Showing papers by "Manisha Pal published in 2017"
TL;DR: The results of this study offer the first experimental evidence demonstrating the correlation between lncRNAs and severe dengue phenotype and Monitoring NEAT1and IFI27 expression in PBMC may be useful in understanding dengued virus-induced disease progression.
27 citations
TL;DR: In this article, an attempt has been made to find optimum designs when the experimental region is a simplex or is cuboidal inside the simplex and does not contain the extreme points.
Abstract: In a mixture experiment, the response depends on the mixing proportions of the components present in the mixture. Optimum designs are available for the estimation of parameters of the models proposed in such situations. However, these designs are found to include the vertex points of the simplex Ξ defining the experimental region, which are not mixtures in the true sense. Recently, Mandal et al. (2015) derived optimum designs when the experiment is confined to an ellipsoidal region within Ξ, which does not include the vertices of Ξ. In this paper, an attempt has been made to find optimum designs when the experimental region is a simplex or is cuboidal inside Ξ and does not contain the extreme points.
4 citations
TL;DR: The article investigates a M/M ( a, b ) /1 queuing model with impatient customers to find different measures of effectiveness of the system and the approach adopted is based on embedded Markov chain.
Abstract: The article investigates a M/M(a,b)/1 queuing model with impatient customers. The size of a batch taken up for service depends on the number of customers present in the waiting line. The server ser...
2 citations
TL;DR: In the analysis of experiments with mixtures, quadratic models have been widely used as mentioned in this paper, and the optimum designs for the estimation of optimum mixing proportions in a Quadratic mixture model have been proposed.
Abstract: In the analysis of experiments with mixtures, quadratic models have been widely used. The optimum designs for the estimation of optimum mixing proportions in a quadratic mixture model have ...
2 citations
TL;DR: A mixture problem with two responses, which are functions of the mixing proportions, and are correlated with known dispersion matrix is investigated, and it is shown that when no prior knowledge about the regression coefficients is available, the D-optimal design is independent of the dispersion Matrix, while the A-Optimal design depends on it, provided the response functions are of different degree.
Abstract: In this paper, we investigate a mixture problem with two responses, which are functions of the mixing proportions, and are correlated with known dispersion matrix. We obtain D- and A-optimal designs for estimating the parameters of the response functions, when none or some of the regression coefficients of the two functions are the same. It is shown that when no prior knowledge about the regression coefficients is available, the D-optimal design is independent of the dispersion matrix, while the A-optimal design depends on it, provided the response functions are of different degree. On the other hand, when some of the regression coefficients are known to be the same for both the functions, the D-optimal design depends on the dispersion matrix when the two response functions are not of the same degree.
1 citations
Journal Article•
TL;DR: The paper investigates a M / M ( b , b ) /1 queuing model with bulk service based on embedded Markov chains to find the different measures of effectiveness of the model.
Abstract: The paper investigates a M / M ( b , b ) /1 queuing model with bulk service. The server serves the customers in batches of fixed size b , and the service time is assumed to be exponentially distribution. Customers arrive to the system as a Poisson process and may renege after waiting in the queue for an exponentially distributed time. The reneging of a customer depends on the state of the system. The model is analyzed to find the different measures of effectiveness of the model. The approach adopted is based on embedded Markov chains.
1 citations