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The short run shutdown point for a competitive firm is the output level at the minimum of the average variable cost curve. Assume that a firm's total cost function is TC = Q 3-5Q 2 +60Q +125. Then its variable cost function is Q 3 –5Q 2 +60Q, and its average variable cost function is (Q 3 –5Q 2 +60Q)/Q= Q 2 –5Q + 60. The slope of the ...
In mathematics, constraint counting is counting the number of constraints in order to compare it with the number of variables, parameters, etc. that are free to be determined, the idea being that in most cases the number of independent choices that can be made is the excess of the latter over the former.
The simplest interpolation method is to locate the nearest data value, and assign the same value. In simple problems, this method is unlikely to be used, as linear interpolation (see below) is almost as easy, but in higher-dimensional multivariate interpolation, this could be a favourable choice for its speed and simplicity.
Variable inputs are inputs whose use vary with output. Conventionally the variable input is assumed to be labor. [5] Total variable cost (TVC) is the same as variable costs. [5] Fixed cost (TFC) are the costs of the fixed assets those that do not vary with production. [6] Total fixed cost (TFC) Average cost (AC) are total costs divided by ...
The halting problem is a decision problem about properties of computer programs on a fixed Turing-complete model of computation, i.e., all programs that can be written in some given programming language that is general enough to be equivalent to a Turing machine.
More formally, it is the application of a point estimator to the data to obtain a point estimate. Point estimation can be contrasted with interval estimation: such interval estimates are typically either confidence intervals, in the case of frequentist inference, or credible intervals, in the case of Bayesian inference. More generally, a point ...
Linear errors-in-variables models were studied first, probably because linear models were so widely used and they are easier than non-linear ones. Unlike standard least squares regression (OLS), extending errors in variables regression (EiV) from the simple to the multivariable case is not straightforward, unless one treats all variables in the same way i.e. assume equal reliability.
The term law of total probability is sometimes taken to mean the law of alternatives, which is a special case of the law of total probability applying to discrete random variables. [ citation needed ] One author uses the terminology of the "Rule of Average Conditional Probabilities", [ 4 ] while another refers to it as the "continuous law of ...