Results 241 to 250 of about 178,636 (293)

Toward a Principled Workflow for Prevalence Mapping Using Household Survey Data. [PDF]

J Surv Stat Methodol
Dong Q, Wu Y, Li ZR, Wakefield J.
europepmc   +1 more source

Efficient median estimation for stratified multi-population data: health services, medical workforce, and medical education. [PDF]

BMC Med Res Methodol
Daraz U, Aljohani HM, Alshanbari HM.
europepmc   +1 more source

mRNALocator-imb: an imbalance-tolerant ensemble framework integrating random forest and transformer for mRNA subcellular localization prediction. [PDF]

Front Genet
Hu J, Liu H, Wang L, Wu H.
europepmc   +1 more source

Machine learning based variance estimation under two phase sampling using health and education sector data. [PDF]

Sci Rep
Al-Marzouki S, Nafisah IA, Dalam MEE, Iqbal K, Sami F, Almazah MMA.   +5 more
europepmc   +1 more source

Calibration Weighting in Stratified Random Sampling

Communications in Statistics - Simulation and Computation, 2014
A new calibration estimator is proposed to estimate the population mean in the stratified random sampling. The corrected expression of Tracy et al. (2003) calibrated weights are presented and new improved calibration weights are introduced. Theoretical variance of the suggested estimator is discussed.
Nursel Koyuncu, Cem Kadilar
openaire   +2 more sources

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Ratio Estimators in Stratified Random Sampling

Biometrical Journal, 2003
AbstractThis paper considers some ratio‐type estimators and their properties are studied in stratified random sampling. The results are supported by an application with original data.
Cem Kadilar
exaly   +2 more sources

An improved estimation in stratified random sampling

Communications in Statistics - Theory and Methods, 2016
ABSTRACTThe article suggests a class of estimators of population mean in stratified random sampling using auxiliary information with its properties. In addition, various known estimators/classes of estimators are identified as members of the suggested class.
Sarjinder Singh
exaly   +2 more sources

Ratio estimators using stratified random sampling and stratified ranked set sampling

Life Cycle Reliability and Safety Engineering, 2018
The aim of present study is to propose ratio estimators for the population mean using auxiliary information efficiently under stratified random sampling (SRS) and stratified ranked set sampling (SRSS). Here, bias and mean square error (MSE) for the proposed estimators have been obtained and find that the proposed estimator under SRSS is more efficient ...
Monika Saini, Ashish Kumar, Saini Monika   +2 more
exaly   +2 more sources

Stratified random sampling for power estimation

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1998
Cheng-Ta Hsieh, Massoud Pedram
exaly   +2 more sources

Stratified Random Sampling

2021
In case of simple random sampling without replacement, the sampling variance of the sample mean is \(V(\bar{y}_n)=\left( \frac{1}{n}-\frac{1}{N}\right) S^{2}_{y}\).
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra   +3 more
openaire   +2 more sources