A5059036155- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Spectroscopy and Chemometric Analyses
- Control Systems and Identification
- Advanced Statistical Process Monitoring
- Urban Transport and Accessibility
- Silkworms and Sericulture Research
- COVID-19 epidemiological studies
- Transportation Planning and Optimization
- Oil, Gas, and Environmental Issues
- Child Nutrition and Water Access
- Mathematical and Theoretical Epidemiology and Ecology Models
- Traffic and Road Safety
- Vestibular and auditory disorders
- Salmonella and Campylobacter epidemiology
- Viral gastroenteritis research and epidemiology
- Animal Nutrition and Physiology
- Hearing Loss and Rehabilitation
- Livestock and Poultry Management
- Bayesian Methods and Mixture Models
- Hearing, Cochlea, Tinnitus, Genetics
- Corporate Social Responsibility Reporting
Kent State University
2022-2024
Wrocław University of Science and Technology
2022
AGH University of Krakow
2022
University of Silesia in Katowice
2020
Landmark University
2019-2020
Motivated by the ridge regression (Hoerl and Kennard, 1970) Liu (1993) estimators, this paper proposes a modified estimator to solve multicollinearity problem for linear model. This modification places in class of estimators with single biasing parameter. Theoretical comparisons, real-life application, simulation results show that it consistently dominates usual estimator. Under some conditions, performs better than smaller MSE sense. Two data are analyzed illustrate findings performances...
The linear regression model is a widely used statistical tool that forms most modelling concepts' basis. ordinary least square estimator often adopted to estimate the model's parameters. considered efficient when there are no violations of classical assumptions. However, underperforms violates underlying assumptions regression. One violated problem multicollinearity. occurs correlation among independent variables. Many estimators have been proposed solve this but search for better continues....
The general linear regression model has been one of the most frequently used models over years, with ordinary least squares estimator (OLS) to estimate its parameter. problems OLS for analysis include that multicollinearity and outliers, which lead unfavourable results. This study proposed a two-parameter ridge-type modified M-estimator (RTMME) based on deal combined problem resulting from outliers. Through theoretical proofs, Monte Carlo simulation, numerical example, outperforms some other...
The sound-evoked electrical compound potential known as auditory brainstem response (ABR) represents the firing of a heterogenous population neurons in to sound stimuli, and is often used for clinical diagnosis based on wave amplitude latency. However, recent ABR applications detect human cochlear synaptopathy have led inconsistent results, mainly due high variability wave-1 amplitude. Here, rather than focusing 1, we evaluated use curvature synaptic loss. We first compared four...
The ordinary least square (OLS) method is very efficient in estimating the regression parameters a linear model under classical assumptions. If contains outliers, performance of OLS estimator becomes imprecise. Multicollinearity another issue that can reduce estimator. This study proposed Robust Jackknife Kibria-Lukman (RJKL) based on M-estimator to deal with multicollinearity and outliers. We examine superiority over existing estimators using theoretical proofs Monte Carlo simulations. put...
Following the idea presented with regard to elastic-net and Liu-LASSO estimators, we proposed a new penalized estimator based on Kibria–Lukman L1-norms perform both regularization variable selection. We defined coordinate descent algorithm for compared its performance those of some existing machine learning techniques, such as least absolute shrinkage selection operator (LASSO), elastic-net, Liu-LASSO, GO ridge estimator, through simulation studies real-life applications in terms test mean...
Modeling the number of individuals in different states is a principal tool event an epidemic. The natural transition between possible often includes deliberate interference such as isolation or vaccination. Thus, mathematical model may need to be re-calibrated due various factors. considered this paper SIRD epidemic model. An additional parameter moment changing description phenomenon when parameters change and not pre-specified. Detecting estimating real time subject statistical research. A...
Chicken keeping is a common thing with most household in rural areas of Nigeria. The birds are raised under extensive system production little or no feed provided by the farmers for birds, hence there need to compare rate egg six different breeds chickens reared same conditions areas. Twelve villages were randomly selected from long list Kwara, 20 households per village and 4 senatorial district, total coverage 240 study. that used study indigenous chicken (Fulani), improved (Shika Brown,...
Abstract Urbanization is a term used for capturing the process by which rural settlement transforms into urban way of life. It associated with development and civilization. A multitude push pull factors causing rapid growth in Nigeria’s urbanization. Observations from centres Nigeria have outlined various threats faced due to urbanizations such as risk environmental hazards, health so on. The intense urbanization has further generated traffic crises among city dwellers. This exist different...
Environmental reporting is crucial for corporate survival as it builds image, but certain procedures and regulations must be put in place to guide such reporting. Accordingly, this study examined environmental sustainability reports by oil companies Nigeria with the aim of assessing relationship between determinant reports. Ex-post-facto survey research design were adopted data sourced from structured questionnaires administered respondents a 56 item index adapted Global Reporting...