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@ -54,7 +54,7 @@ public class GammaDistribution extends AbstractRealDistribution {
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* The constant value of
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* {@code shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape)},
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* where {@code L(shape)} is the Lanczos approximation returned by
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* {@link Gamma#lanczos(double)}. This prefactor is used in
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* {@link LanczosApproximation#value(double)}. This prefactor is used in
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* {@link #density(double)}, when no overflow occurs with the natural
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* calculation.
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*/
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@ -63,7 +63,7 @@ public class GammaDistribution extends AbstractRealDistribution {
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* The constant value of
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* {@code log(shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape))},
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* where {@code L(shape)} is the Lanczos approximation returned by
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* {@link Gamma#lanczos(double)}. This prefactor is used in
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* {@link LanczosApproximation#value(double)}. This prefactor is used in
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* {@link #logDensity(double)}, when no overflow occurs with the natural
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* calculation.
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*/
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@ -72,7 +72,7 @@ public class GammaDistribution extends AbstractRealDistribution {
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* The constant value of
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* {@code shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape)},
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* where {@code L(shape)} is the Lanczos approximation returned by
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* {@link Gamma#lanczos(double)}. This prefactor is used in
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* {@link LanczosApproximation#value(double)}. This prefactor is used in
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* {@link #density(double)}, when overflow occurs with the natural
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* calculation.
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*/
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@ -81,7 +81,7 @@ public class GammaDistribution extends AbstractRealDistribution {
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* The constant value of
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* {@code log(shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape))},
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* where {@code L(shape)} is the Lanczos approximation returned by
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* {@link Gamma#lanczos(double)}. This prefactor is used in
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* {@link LanczosApproximation#value(double)}. This prefactor is used in
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* {@link #logDensity(double)}, when overflow occurs with the natural
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* calculation.
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*/
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