Probability & Statistics

Until fairly recently, populations were handled as homogenized averages, which made modeling feasible but which ignored the essential fact that in ...

Sharpening Your Advanced SAS® Skills presents sophisticated SAS programming techniques, procedures, and tools, such as Proc SQL, hash tables, and S...

The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal polici...

Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or b...

Statistically Speaking is a book of quotations. It brings together the best expressed thoughts that are especially illuminating and pertinent to th...

With contributions from some of the top academics and scientists in the field, Advanced Studies in Multi-Criteria Decision Making presents an updat...

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel stat...

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytic...

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the...

This text provides a through, straightforward first course on basics statistics. Emphasizing the application of theory, it contains 200 fully worke...

This primer has been designed as a self-instructional text which serves to introduce the reader to both the principles of statistical modelling of ...

Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a conve...

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLA...

This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including ran...

A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on de...

Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using bo...

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a ma...

Updated throughout for the second edition, Introduction to Mechanical Engineering: Part 1 continues to be the essential text for all first-year und...

Select the Optimal Model for Interpreting Multivariate DataIntroduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivari...

A Training Tool for the Environmental Risk ProfessionalEnvironmental Risk Analysis: Probability Distribution Calculations defines the role that pro...

Special functions play a very important role in solving various families of ordinary and partial differential equations as well as their fractional...

This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successf...

This book presents a broad range of regression models including count regression models, constrained and penalised regression models such as ridge,...

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective ...