Irshad Ahmad Arshad's research while affiliated with Allama Iqbal Open University and other places
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Publications (5)
Several biogeochemical models have been applied to understand the potential effects of management practices on soil organic carbon (SOC) sequestration, crop growth, and yield. In this study, the denitrification and decomposition (DNDC) model was used to simulate soil SOC dynamics and harvested C-biomass in rice-wheat rotation under organic/inorgani...
In survey sampling, we aspire to obtain sound and consistent responses, which are not achieved while dealing with sensitive issues. Frequently, respondents give elusive responses to sensitive questions, so we employ randomized response techniques that facilitate finding an appropriate proportion of socially sensitive characteristics. In the present...
Biogeochemical models estimate soil organic carbon (SOC) sequestration, crop growth, and yield. The DeNitrification and DeComposition (DNDC) model was used to simulate soil SOC dynamics and harvested C-biomass in rice-wheat rotation under organic/inorganic fertilizations with conventional tillage (CT) and reduced tillage (RT). Before calibration, D...
In Survey Sampling, while we are dealing with sensitive issues, it is a challenge to get the accurate and unbiased answers from the respondents. To fulfill this need researcher exert on discovering such methodology which can help to get accurate responses from respondents in case of sensitive issues. One of the most famous techniques amongst these...
The survey sampling is one of the driving and most extensively used technique to collect the data about individual's behaviors, beliefs, views and opinions on a certain matter or topic. We aim to acquire flawless and reliable responses while collecting data. This aim is not achieved in such cases, when we are dealing with sensitive or socially stig...
Citations
... It is specifically employed when the dependent variable exhibits nominal qualitative outcomes encompassing more than two distinct categories. Multinomial logistic regression estimates the likelihood of an individual being assigned to a specific category within the dependent variable (Greene, 2012;Shair et al., 2023;Halim et al., 2022). The regression model for the estimation of the outcome variable is as follows. ...
... Singh et al. [19] projected a three-stage randomized response model, making use of poisson distribution. Halim et al. [20] derived the transition matrices of the conditional misclassification probabilities of multiple above mentioned models and also worked on finding the association of variables while tak-ingRR into account. Jaiswal et al. [21] projected the calibrated estimator of population mean under a unit response condition using inverse linear, logistic, and exponential integrated models. ...