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Missing data is a common problem present in almost every data collection. It is particularly important in sample survey research. The existence of missing observations (non-response ) …

ESTIMATION OF THE PARAMETERS FOR POWER FUNCTION DISTRIBUTION BASED DOUBLY CENSORED SAMPLE G. S. Sathyareji and E.I. Abdul-Sathar1 Department of …

Multiple imputations in sample surveys - a phenomenological Bayesian approach to nonresponse. In Imputation and editing of faulty or missing survey data, 1 –23.

A survey validated by experts was carried out, in the period between November and December 2020, with a probabilistic sample of 88 students from the University of Medical Sciences of …

Mar 9, 2022 · Methods: A technological evaluation study was conducted of a sample of 278 workers. Two groups of judges were consulted: one for cultural adaptation and the other for …

rization vectors perpendicular to the basal plane as determined from the PFM micrographs. This is the reason for the exceptional values of permittivity and d33 parameter in the TEX04 sample …

A GENERALIZED EXPONENTIAL RATIO-PRODUCT ESTIMATOR FOR POPULATION VARIANCE IN SIMPLE RANDOM SAMPLING Mir Subzar1*and Yasmeena Ismail** *Jammu …

1 day ago · A temporal partition of the sample (67.5%) was performed to build the model, using ordinal logistic regression (95% confidence interval). Results: The model classified 81.6% of …

The missing values corresponded to samples rejected in the case of: 1) missing samples; 2) quality control of the samples before analysis (too low volume, unsealed or broken flasks, or …

Iron Modified Natural Zeolite as Sustainable Environmental Catalysts: Correlation between Iron Speciation and Catalytic Activity in NO-Reduction