Beginning in 2006, the Census Bureau embarked on a program to reengineer the Survey of Income and Program Participation (SIPP) to reduce its costs and improve data quality and timeliness.
The Survey of Earned Doctorates (SED) collects data on the number and characteristics of individuals receiving research doctoral degrees from all accredited U.
Intangible assetswhich include computer software, research and development (RD), intellectual property, workforce training, and spending to raise the efficiency and brand identification of firmscomprise a subset of services, which, in turn, accounts for three-quarters of all economic activity.
Improving the Measurement of Late-Life Disability in Population Surveys summarizes a workshop organized to draw upon recent advances to improve the measurement of physical and cognitive disability in population surveys of the elderly population.
Beginning in 2006, the Census Bureau embarked on a program to reengineer the Survey of Income and Program Participation (SIPP) to reduce its costs and improve data quality and timeliness.
Many racial and ethnic groups in the United States, including blacks, Hispanics, Asians, American Indians, and others, have historically faced severe discriminationpervasive and open denial of civil, social, political, educational, and economic opportunities.
Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration.
In March 2008, the Committee on National Statistics of the National Academies held a workshop to assist the Bureau of Economic Analysis (BEA) with next steps as it develops plans to produce a satellite health care account.
Designed to protect the privacy of individual student test scores, grades, and other education records, the Family Educational Rights and Privacy Act (FERPA) of 1974 places limits the access of educational researches, and slows research not only in education but also in related fields, such as child welfare and health.
The stability of the financial system and the potential for systemic events to alter its function have long been critical issues for central bankers and researchers.
This book explores the governance of smart cities from a holistic approach, arguing that the creation of smart cities must consider the specific circumstances of each country to improve the preservation, revitalisation, liveability, and sustainability of urban areas.
An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically.
When digital content and technologies are designed in a way that is inaccessible for persons with disabilities, they are locked out of commerce, education, employment, and access to government information.
When digital content and technologies are designed in a way that is inaccessible for persons with disabilities, they are locked out of commerce, education, employment, and access to government information.
The Scholarship of Teaching and Learning: A Guide for Scientists, Engineers, and Mathematicians shows college and university faculty members how to draw on their disciplinary knowledge and teaching experience to investigate questions about student learning.
The Scholarship of Teaching and Learning: A Guide for Scientists, Engineers, and Mathematicians shows college and university faculty members how to draw on their disciplinary knowledge and teaching experience to investigate questions about student learning.
After twenty-five years of preparation, the Large Hadron Collider at CERN, Geneva, is finally running its intensive scientific experiments into high-energy particle physics.
After twenty-five years of preparation, the Large Hadron Collider at CERN, Geneva, is finally running its intensive scientific experiments into high-energy particle physics.
Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences.
Arthur Koestler's extraordinary history of humanity's changing vision of the universeIn this masterly synthesis, Arthur Koestler cuts through the sterile distinction between 'sciences' and 'humanities' to bring to life the whole history of cosmology from the Babylonians to Newton.
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data.
Neurofeedback: The First Fifty Years features broadly recognized pioneers in the field sharing their views and contributions on the history of neurofeedback.
EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions.
Arithmetic disability stems from deficits in neurodevelopment, with great individual differences in development or function of an individual at neuroanatomical, neuropsychological, behavioral, and interactional levels.
The Neuromodulation Casebook is a case-based volume for practical, hands-on decision-making using realistic case examples from the field of neuromodulation.
Essential Neuromodulation, Second Edition is a concise reference covering all of the basic principles of neuromodulation in a single affordable volume for neuroscientists, residents, fellows, bioengineers and basic clinical practitioners.
Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data.
The artificial intelligence of robots capable of learning from their errors and modifying their behavior accordingly is modeled on the activity of neurons in the brain.
