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The Stochastic Learning Curve: Optimal Production in the Presence of Learning-Curve Uncertainty
Operations Research, 1997Theoretical analyses incorporating production learning are typically deterministic: costs are posited to decrease in a known, deterministic fashion as cumulative production increases. This paper introduces a stochastic 1earning:curve model that incorporates random variation in the decreasing cost function.
Joseph B. Mazzola, Kevin F. McCardle
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2013
I WAS RAISED IN WHAT MANY WOULD consider to be an at-risk family structure: My parents divorced when I was six months old; my mom and I lived in my grandparents’ home for eight years; and, due to financial constraints, my mom and I spent about a year living with a person she was dating.
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I WAS RAISED IN WHAT MANY WOULD consider to be an at-risk family structure: My parents divorced when I was six months old; my mom and I lived in my grandparents’ home for eight years; and, due to financial constraints, my mom and I spent about a year living with a person she was dating.
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Inside the Learning Curve: Opening the Black Box of the Learning Curve
SSRN Electronic Journal, 2009The traditional learning curve asserts that organizational performance improves as a function of operating experience. The typical example is unit cost decreasing as a function of cumulative production volume. As an organization produces more it somehow “learns” to reduce unit cost.
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Journal of the American Statistical Association, 1969
is a "good" one, in the sense that the residuals from fitting (1) to his illustrative data (Table 1) might credibly be a random sample from a log-normally distributed population of cost fluctuations. In fact, the residuals from his "best" fit-a = $61.59 X 106, = -0.6729-are large and systematic (Table 1, Column 6). How can a statistician best serve, in
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is a "good" one, in the sense that the residuals from fitting (1) to his illustrative data (Table 1) might credibly be a random sample from a log-normally distributed population of cost fluctuations. In fact, the residuals from his "best" fit-a = $61.59 X 106, = -0.6729-are large and systematic (Table 1, Column 6). How can a statistician best serve, in
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Learning from Productivity Learning Curves
Research-Technology Management, 2002Forecasting process productivity performance during the early phases of commercialization often underestimates learning rates associated with new platform technologies.
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The learning curve in proximal hypospadias repair
Journal of Pediatric Urology, 2021Eiji Hisamatsu +2 more
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