Data science and analysis: general

A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.

A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods.

A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

This compact, entry-level Handbook equips applied practitioners to choose and use core models for real-world data - with R and SAS.

This compact, entry-level Handbook equips applied practitioners to choose and use core models for real-world data - with R and SAS.

This forward-thinking handbook integrates philosophy of science, study design, and contemporary quantitative methods in clinical psychology.

This forward-thinking handbook integrates philosophy of science, study design, and contemporary quantitative methods in clinical psychology.

An updated edition on membrane biology, providing new high resolution structures of membrane proteins and insights into how they function.

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

Leaders, don't let AI get the best of you.

A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "e;language"e; of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods.

A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "e;language"e; of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods.

Explains the rising importance of emerging markets to give a better understanding of current development challenges.

Explains the rising importance of emerging markets to give a better understanding of current development challenges.

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

This volume introduces a new framework for conceptualizing and achieving corpus representativeness in a rigorous, yet practical way.

This volume introduces a new framework for conceptualizing and achieving corpus representativeness in a rigorous, yet practical way.

This book provides a computational and algorithmic foundation for techniques in topological data analysis, with examples and exercises.

This is an integrated introduction to methods, research design, and data analysis tailored to the challenges of cross-cultural research.

This is an integrated introduction to methods, research design, and data analysis tailored to the challenges of cross-cultural research.

An introduction to the complex world of climate models that explains why we should trust their predictions despite the uncertainties.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software.

From measles to COVID, discover how data allied with statistical and probabilistic reasoning are essential to making rational decisions.

Explore how market valuation must abandon linearity to deliver efficient resource allocation.

A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software.

A fascinating exploration of how algorithms penetrate the most intimate aspects of our psychologyfrom the pioneering expert on psychological targeting.

Leading technologists, historians, and journalists reveal the stories behind the computer coding that touches all aspects of life-for better or worseFew of us give much thought to computer code or how it comes to be.

What is the true human cost of the war in Afghanistan?

A revolutionary approach to bringing data and business togetherData is lazy.

A concise, systematic introduction to the principles of analysis of variance for post-graduates and professionals.

This 2001 book presents important and practically relevant quantitative models used for marketing research.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue.

Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general.

This book is concerned with statistical methods for the analysis of data collected from a survey.

This valuable text presents methods and techniques for conducting an animal disease surveillance program, and developing an animal health moitoring system.

Praise forEnvisioning the Survey Interview of the Future "e;This book is an excellent introduction to some brave new technologies .

A complete and comprehensive collaboration providing insight on future approaches to telephone survey methodology Over the past fifteen years, advances in technology have transformed the field of survey methodology, from how interviews are conducted to the management and analysis of compiled data.

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field.

Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues.