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1. module Statistics.ConfidenceInt

   Calculation of confidence intervals

2. midspread :: Vector v Double => ContParam -> Int -> v Double -> Double

   statistics	Statistics.Quantile

   O(n·log n). Estimate the range between q-quantiles 1 and q-1 of a sample x, using the continuous sample method with the given parameters. For instance, the interquartile range (IQR) can be estimated as follows:

   midspread medianUnbiased 4 (U.fromList [1,1,2,2,3])
   ==> 1.333333
   

3. type Bandwidth = Double

   statistics	Statistics.Sample.KernelDensity.Simple

   The width of the convolution kernel used.

4. bandwidth :: Vector v Double => (Double -> Bandwidth) -> v Double -> Bandwidth

   statistics	Statistics.Sample.KernelDensity.Simple

   Compute the optimal bandwidth from the observed data for the given kernel. This function uses an estimate based on the standard deviation of a sample (due to Deheuvels), which performs reasonably well for unimodal distributions but leads to oversmoothing for more complex ones.

5. confidenceInterval :: Num a => Estimate ConfInt a -> (a, a)

   statistics	Statistics.Types

   Get confidence interval

6. confidenceLevel :: Num a => CL a -> a

   statistics	Statistics.Types

   Get confidence level. This function is subject to rounding errors. If 1 - CL is needed use significanceLevel instead

7. llConfidenceLevel :: LowerLimit a -> !CL Double

   statistics	Statistics.Types

   Confidence level for which limit was calculated

8. ulConfidenceLevel :: UpperLimit a -> !CL Double

   statistics	Statistics.Types

   Confidence level for which limit was calculated

9. monoidConcatMap :: (Storable a, Monoid m) => (a -> m) -> Vector a -> m

   storablevector	Data.StorableVector

   Deprecated: Use foldMap instead.

10. monoidConcatMap :: (Storable a, Monoid m) => (a -> m) -> Vector a -> m

    storablevector	Data.StorableVector.Lazy

    Deprecated: Use foldMap instead.

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