Author: United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Oversight and InvestigationsPublisher:
ISBN:
Category : Science
Languages : en
Pages : 880
Book Description
Questions Surrounding the 'hockey Stick' Temperature Studies
Author: United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Oversight and InvestigationsPublisher:
ISBN:
Category : Science
Languages : en
Pages : 880
Book Description
Representative Time Use Data and Calibration of the American Time Use Studies 1965 - 1999
Author: Joachim MerzFederal Register
Author: Monthly Weather Review
Author: The Journal of the Acoustical Society of America
Author: Acoustical Society of AmericaPublisher:
ISBN:
Category : Acoustical engineering
Languages : en
Pages : 1758
Book Description
The Shock and Vibration Bulletin
Author: Cumulated Index Medicus
Author: Time Use
Author: William H. MichelsonPublisher: Routledge
ISBN: 1317250400
Category : Social Science
Languages : en
Pages : 255
Book Description
Many researchers have studied people's everyday use of time. National and international agencies increasingly collect and analyze time-use data. Yet this perspective and its techniques remain a black box to most social science researchers and applied practitioners, and the potential of time-use data to expand explanation in the social sciences is not fully recognized by even most time-use researchers. Sociologist William Michelson's unique book places the study of time-use data in perspective, demystifies its collection and analytic options, and carefully examines the potential of time-use analysis for a wide range of benefits to the social sciences. These include the sampling of otherwise socially "hidden" groups, bridging the gap between qualitative and quantitative phenomena, gender studies, family dynamics, multitasking, social networks, built environments, and risk exposure.
Complex Survey Data Analysis with SAS
Author: Taylor H. LewisPublisher: CRC Press
ISBN: 1315349779
Category : Mathematics
Languages : en
Pages : 223
Book Description
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the assumptions underlying most traditional statistical techniques, this book equips readers with the knowledge to confidently account for them during the estimation and inference process by employing the SURVEY family of SAS/STAT® procedures. The book offers comprehensive coverage of the most essential topics, including: Drawing random samples Descriptive statistics for continuous and categorical variables Fitting and interpreting linear and logistic regression models Survival analysis Domain estimation Replication variance estimation methods Weight adjustment and imputation methods for handling missing data The easy-to-follow examples are drawn from real-world survey data sets spanning multiple disciplines, all of which can be downloaded for free along with syntax files from the author’s website: http://mason.gmu.edu/~tlewis18/. While other books may touch on some of the same issues and nuances of complex survey data analysis, none features SAS exclusively and as exhaustively. Another unique aspect of this book is its abundance of handy workarounds for certain techniques not yet supported as of SAS Version 9.4, such as the ratio estimator for a total and the bootstrap for variance estimation. Taylor H. Lewis is a PhD graduate of the Joint Program in Survey Methodology at the University of Maryland, College Park, and an adjunct professor in the George Mason University Department of Statistics. An avid SAS user for 15 years, he is a SAS Certified Advanced programmer and a nationally recognized SAS educator who has produced dozens of papers and workshops illustrating how to efficiently and effectively conduct statistical analyses using SAS.
Atmospheric Satellite Observations
Author: Xiaolei ZouPublisher: Academic Press
ISBN: 0128209534
Category : Science
Languages : en
Pages : 325
Book Description
Atmospheric Satellite Observations: Variation Assimilation and Quality Assurance provides an invaluable reference for satellite data assimilation. Topics covered include linear algebra, frequently used statistical methods, the interpolation role of function fitting, filtering when dealing with real observations, minimization in data assimilation systems, 3D-Var and the inverse problem it solves, 4D-Var and adjoint techniques, and much more. The book concludes with satellite observation of hurricanes. - Contains mathematical concepts from several branches of study, including calculus, linear algebra, probability theory, functional analysis, and minimization - Illustrates quality assurance for satellite observations using real data examples - Includes a dedicated chapter on how different satellite instruments see hurricanes - Reviews theory, system development, and the numerical experiments of three- and four-dimensional variational data assimilation (3D-Var/4D-Var)