- Reliability and Maintenance Optimization
- Statistical Distribution Estimation and Applications
- Software Reliability and Analysis Research
- Sports Analytics and Performance
- Advanced Statistical Methods and Models
- Mosquito-borne diseases and control
- Quality and Safety in Healthcare
- Probabilistic and Robust Engineering Design
- Statistical Methods and Bayesian Inference
- Forecasting Techniques and Applications
- Life Cycle Costing Analysis
- Sports Performance and Training
- Risk and Safety Analysis
- Bone and Joint Diseases
- Neural Networks and Applications
- Hematological disorders and diagnostics
- Bayesian Methods and Mixture Models
- Complex Systems and Decision Making
- Advanced Statistical Process Monitoring
- COVID-19 epidemiological studies
- Balance, Gait, and Falls Prevention
- Malaria Research and Control
- Winter Sports Injuries and Performance
- Statistical Methods and Inference
- Innovation Diffusion and Forecasting
Portland State University
2024
Indiana Wesleyan University
2023
University of Salford
2008-2020
University of Liverpool
1991-1994
Royal Liverpool University Hospital
1994
This paper is concerned with the development of a realistic preventive maintenance (PM) scheduling model. A heuristic approach for implementing semi-parametric proportional-hazards model (PHM) to schedule next interval on basis equipment's full condition history introduced. can be used repairable systems and does not require unrealistic assumption renewal during repair, or even PM. Two PHMs are fitted, life equipment following corrective work PM, using appropriate explanatory variables....
SUMMARY The seemingly unrelated regressions model is described and analysed from a Bayesian perspective. predictive density for this cannot, in general, be evaluated analytically. Two approximations are proposed investigated. These Gibbs sampling first-order approximation based on Bayes estimate of the precision matrix. then compared simulated data both appear to give good results. Extensions allow missing also discussed.
Abstract Few publications consider the estimation of relative risk for vector-borne infectious diseases. Most these articles involve exploratory analysis that includes study covariates and their effects on disease distribution geographic information systems to integrate patient-related information. The aim this paper is introduce an alternative method based discrete time–space stochastic SIR-SI models (susceptible–infective–recovered human populations; susceptible–infective vector...
Stochastic processes are natural models for the progression of many individual and team sports. Such have been applied successfully to select strategies predict outcomes in context games, tournaments leagues. This information is useful participants gamblers, who often need make decisions while sports progress. In order apply these models, much published research uses parameters estimated from historical data, thereby ignoring uncertainty parameter values most relevant that arises during...
Based upon the non-homogeneous Poisson process as recommended by Ascher & Feingold (1984), we investigate suitable models for describing inter-failure times of complex repairable systems. Specifically, modify and develop proportional intensities model (PIM) introduced Cox (1972b) this purpose. We illustrate suitability these on hypothetical data taken from first two books. Having identified potential benefits approach, extend PIM to introduce a new class generalized (GPIM), which allow...
Occupational hydrocarbon exposure is believed by some investigators to play an important role in the development of several non-neoplastic renal diseases. In view continuing debate this area nephrology we adopted a cross-sectional approach investigating prevalence clinical or sub-clinical dysfunction subjects chronically exposed hydrocarbons at their work site. Three groups healthy men working different and separate areas major car manufacturing plant North-west England participated study....
Abstract Percy and Alkali presented generalizations of the proportional intensities model introduced by Cox. They identified several features these models that are particularly relevant for modelling complex repairable systems subject to preventive maintenance (PM). These include baseline intensity, scaling factors explanatory variables. We investigate aspects in detail apply five sets reliability data collected from main pumps at oil refineries. use likelihood methods estimate parameters...
Journal Article Reliability equivalence factors for a series–parallel system of components with exponentiated Weibull lifetimes Get access Safar M. Alghamdi, Alghamdi Salford Business School, University Salford, Manchester M5 4WT, UK and Department Mathematics Statistics, Faculty Science, Taif University, Al Huwaya, Saudi Arabia *Corresponding author: S.M.Alghamdi@edu.salford.ac.uk Search other works by this author on: Oxford Academic Google Scholar David F. Percy IMA Management Mathematics,...
This study was carried out in order to examine changes cardiovascular risk associated with a population-based screening programme.Cardiovascular disease (CVD) factor data from representative sample of residents aged between 45 and 55 years who attended total three times over 10-year period were chosen for analysis (n=4113). Cohorts defined as either 'high risk' or 'normal at baseline factors including blood pressure, body mass index (BMI), cholesterol, smoking alcohol intake. Mean observed...
Exposure to hydrocarbons has been implicated in the pathogenesis of glomerulonephritis but its role development diabetic nephropathy remains unknown. Three groups patients with Type 1 diabetes over 10 years duration were studied. Group comprised 45 (23 F) no (urinary albumin excretion (AER) < 30 mg 24 h-1), group 2 37 (17 incipient (AER between 30-300 and 3 31 (15 overt > 300 h-1). The comparable for age, sex, diabetes, recent glycaemic control, social class, residential area. Patients...
Develops practical models for preventive maintenance policies using Bayesian methods of statistical inference. Considers the analysis a delayed renewal process and alternating with exponential times to failure. This approach has advantage generating predictive distributions numbers failures downtimes rather than relying on estimated functions. Demonstrates superiority this in analysing situations non‐linear cost functions, which arise reality, by means an example.
Relative risk estimation is one of the most important issues in study geographical distributions disease occurrence or mapping. For case dengue, there are only a few studies that use statistical methods to estimate relative for Therefore this research will introduce an alternative method dengue based initially on discrete-time, discrete-space stochastic SIR models (Susceptible-Infective-Removed) human populations transmission, overcome drawbacks mapping using classical standardized morbidity...
Handicapping systems play important roles in many sports. This paper focuses on disabled sports competitions, which primarily aim to encourage participation. Nevertheless, prizes are awarded for relative performances and should be allocated fairly. We review handicapping procedures specifically Alpine skiing identify imperfections with this system, particularly how historical new results combined determine scaling factors. Significant problems also arise due different class sizes variations...