ch1_estimating_parameter_values

Ch1_estimating_param - Estimating Parameter Values Example This handout shows an example how to estimate parameter values for the learning curve

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Estimating Parameter Values: Example This handout shows an example how to estimate parameter values for the learning curve. Type the following on an Excel spreadsheet in cells A3 to B13: Step 1: Compute logarithmic values We shall compute natural logarithms. Note that the choice between natural logarithm (base e ) and common logarithm (base 10) is related to the formula for parameter a . If common logarithm is used, the formula for a must be changed from what we use. The Excel function for natural logarithm is LN(). To get the natural logarithm of the number typed in cell A6, choose a cell, say A18 and enter the following formula: = LN(A6) Now, using copy and paste all the other natural logarithms may be obtained. The resulting values are shown below: Step 2: Compute the slope and intercept To get the slope and intercept, enter the following formula in two different cells, say B29 and B30: = INTERCEPT(B18:B25,A18:A25) = SLOPE(B18:B25,A18:A25) The resulting values are shown below: 1 A B
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This note was uploaded on 09/30/2008 for the course MGMTSC 73-331 taught by Professor Baki during the Summer '08 term at Windsor.

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Ch1_estimating_param - Estimating Parameter Values Example This handout shows an example how to estimate parameter values for the learning curve

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