LS Meyers, G Gamst, AJ Guarino - 2016 - books.google.com
Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social …
An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new …
The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply …
Machine learning techniques will contribution towards making Internet of Things (IoT) symmetric applications among the most significant sources of new data in the future. In this …
The series aims to: present current and emerging innovations in GIScience; describe new and robust GIScience methods for use in transdisciplinary problem solving and decision …
A Donmez-Turan, IE Kiliclar - Journal of Cleaner Production, 2021 - Elsevier
The environmental dimension of the concept of sustainability has become a topic that has been frequently researched in the fields of psychology, sociology and organisational …
P Ali, A Younas - Evidence-Based Nursing, 2021 - ebn.bmj.com
Research made simple 10.1136/ebnurs-2021-103425 Introduction A nurse educator is interested in finding out the academic and non-academic predictors of success in nursing …
Research in social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory …
The loss of marine foundation species, in particular kelps at temperate latitudes, has been linked to climatic drivers and co‐occurring human perturbations. Ocean temperature and …