The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and a...Lasīt vairāk
Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to th...Lasīt vairāk
This book of selected works exhibits a significant part of Carlos A. Coelhos research activity in multivariate statistics, focusing on topics related to likelihood ratio tests. After two introductory chapters, including a biography and an overvie...Lasīt vairāk
Advanced and Multivariate Statistical Methods, Eighth Edition offers conceptual and practical insights into multivariate statistical techniques, designed for students without requiring deep technical or mathematical expertise.This...Lasīt vairāk
Advanced and Multivariate Statistical Methods, Eighth Edition offers conceptual and practical insights into multivariate statistical techniques, designed for students without requiring deep technical or mathematical expertise. ...Lasīt vairāk
This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a wo...Lasīt vairāk
This book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the 43rd Annual Convention of the Indian Societ...Lasīt vairāk
(Izdošanas datums: 01-May-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009221856)
This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents st...Lasīt vairāk
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forest...Lasīt vairāk
This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Through r...Lasīt vairāk
This volume contains the proceedings of the BIRS Workshop Topics in Multiple Time Scale Dynamics, held from November 27- December 2, 2022, at the Banff International Research Station, Banff, Alberta, Canada. The area of multiple-scale dynamics...Lasīt vairāk
This second edition of Applied Multivariate Statistical Concepts, covers the classic and cutting-edge multivariate techniques used in todays research. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks stude...Lasīt vairāk
This self-contained book presents up-to-date hypothesis testing methods for functional data analysis. Useful for statistical researchers and practitioners analyzing functional data, it gives both a theoretical and applied treatment of functional d...Lasīt vairāk
Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous, yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and upd...Lasīt vairāk
