This third edition explores both the leading software tools, methodology of spatial data analysis and the suite of R, for the analysis of vector and raster data. The books practical coverage of spatial statistics, real-world examples and user-frien...More info...
This book offers a comprehensive exploration of the intricacies involved in conducting statistical analyses on Fused Deposition Modeling (FDM) printed green composites backed by real-world examples....More info...
Statistics in Environmental Monitoring and Assessment details how statistics plays an essential role in every step of an environmental monitoring and assessment program, from the sampling design to the data management, and data analysis methods to e...More info...
User-friendly textbook written with the aim of making easy learning of epidemiological methods and applying them in public health research....More info...
This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environmen...More info...
This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environmen...More info...
Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigor...More info...
This revised edition features contributions from leading cancer trial statisticians, providing expert insights into modern oncology trial design and methodology and provides a comprehensive resource for researchers, clinicians, and statisticians inv...More info...
This book is intended to equip the reader with concept knowledge, on multilinear regression methods, and develop technical skills, while solving problems with the R programming language. It is rather an incentive to do research on advanced models in...More info...
The book highlights how self-different fractals enhance interdisciplinary and transdisciplinary research, blending scientific and artistic research approaches to create productive chaos, shaping governance, academia, and innovation systems to advanc...More info...
This book focuses on ANOVA, multivariate models such as multiple regression, model selection, and reduction techniques, regularization methods like lasso and ridge, logistic regression, K-nearest neighbors (KNN), support vector classifiers, nonlinea...More info...
This book presents detailed theoretical study of Business Analytics including analytical methods from various aspects such as descriptive/predictive analytics, statistical distributions, multivariate statistical analysis, time series analysis, simul...More info...
Offers a working introduction to essential statistical methods that uses an accessible conceptual understanding without excessive mathematical details, emphasizes role of good judgment when choosing analysis approaches - analysis should serve the sc...More info...
This book provides a comprehensive study of numerical techniques for solving integral and integro-differential equations using wavelet-based approximation methods. It combines both theoretical insights and practical applications, focusing on integer...More info...
The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. This book eases you into basic ML concepts and summarises the learning process in three words...More info...
This book focuses on the crucial theme of modern test development and analysis, specifically focusing on bridging the gap between theoretical frameworks and practical applications....More info...
Series: AK Peters/CRC Recreational Mathematics Series
(Pub. Date: 25-Nov-2025, Publisher: Taylor & Francis Ltd, ISBN-13: 9781003530589)
I Wish Theyd Taught Me That: Overlooked and Omitted Topics in Mathematics concerns the topics which every undergraduate mathematics student should know but has probably never encountered....More info...
The book is meant for graduate students, postgraduate students, research scholars, academicians and policymakers to understand business analytics and its application in various business domains....More info...
Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling....More info...
