This is a history of parametric statistical inference, written by one of the most important historians of statistics of the ...
Lee masMost data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined ...
Lee masAnalysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application ...
Lee masThis book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...
Lee masGeometric Data Analysis (GDA) is the name suggested by Stanford University to designate the approach to Multivariate Statistics ...
Lee masR is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...
Lee masThis book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
Lee masThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
Lee masPROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial ...
Lee masThis book explains in detail, with supporting examples, one of the most common statistical methods: regression. The first ...
Lee masThis book is an integrated treatment of applied statistical methods, presented at an intermediate level, and the SAS programming ...
Lee masThis book brings together accounts by leading international experts that are essential reading for those working in fields ...
Lee masAlthough statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in ...
Lee masThis book explains classical statistical analyses of clinical trials,andaddresses relatively novel issues, including equivalence ...
Lee masThe second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version ...
Lee mas