Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statisti
State-of-the-Art Coverage of the Most Widely Used Acceptance Sampling TechniquesCohesively Incorporates Theory and PracticeReflecting the recent resurgence of interest in this field, Acceptance Sampli
Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management sci
The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very
Consolidating theory, methodology, and applications of the logistic distribution, the second edition of this bestseller has been completely revised and updated. Skimming over the early history of the
Through an integrated and comparative approach, Bayesian Likelihood Methods in Ecology and Biology provides a clear guide to the development, application, and interpretation of Bayesian statistical me
Presenting a unique interface between statistics and financial/actuarial topics, this second edition provides a solid background for students preparing for a career in actuarial science. It explores n
Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics
