نتایج جستجو برای: missing

تعداد نتایج: 62925  

Siroos Arefi Rad

This study attempted to investigate writing problems and the relationship between expert-assessment and self-assessment of writing problems. Participants were thirty four non-English faculty members of Tehran and Guilan universities. The instruments were writing an essay on the topic "What teaching strategies do you use in your classes?" in twenty five lines and filling the questionnaire of wri...

اعظم , کمال, جندقی , غلام رضا, محمد , کاظم, مشکانی , محمدرضا, نوری اله, کرامت , پاشا , عین اله, کریملو , مسعود,

Background and Aim: Logistic regression is an analytic tool widely used in medical and epidemiologic research. In many studies, we face data sets in which some of the data are not recorded. A simple way to deal with such "missing data" is to simply ignore the subjects with missing observations, and perform the analysis on cases for which complete data are available. Materials and Methods: We c...

D. Rahmani, , M. Saidi-Mehrabad, , R. Ramezanian, ,

Flow shop scheduling problem with missing operations is studied in this paper. Missing operations assumption refers to the fact that at least one job does not visit one machine in the production process. A mixed-binary integer programming model has been presented for this problem to minimize the makespan. The genetic algorithm (GA) and tabu search (TS) are used to deal with the optimization...

Baojiang Chen, Grace Y. Yi, Lihua Wang, Longyang Wu, Zhijian Chen,

A common study to investigate gene-environment interaction is designed to be longitudinal and population-based. Data arising from longitudinal association studies often contain missing responses. Naive analysis without taking missingness into account may produce invalid inference, especially when the missing data mechanism depends on the response process. To address this issue in the ana...

Journal: :desert 2006
s. hajjam n. yusefi

meteorological stations usually contain some missing data for different reasons.there are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. in this paper a blended model comprising the bivariate expo...

Journal: :Nursing Science Quarterly 2020

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