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Manisha Pal

Researcher at University of Calcutta

Publications -  86
Citations -  953

Manisha Pal is an academic researcher from University of Calcutta. The author has contributed to research in topics: Optimal design & Mixture model. The author has an hindex of 15, co-authored 84 publications receiving 861 citations.

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An Inventory Model for Deteriorating Items when Demand is Random

TL;DR: An inventory model for items with exponential life, when demand for the item is made one at a time, is studied to obtain the optimal ordering quantity which minimises the total expected cost per unit time.
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Optimum Designs for Estimation of Parameters in a Quadratic Mixture-Amount Model

TL;DR: In this article, a mixture-amount model was proposed, which is quadratic both in the proportions of mixing components and the amount of mixture, and the optimality of the derived designs in the entire class of competing designs has been investigated through equivalence theorem.
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Optimum designs for estimation of optimum point under cost constraint

TL;DR: In this paper, the authors consider the estimation of the optimum factor combination in a response surface model and find the optimum design using the trace optimality criterion using a pseudo-Bayesian approach.

Optimum mixture designs under constraints on mixing components

TL;DR: In this article, Mandal et al. derived a pseudo-Bayesian approach with invariance property of the second order moments of the optimum mixing proportions for estimating the optimum proportion of mixture components when the factor space is constrained.
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Optimum Designs for Parameter Estimation in Linear Mixture Models with Synergistic Effects

TL;DR: In this article, the authors derived optimum designs for parameter estimation in a mixture experiment when the response function is linear in the mixing components with some synergistic effects using the equivalence theorem.