The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both ...
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. W...
In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work pre...
This book explains how to use stated preference survey methods to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introdu...
This book provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as adva...
It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychomet...
This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including i...
This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including i...
The book studies in detail the Poisson process, which is the most frequently applied stochastic process in a variety of fields, with its extension to a renewal process.The book als...
