivariate statistical tech...

modern multivariate statistical techniques

intermediate course in probability

introduction to modeling and analysi...

introduction to modeling and analysis of stochastic systems

statistics and data analysis for fin...

statistics and data analysis for financial engineering

statistics for bioengineering sciences

probability for statistics and machi...

probability for statistics and machine learning

plane answers to complex questions

statistical analysis of designed exp...

statistical analysis of designed experiments

essentials of stochastic processes

modern mathematical statistics with ...

modern mathematical statistics with applications

modern approach to regression with r

bayesian essentials with r

basics of modern mathematical statistics

statistical analysis of financial da...

statistical analysis of financial data in r

basics of modern mathematical statistics

statistical analysis and data display

probability

applied bayesian statistics

linear mixed-effects models using r

essential statistical inference

optimization

introduction to statistical learning

statistics and data analysis for fin...

statistics and data analysis for financial engineering :

statistical methods for quality assu...

statistical methods for quality assurance

course in mathematical statistics an...

course in mathematical statistics and large sample theory

introduction to time series and fore...

introduction to time series and forecasting

statistical learning from a regressi...

statistical learning from a regression perspective

essentials of stochastic processes

probability with applications in eng...

probability with applications in engineering, science, and technology

design and analysis of experiments

intuitive introductory statistics

matrix algebra

probability for statisticians

statistical data analysis using sas

lectures on categorical data analysis

generalized linear models with examp...

generalized linear models with examples in r

time series analysis and its applica...

time series analysis and its applications

graduate course on statistical inference

basics of modern mathematical statistics

statistical analysis and data display

statistics and data analysis for fin...

statistics and data analysis for financial engineering

course in mathematical statistics an...

course in mathematical statistics and large sample theory

essentials of stochastic processes

statistical methods for quality assu...

statistical methods for quality assurance

introduction to time series and fore...

introduction to time series and forecasting

statistical learning from a regressi...

statistical learning from a regression perspective

generalized linear models with examp...

generalized linear models with examples in r

statistical data analysis using sas

lectures on categorical data analysis

advanced linear modeling

graduate course on statistical inference

plane answers to complex questions

statistical learning from a regressi...

statistical learning from a regression perspective

statistics for health data science

introduction to statistical learning

modern mathematical statistics with ...

modern mathematical statistics with applications

bayesian inference of state space models

bayes factors for forensic decision analyses with r

testing statistical hypotheses

fundamentals of high-dimensional statistics

large sample techniques for statistics

introduction to statistical learning

Springer Texts in Statistics,