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Designing Better Futures
Designing better futures is a book that confronts the greatest question of our times and arguably the greatest question facing humanity; "how can cities and organizations, some with growing populations and all with aspirational ideals, navigate the turbulence and live within the constraints of the planet, while at the same time creating futures that are demonstrably better than what exists now?" What makes this book interesting is not just the challenge it poses but the roadmap it provides to help build appropriate solutions and more coherent actions than would otherwise have been the case." Designing better futures is for corporate leaders, policy makers and intelligent readers who understa...
U. S. Army Register
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U.S. Army Register
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Data Science for Neuroimaging
Data science methods and tools—including programming, data management, visualization, and machine learning—and their application to neuroimaging research As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales. Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice. This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data. Through guided, hands-on explorations...
The American Psychologist
Includes proceedings of the 54th-55th annual meetings of the association, 1946-47 and proceedings of meetings of various regional psychological associations.
Current Topics in the Theory and Application of Latent Variable Models
This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two sections, although several chapters cross these content boundaries. Part one focuses on complexities which involve the adaptation of latent variables models in research problems where real-world conditions do not match conventional assumptions. Chapters in this section cover issue...
SEC Docket
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Year Book
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