[PDF] Top 20 Small Area Estimation Under Informative Sampling
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Small Area Estimation Under Informative Sampling
... the area means under informative sampling schemes for both sampled and nonsampled ...the area means as functions of the area sample selection probabilities is also ...the ... See full document
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Small area estimation under informative probability sampling of areas and within the selected areas
... an informative sampling ...the small area means under a particular model identified for the sample data and Section 6 developing appropriate variance ... See full document
37
Small area estimation: new developments and directions
... of small area statistics and their immense importance, it is imperative to develop efficient tools for the selection of models and the ascertainment of their goodness of ...because small area ... See full document
34
Small area estimation under informative probability sampling of areas and within the selected areas
... predicting small area means under informative sampling of areas and within the ...the sampling weights within the selected areas, but otherwise is ‘model ...the area means ... See full document
37
Bias Adjusted Estimation for Small Areas with Outlying Values
... compare estimation of regional means of TCC under repeated sampling using both mixed effects models and M-quantile ...by sampling N times with replacement from the above sample of 1652 farms ... See full document
26
Multipurpose small area estimation
... of small area MBD estimation combined with multipurpose ...random sampling design with overall sample size n = 1652 and the same m = 29 small areas of interest (defined by agricultural ... See full document
24
Small Area Estimation with Skewed Data
... by sampling with replacement from the original sample of 1652 farms with probabilities proportional to their sample ...the small areas of interest defined by the 29 Australian agricultural regions ... See full document
24
Calibrated Weighting for Small Area Estimation
... by sampling with replacement from them with probabilities proportional to their sample ...the small areas of interest and focused on estimating the average value of Y = annual farm costs (A$) in these ... See full document
26
Hierarchical Bayes Small Area Estimation under a Unit Level Model with Applications in Agriculture
... on estimation of area and yield of apple in District Baramulla has been used for the purpose of our proposed small area ...Yield, Area, Trees, Actual Yield for names of blocks, total ... See full document
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State space modeling with correlated measurements with application to small area estimation under benchmark constraints
... The justification for the constraints in (1.1) is that the direct CPS estimators, which are unreliable in single states, can be trusted when averaged over different states. Note in this respect that by the ... See full document
21
Small Area Estimation under a Two Part Random Effects Model with Application to Estimation of Literacy in Developing Countries
... permits sampling from the posterior distribution of the fixed parameters and the random effects, and hence from the posterior distribution of the small area means, given the ...the small ... See full document
15
Synthetic and composite estimators for small area estimation under Lahiri – Midzuno sampling scheme
... the sampling error is within 5 percent. However, the sampling error of both the estimators increases considerably, when they are used for estimating acreage statistics of various principle crops even at ... See full document
17
Bayesian approach for the estimation of cyclosporine area under the curve using limited sampling strategies in pediatric hematopoietic stem cell transplantation
... To our knowledge, only three LSS studies for the prediction of CsA AUC in pediatric hematopoietic stem cell transplantation have been published. Willemze et al. found a good performance using B-LSS for intravenous (IV) ... See full document
23
INFORMATIVE SAMPLING ON TWO OCCASIONS: ESTIMATION AND PREDICTION
... this area deals with sampling on two occasions under equal and unequal probability of selection sampling ...for sampling on two occasions, from the population distribution and first ... See full document
21
Small area Estimation of Poverty and Malnutrition in Cambodia
... parameter estimation and more reliable ...or area effects in models when required, or combining area based models into an essentially equivalent single model containing appropriate interactions to ... See full document
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SIMULTANEOUS ESTIMATION AND VALIDATION OF PARACETAMOL, CHLORPHENIRAMINE MALEATE AND PHENYLEPHRINE HYDROCHLORIDE IN BULK AND TABLET DOSAGE FORM BY USING DIFFERENT SPECTROPHOTOMETRIC METHOD
... simultaneous estimation of PARA, PHEN and CHLOR in combined dosage form were found to be accurate, simple and rapid which can be well understood from va1lidation data as given in Table 3 and ... See full document
5
M Quantile Models for Small Area Estimation
... A common problem for all “quantile-type” fitted regression planes is that they can cross over for different values of q. This lack of monotonicity is essentially a finite sample problem and is typically due to a ... See full document
33
Estimation of Finite Population Mean and Superpopulation Parameters when the Sampling Design is Informative and Nonresponse Mechanism is Nonignorable
... four-step estimation method is introduced for the estimation of superpopulation parameters under informative sampling and nonignorable nonresponse ...from sampling surveys can be ... See full document
23
Bayesian Analysis of two Censored Shifted Gompertz Mixture Distributions using Informative and Noninformative Priors
... the estimation of a failure probability of ...the estimation of zero and in risk analyses estimating a zero failure probability simply means that no risk is expected for further detail see Norstrom ... See full document
17
Estimation bias under model selection for distance sampling detection functions
... When all the assumptions are met, our results show that two scenarios lead to large bias: spiked distance data and wide flat shoulder distance data. Both are typically avoided using appropriate field procedures. A way to ... See full document
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