Statistical Learning and Big DataStatistical Learning and Big Datahttps://dspace.alquds.edu/handle/20.500.12213/1102019-02-22T02:55:02Z2019-02-22T02:55:02ZFitting Variance Components Model and Fixed Effects Model for One-Way Analysis of Variance to Complex Survey DataEideh, Abdulhakeem A. H.https://dspace.alquds.edu/handle/20.500.12213/7842018-10-08T10:13:18Z2012-07-25T00:00:00ZFitting Variance Components Model and Fixed Effects Model for One-Way Analysis of Variance to Complex Survey Data
Eideh, Abdulhakeem A. H.
Under complex survey sampling, in particular when selection probabilities depend
on the response variable (informative sampling), the sample and population
distributions are different, possibly resulting in selection bias. This article is
concerned with this problem by fitting two statistical models, namely: the variance
components model (a two-stage model) and the fixed effects model (a single-stage
model) for one-way analysis of variance, under complex survey design, for example,
two-stage sampling, stratification, and unequal probability of selection, etc. Classical
theory underlying the use of the two-stage model involves simple random sampling
for each of the two stages. In such cases the model in the sample, after sample
selection, is the same as model for the population; before sample selection. When the
selection probabilities are related to the values of the response variable, standard
estimates of the population model parameters may be severely biased, leading
possibly to false inference. The idea behind the approach is to extract the model
holding for the sample data as a function of the model in the population and
of the first order inclusion probabilities. And then fit the sample model, using
analysis of variance, maximum likelihood, and pseudo maximum likelihood methods
of estimation. The main feature of the proposed techniques is related to their
behavior in terms of the informativeness parameter. We also show that the use of the
population model that ignores the informative sampling design, yields biased model
fitting.
2012-07-25T00:00:00ZGuidelines on Energy Consumption Surveys in the Transport Sector Experiences in Selected Arab CountriesEideh, AbdulhakeemEl Gemayel, ThereseAboul Hosn, Wafahttps://dspace.alquds.edu/handle/20.500.12213/7622018-10-08T10:13:24Z2015-07-01T00:00:00ZGuidelines on Energy Consumption Surveys in the Transport Sector Experiences in Selected Arab Countries
Eideh, Abdulhakeem; El Gemayel, Therese; Aboul Hosn, Wafa
Introduction:
Data collection for the 2015 Energy Consumption Survey in Transport Sector (ECSTS) will be
conducted between March and May 2015, collecting data for reference year 2014. The goal of
the ECSTS is to provide statistical information about energy consumption, expenditures, and
energy efficiency in Egypt, Jordan and Palestine, in all modes of transportations, namely: road,
railway, maritime, and air. In addition, the goal is to link the resulted statistics to national
policies on energy production and consumption based on collected statistics.
2015-07-01T00:00:00Z