case class ConfidenceIntervals(strict: Boolean = false) extends Tester with Product with Serializable
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- new ConfidenceIntervals(strict: Boolean = false)
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def
!=(arg0: Any): Boolean
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def
apply[T](context: Context, curvedata: CurveData[T], corresponding: Seq[CurveData[T]])(implicit arg0: Numeric[T]): CurveData[T]
Given a test performed in a specific
context, the latest curve (set of measurements)curvedataand previous curves (sets of measurements) for this testcorresponding, yields a new version of the latest curve, such that if any of the tests fail, the new sequence of curves will have thesuccessfield set tofalsefor those measurements that are considered to fail the test.Given a test performed in a specific
context, the latest curve (set of measurements)curvedataand previous curves (sets of measurements) for this testcorresponding, yields a new version of the latest curve, such that if any of the tests fail, the new sequence of curves will have thesuccessfield set tofalsefor those measurements that are considered to fail the test.- Definition Classes
- ConfidenceIntervals → Tester
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asInstanceOf[T0]: T0
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def
confidenceInterval[T](context: Context, alt: Seq[T])(implicit arg0: Numeric[T]): (Double, Double)
Returns a confidence interval for a given set of observations.
Returns a confidence interval for a given set of observations.
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- ConfidenceIntervals → Tester
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eq(arg0: AnyRef): Boolean
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- def multiple[T](context: Context, previouss: Seq[Measurement[T]], latest: Measurement[T])(implicit arg0: Numeric[T]): Measurement[T]
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notifyAll(): Unit
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- def single[T](previous: Measurement[T], latest: Measurement[T], sig: Double)(implicit arg0: Numeric[T]): Measurement[T]
- val strict: Boolean
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