Highly praised for its exceptional clarity, technical accuracy, and useful examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, Seventh Edition, introduces fundamental statistical concepts with an e
A self-contained introduction to the theory and applications of Bayesian Networks Bayesian networks are a topic of interest and importance for statisticians, computer scientists and those involved
Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal dec
In this new and expanding area, Tony Lancaster’s text is the first comprehensive introduction to the Bayesian way of doing applied economics. Uses clear explanations and practical illustrations and pr
Nonparametric and semiparametric statistical methods are attractive to researchers in a large number of fields, including pharmaceuticals, medical and public health centers, financial institutions, an
This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computational
Introduction to Statistics Using R is organized into 13 major chapters.Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-
This introduction to statistics integrated with STATA and SPSS offers an accessible overview for students in sociology, political science, criminal justice and other social sciences
This introduction to statistics integrated with STATA and SPSS offers an accessible overview for students in sociology, political science, criminal justice and other social sciences
