Published January 23, 2003
by Wiley-Interscience .
Written in English
|The Physical Object|
|Number of Pages||344|
Jan 09, · (Short Book Reviews, ) "This book will help to advance the subject and be a valuable resource for practitioners and theorists.” (Statistics in Transition, November ) "This book is essential to any basic library on small estimation. 6. Small-Area Estimation. FINDING THE BOUNDARIES: WHEN DO DIRECT SURVEY ESTIMATES MEET SMALL-AREA NEEDS? This session focused on the topic of producing estimates in situations in which only a small amount of information is available or there are other limitations, such as physical, temporal, or conceptual boundaries that make direct estimation difficult. "The book aims at introducing modern statistical small area estimation methodologies into the framework of spatial microsimulation modelling for a comprehensive presentation, providing a novel approach with much potential in comparative social research and regional statistics imeldaclyde.com by: 4. Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.
Feb 25, · An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and. Read chapter 5 Small-Area Estimation: National Patterns of R&D Resources is an annual report issued by the National Center for Science and Engineering Sta. Small area estimation is any of several statistical techniques involving the estimation of parameters for small sub-populations, generally used when the sub-population of interest is included in a larger survey. The term "small area" in this context generally refers to a small geographical area such as a county. Feb 23, · Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty Author: Monica Pratesi.
Small Area Estimation. Motivation: Small area estimation is important in light of a continual demand by data users for finer geographic detail of published statistics and for various imeldaclyde.comional demographic sample surveys designed for national estimates do not provide large enough samples to produce reliable direct estimates for small areas such as counties and even most states. Dec 14, · Purpose To familiarize participants with traditional and model-based methods for small area estimation and their application. Benefits to participant Participants will gain an understanding of the methods for small area estimation, a topic of practical and theoretical interest due to growing demands for reliable small area statistics. The main strength of this book is the presentation of case studies and each chapter offers a reasonable number of exercises. Overall, it is well written book, which make a pleasant reading, indeed and I recommend it survey statisticians and those readers interested in the field of . Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with desc.