Small area estimation is any of several statistical techniques involving the estimation of parameters for small sub-populations, generally used when the...

small area estimation in which there is a lot of data overall, but not much for each subgroup. The subgroups are determined in advance of estimation and...

Fay-Herriot model used for small area estimation. Bühlmann model Hierarchical linear modeling Fixed effects MINQUE Covariance estimation Conditional variance...

(June 2007). Income Poverty at District Level: An Application of Small Area Estimation Technique (PDF) (Report). Social Policy and Development Centre....

sequential analysis, decision theory, Bayesian statistics and small-area estimation. As a recognition of his seminal contributions, Ghosh served from...

Rachel Margaret Harter is an American statistician and an expert in small area estimation and survey methodology. Until 2024, she worked at RTI International...

distribution Slice sampling Sliced inverse regression Slutsky's theorem Small area estimation Smearing retransformation Smoothing Smoothing spline Smoothness...

color area. Newer systems, such as the PAWPER tape, make use of a simple two-step process to estimate weight: the length-based weight estimation is modified...

(June 2007). Income Poverty at District Level: An Application of Small Area Estimation Technique (PDF) (Report). Social Policy and Development Centre....

In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image...

statistician who has worked in agricultural and official statistics, small area estimation, and survey methodology. She is an associate vice president for...

C̜etinkaya, Mine (2011). Estimating the impact of air pollution using small area estimation. ucla.edu (PhD thesis). University of California, Los Angeles. OCLC 781649608...

mark-recapture, sight-resight, mark-release-recapture, multiple systems estimation, band recovery, the Petersen method, and the Lincoln method. Another major...

methods for human genome data Rachel M. Harter, American expert on small area estimation and survey methodology Dominique Haughton, French-American statistician...

estimations of causes of death worldwide, the incidence of HIV, TB, and malaria, as well as obesity, cigarette smoking, heart disease, and small area...

in spatial analysis, spatio-temporal analysis, epidemiology, and small area estimation. She is a professor in the Statistics, Computer Science, and Mathematics...

ISBN 978-0-7546-7647-8 Rahman, Azizur; Harding, Ann (15 November 2015), Small area estimation and microsimulation modelling, CRC Press, Taylor & Francis Group...

C̜etinkaya, Mine (2011). Estimating the impact of air pollution using small area estimation. ucla.edu (PhD thesis). University of California, Los Angeles. OCLC 781649608...

Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental...

Statistical Area, is an area consisting of six counties in central South Carolina, anchored by the city of Columbia. The current population has an estimation of...

data, and often for density estimation: estimating the probability density function of the underlying variable. The total area of a histogram used for probability...

in Ethiopia, 2010-2011| (Kater, 2000). Sohnesen, Thomas et al. "Small area estimation of child undernutrition in Ethiopian woredas" PLOS ONE https://doi...

parameters listed under Small Signal Parameters are more practical: S d {\displaystyle S_{\rm {d}}} – Equivalent piston area of the driver diaphragm,...

V.B , Mehta J.S, Tavlas George S., and Stephen G. Hall (2013) "Small Area Estimation with Correctly Specified Linking Models," Recent Advances in Estimating...

across multiple days. Topics include Multiple Imputation Analysis, Small Area Estimation, Statistical Leadership, Practical Bayesian Computation, and Communicating...

length information of interrupted chains, and thus reduce the bias in the estimation of average degrees of separation. One of the key features of Milgram's...

representation of objects as interconnections of smaller structures, optical flow, and motion estimation. The next decade saw studies based on more rigorous...

fading, and power decay with distance. The method is called channel estimation. The CSI makes it possible to adapt transmissions to current channel conditions...

Ahmed; Nida Anwar (June 2011). "A Fuzzy Inference System for Synergy Estimation of Simultaneous Emotion Dynamics in Agents". International Journal of...

table, or in some other way. Mathematics portal A/B testing, ABX test Estimation statistics Fisher's method for combining independent tests of significance...