1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
|
{-# LANGUAGE DeriveDataTypeable #-}
-- |
-- Module : Statistics.Distribution.FDistribution
-- Copyright : (c) 2011 Aleksey Khudyakov
-- License : BSD3
--
-- Maintainer : bos@serpentine.com
-- Stability : experimental
-- Portability : portable
--
-- Fisher F distribution
module Statistics.Distribution.FDistribution (
FDistribution
, fDistribution
, fDistributionNDF1
, fDistributionNDF2
) where
import qualified Statistics.Distribution as D
import Data.Typeable (Typeable)
import Numeric.SpecFunctions (logBeta, incompleteBeta, invIncompleteBeta)
-- | F distribution
data FDistribution = F { fDistributionNDF1 :: {-# UNPACK #-} !Double
, fDistributionNDF2 :: {-# UNPACK #-} !Double
, _pdfFactor :: {-# UNPACK #-} !Double
}
deriving (Eq,Show,Read,Typeable)
fDistribution :: Int -> Int -> FDistribution
fDistribution n m
| n > 0 && m > 0 =
let n' = fromIntegral n
m' = fromIntegral m
f' = 0.5 * (log m' * m' + log n' * n') - logBeta (0.5*n') (0.5*m')
in F n' m' f'
| otherwise =
error "Statistics.Distribution.FDistribution.fDistribution: non-positive number of degrees of freedom"
instance D.Distribution FDistribution where
cumulative = cumulative
instance D.ContDistr FDistribution where
density = density
quantile = quantile
cumulative :: FDistribution -> Double -> Double
cumulative (F n m _) x
| x > 0 = let y = n*x in incompleteBeta (0.5 * n) (0.5 * m) (y / (m + y))
| otherwise = 0
density :: FDistribution -> Double -> Double
density (F n m fac) x
| x > 0 = exp $ fac + log x * (0.5 * n - 1) - log(m + n*x) * 0.5 * (n + m)
| otherwise = 0
quantile :: FDistribution -> Double -> Double
quantile (F n m _) p
| p >= 0 && p <= 1 =
let x = invIncompleteBeta (0.5 * n) (0.5 * m) p
in m * x / (n * (1 - x))
| otherwise =
error $ "Statistics.Distribution.Uniform.quantile: p must be in [0,1] range. Got: "++show p
instance D.MaybeMean FDistribution where
maybeMean (F _ m _) | m > 2 = Just $ m / (m - 2)
| otherwise = Nothing
instance D.MaybeVariance FDistribution where
maybeStdDev (F n m _)
| m > 4 = Just $ 2 * sqr m * (m + n - 2) / (n * sqr (m - 2) * (m - 4))
| otherwise = Nothing
instance D.ContGen FDistribution where
genContVar = D.genContinous
sqr :: Double -> Double
sqr x = x * x
{-# INLINE sqr #-}
|
