| 41. | Default probabilities may be estimated from a historical data base of actual defaults using modern techniques like logistic regression.
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| 42. | The expected number ( from the logistic model ) can be calculated using the equation from the logistic regression.
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| 43. | In the case of logistic regression, the link function is the log of the odds ratio or logistic function.
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| 44. | GPs have numerous application, such as components sizing in IC design and parameter estimation via logistic regression in statistics.
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| 45. | Social science looks at these kinds of questions its own way, with standard deviations, correlation coefficients and logistic regressions.
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| 46. | Logistic regression models provide an estimate of the probability of an outcome, usually designated as a " success ".
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| 47. | A generalisation of the logistic function to multiple inputs is the softmax activation function, used in multinomial logistic regression.
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| 48. | In particular the key differences of these two models can be seen in the following two features of logistic regression.
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| 49. | Logistic regression models created by Schrodt were also successfully incorporated into the predictive algorithms used by Lockheed Martin for ICEWS.
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| 50. | Logistic regression can be seen as a special case of the generalized linear model and thus analogous to linear regression.
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