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A manufacturing company has two factories F1 and F2 producing a certain commodity that is required at three retail outlets M1, M2 and M3. Once produced, the commodity is stored at one of the ve company warehouses, W1;W2;W3;W4;W5 from where it is distributed to thevarious retail outlets. It is not feasible to move the commodity from a warehouse to a factory, nor is it feasible to move the commodity from a retail outlet to a warehouse. The tables below give the maximum weekly amount of the commodity that can be moved from factory Fi to warehouse Wj and from warehouse Wj to retail outlet Mk. Maximum weekly movement of the commodity between warehouses is indicated in the network shown below. Each factory F1 and F2 has a weekly production capacity of 60 units. Using an appropriate network, determine the maximum amount of the commodity that can be supplied to the markets.
The regression analysis is used to fit a model describing the relationship of a dependent variable with independent variable(s). Here we have fitted three regression models:
The total amount of protein produced by a dairy cow can be estimated from periodic testing of her milk. The following are the total annual protein production values (lb) for 28 tw
The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give
An oil company is considering whether or not to bid for an offshore drilling contract. If they bid, the value would be $600m with a 65% chance of gaining the contract. The company
elements , importance, limitation, and theories
what are tests for residual with nonconstant variance in regression diagnostic checking?
Multimodal distribution is the probability distribution or frequency distribution with number of modes. Multimodality is frequently taken as an indication which the observed di
Recursive models are the statistical models in which the causality flows in one direction, that is models which include only unidirectional effects. Such type of models do not inc
Maximum likelihood estimation is an estimation procedure involving maximization of the likelihood or the log-likelihood with respect to the parameters. Such type of estimators is
Quantile regression is an extension of the classical least squares from estimation of the conditional mean models to the estimation of the variety of models for many conditional q
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