Does the use of ChatGPT to practice homework problems improve scores? Were mask mandates motivated by politics during the COVID-19 pandemic? Are there differences in education levels among men and women who use online dating applications? Do student...Loe edasi...
Author Doug Gray shares the most important lessons he has learned over the course of his 30+ year career in analytics and technology. Readers will witness the Analytical Sciences profession through the eye of a practitioner who has delivered solut...Loe edasi...
Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies. Through a series of article...Loe edasi...
This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB® to integrate several approaches to data analysis and statistics.Chapters offer a broad review of compu...Loe edasi...
This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB® to integrate several approaches to data analysis and statistics.Chapters offer a broad review of compu...Loe edasi...
Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde
Sari: Springer Proceedings in Mathematics & Statistics
(Ilmumisaeg: 17-Oct-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031656989)
This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers a...Loe edasi...
This book navigates the crisscrossing of intelligent technology and legal field in building up new landscape of transformation. It analyses deep learning techniques and its scope in accelerating legal analytics in countries & provides in-depth ana...Loe edasi...
Epilepsy is a field of neurology centered on the evaluation and treatment of zero-inflated, seemingly random, and highly consequential events linked to high dimensional data over long- time scales and sparsely collected spatial data. Statistical met...Loe edasi...
Data Analytics in Football provides students, researchers, and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how they can be collected, mode...Loe edasi...
Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how it can be collected, modelle...Loe edasi...
Michael A. Long, Paul B. Stretesky, Kenneth J. Berry, Janis E. Johnston, Michael J. Lynch
(Ilmumisaeg: 23-Nov-2023, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009123075)
Benfords Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of this in the social sciences to assess the validity of self-reported data, using a new measu...Loe edasi...
Benfords Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of this in the social sciences to assess the validity of self-reported data, using a new measu...Loe edasi...
This textbook presents methods of data analysis and uncertainty estimation based on classical statistics whilst including the use of robust statistics, Monte Carlo modelling, informational criteria, and non-statistical methods. Related computer prog...Loe edasi...
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where tradit...Loe edasi...
This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is wel...Loe edasi...
This book serves as a foundational text in everyday mathematics in a way that is both engaging and practically useful. The book seeks to teach the mathematics needed to start to answer fundamental questions like ‘why’ or ‘how’. ...Loe edasi...
This book navigates the crisscrossing of intelligent technology and legal field in building up new landscape of transformation. It analyses deep learning techniques and its scope in accelerating legal analytics in countries & provides in-depth ana...Loe edasi...
An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics with accessible language and detailed...Loe edasi...
A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity scor...Loe edasi...
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data...Loe edasi...
