Results 1 to 10 of about 78 (75)
An Improved Approach to Multivariate Linear Calibration [Mathematics Subject Classification 62P25] [PDF]
Scientia Iranica, 2016 The article presents an approach to multivariate linear calibration based on the best linear predictor. The bias and mean squared error for the suggested predictor are derived in order to examine its properties. It has been examined that Bias/ and MSE/ are function of five invariant quantities.
Muhammad Riaz
exaly +3 more sources
Majalah Ilmiah Matematika dan StatistikaPoverty is a major concern of the Indonesian government and the government's efforts to reduce poverty are a national development priority. Therefore, it is interesting to identify the factors that influence poverty in Indonesia.
Hafsah Kurnia +2 more
doaj +2 more sources
Causal effect on a target population: A sensitivity analysis to handle missing covariates
Journal of Causal Inference, 2022 Randomized controlled trials (RCTs) are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population.
Colnet Bénédicte +3 more
doaj +1 more source
Model-based regression adjustment with model-free covariates for network interference
Journal of Causal Inference, 2023 When estimating a global average treatment effect (GATE) under network interference, units can have widely different relationships to the treatment depending on a combination of the structure of their network neighborhood, the structure of the ...
Han Kevin, Ugander Johan
doaj +1 more source
Minimally capturing heterogeneous complier effect of endogenous treatment for any outcome variable
Journal of Causal Inference, 2023 When a binary treatment DD is possibly endogenous, a binary instrument δ\delta is often used to identify the “effect on compliers.” If covariates XX affect both DD and an outcome YY, XX should be controlled to identify the “XX-conditional complier ...
Lee Goeun +2 more
doaj +1 more source
Journal of Causal Inference, 2023 We propose semiparametric and nonparametric methods to estimate conditional interventional indirect effects in the setting of two discrete mediators whose causal ordering is unknown. Average interventional indirect effects have been shown to decompose an
Rubinstein Max +2 more
doaj +1 more source
Ecological Indicators, 2021 In recent decades, the measurement and evaluation of important social and natural phenomena has significantly evolved, with many traditional measurements based on single variables increasingly being replaced by multidimensional approaches. One key aspect
Vincenzo Mauro +3 more
doaj +1 more source
Estimating population average treatment effects from experiments with noncompliance
Journal of Causal Inference, 2020 Randomized control trials (RCTs) are the gold standard for estimating causal effects, but often use samples that are non-representative of the actual population of interest.
Ottoboni Kellie N., Poulos Jason V.
doaj +1 more source
Precise unbiased estimation in randomized experiments using auxiliary observational data
Journal of Causal Inference, 2023 Randomized controlled trials (RCTs) admit unconfounded design-based inference – randomization largely justifies the assumptions underlying statistical effect estimates – but often have limited sample sizes.
Gagnon-Bartsch Johann A. +6 more
doaj +1 more source
Mathematic modeling of farmer household income in Singosari Village, Tanggamus District
Majalah Ilmiah Matematika dan Statistika, 2023 Farmers engage in various sectors (agriculture and non-agriculture) to earn income in order to meet their diverse household needs. Based on various pieces of literature, the agricultural sector serves as a gauge for the income level of rural farming ...
Komang Ariyanto
doaj +1 more source