Bayesian analysis of the amended Davidson model for paired comparison using noninformative and informative priors

In recent years, numerous statisticians have focused their attention on the Bayesian analysis of different paired comparison models. While studying paired comparison techniques, the Davidson model is considered to be one of the famous paired comparison models in the available literature. In this article, we have introduced an amendment in the Davidson model which has been commenced to accommodate the option of not distinguishing the effects of two treatments when they are compared pairwise. Having made this amendment, the Bayesian analysis of the Amended Davidson model is performed using the noninformative (uniform and Jeffreys’) and informative (Dirichlet–gamma–gamma) priors. To study the model and to perform the Bayesian analysis with the help of an example, we have obtained the joint and marginal posterior distributions of the parameters, their posterior estimates, graphical presentations of the marginal densities, preference and predictive probabilities and the posterior probabilities to compare the treatment parameters.     

Bayesian inference of the inverse Weibull mixture distribution using type-I censoring

A large number of models have been derived from the two-parameter Weibull distribution including the inverse Weibull (IW) model which is found suitable for modeling the complex failure data set. In this paper, we present the Bayesian inference for the mixture of two IW models. For this purpose, the Bayes estimates of the parameters of the mixture model along with their posterior risks using informative as well as the non-informative prior are obtained. These estimates have been attained considering two cases: (a) when the shape parameter is known and (b) when all parameters are unknown. For the former case, Bayes estimates are obtained under three loss functions while for the latter case only the squared error loss function is used. Simulation study is carried out in order to explore numerical aspects of the proposed Bayes estimators. A real-life data set is also presented for both cases, and parameters obtained under case when shape parameter is known are tested through testing of hypothesis procedure.     

An Explicit Distribution to Model the Proportion of Heating Degree Day and Cooling Degree Day

With a view to estimating the energy consumption, we derive the explicit distribution of the proportion X/(X + Y) when X and Y follow the new Bivariate Affine-Linear Exponential distribution. An application of this distribution to model the proportion of heating using the heating degree day and the cooling degree day data in the State of Alabama for Appalachian Mountain is provided. Using intensive computations based on R-program, tabulation of some quantiles associated with this particular distribution of proportion is also provided, which is quite useful in estimating the proportion of energy required to heat a building.     

Optimal designing of skip-lot sampling plan of type SkSP-2 with group acceptance sampling plan as reference plan under Burr-type XII distribution

In this paper, skip-lot sampling plan of type SkSP-2 with group acceptance sampling plans is proposed when the lifetime of the product follows the Burr-type XII distributions. The optimal parameters of the proposed plan are determined when two points on operating characteristics curve namely acceptable quality level and limiting quality level and the number of testers are specified. We also considered the Burr-type XII distribution to find the plan parameters. Several tables are given for practical use. We compare the results of proposed plan with the existing plans. Results are explained using real-world examples.     

Attachment Relationships and Psychological Adjustment of Married Adults

The present study explored relations among remembered parental (paternal and maternal) acceptance in childhood, spouse acceptance and psychological adjustment of adults. It also explored whether remembered childhood experiences of parental acceptance mediate the relation between perceived spouse acceptance and psychological adjustment. The sample consisted of 354 married adult men (178) and women (176). Results showed that the more accepting both men and women perceived their spouses to be, the better was their psychological adjustment. Similarly, the more accepting both men and women remembered their parents had been to them during childhood, the better was their psychological adjustment. Standard multiple regression analyses revealed that paternal acceptance mediated the relation between perceived spouse acceptance and the psychological adjustment of both men and women. In addition, remembered maternal acceptance mediated the relation between men’s (but not women’s) perceived spouse acceptance and psychological adjustment.     

How community embeddedness of public sector employees is formed by organisational justice and leads to counterproductive work behaviour

Public Organization Review - This paper provides an empirical evidence based on conservation of resources theory that how organisational justice (OJ) forms the public employee’s embeddedness...     

The Impact of in-Service Training and Motivation on Job Performance of Technical & Vocational Education Teachers: Role of Person-Job Fit

In-service education and training (INSET), motivation and person-job fit of workers are considered vital for the performance of employees. The focused purpose of the study is to examine the associations between in-service training and motivation impact on job performance of Technical Vocational Education and Training (TVET) teachers, while examining the moderating role of person-job fit. Using convenience sampling technique, data is collected from TVET teachers in South Asia. The finding of this study revealed a significant impact for in-service training and motivation on job performance. This research study is useful for the HR managers and practitioners to utilize their employee’s true potential to get the desired results.

     

Halal value creation: its role in adding value and enabling logistics service

Abstract

The need to implement halal value creation into logistics and supply chains has been recognised recently. Yet, there is a lack of efforts to leverage resources and capabilities in contributing to the halal value creation for competitive advantage and subsequently firm performance. The purpose of this paper is to understand the halal value creation of current practices and its role in adding value and enabling logistics service. A structure interview of seven third-party logistics (3PL) providers is conducted to provide more precise perception about works by viewing with the lens prescribed by practitioners rather than reviews. The results draw the novel practices of halal value creation in logistics, that have not been revealed and further identifies five emerging resources of ‘resource-based halal logistics’. These create innovation capability (ability to launch successful halal goods/services) in logistics services, which are transformed into benefits of profits for 3PLs and value for customers.     

Achieving manufacturing excellence through the integration of enterprise systems and simulation

This paper discusses the significance of the enterprise systems and simulation integration in improving shop floor’s short-term production planning capability. The ultimate objectives are to identify the integration protocols, optimisation parameters and critical design artefacts, thereby identifying key ‘ingredients’ that help in setting out a future research agenda in pursuit of optimum decision-making at the shop floor level. While the integration of enterprise systems and simulation gains a widespread agreement within the existing work, the optimality, scalability and flexibility of the schedules remained unanswered. Furthermore, there seems to be no commonality or pattern as to how many core modules are required to enable such a flexible and scalable integration. Nevertheless, the objective of such integration remains clear, i.e. to achieve an optimum total production time, lead time, cycle time, production release rates and cost. The issues presently faced by existing enterprise systems (ES), if properly addressed, can contribute to the achievement of manufacturing excellence and can help identify the building blocks for the software architectural platform enabling the integration.