finite population sampling and infer...
|
|
finite population sampling and inference : a prediction approach
|
statistical analysis of designed exp...
|
|
statistical analysis of designed experiments : theory and applications
|
time series : applications to finance
|
|
time series : applications to finance
|
introduction to time series analysis...
|
|
introduction to time series analysis and forecasting
|
meta analysis : a guide to calibrati...
|
|
meta analysis : a guide to calibrating and combining statistical evidence
|
regression analysis by example
|
|
regression analysis by example
|
elements of applied stochastic processes
|
|
elements of applied stochastic processes
|
experiments : planning, analysis, an...
|
|
experiments : planning, analysis, and optimization
|
methods and applications of linear m...
|
|
methods and applications of linear models : regression and the analysis of variance
|
foundations of time series analysis ...
|
|
foundations of time series analysis and prediction theory
|
sampling of populations : methods an...
|
|
sampling of populations : methods and applications
|
applied regression including computi...
|
|
applied regression including computing and graphics
|
subjective and objective bayesian st...
|
|
subjective and objective bayesian statistics : principles, models, and applications
|
introduction to statistical time series
|
|
introduction to statistical time series
|
generalized linear models : with app...
|
|
generalized linear models : with applications in engineering and the sciences
|
robust statistics : theory and methods
|
|
robust statistics : theory and methods
|
advanced calculus with applications ...
|
|
advanced calculus with applications in statistics
|
linear regression analysis
|
|
linear regression analysis
|
applied manova and discriminant analysis
|
|
applied manova and discriminant analysis
|
random data : analysis and measureme...
|
|
random data : analysis and measurement procedures
|