분포추정

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  • 2001. 11.2001. 11.

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    - - -

    - () - , , MTTF -

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    (cumulative distribution function) t X F(.) t

    .

    (Probability Density Function)

    f(x) f(x) X .

    )()( tXPtF =

    ).()(}{}{}{ aFbFaXPbXPbXaP == ,

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    : =2: =2 0,2)( 2 = tetf t tetF 21)( =

    tetFtR 2)(1)( == == t

    t

    eet 2

    22)(

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    0 ,)()( )(1 = tettf t

    )(0

    1)()( tt

    edxxftF == )()(1)( tetFtR ==

    1)(

    )(1)()(

    )(1)()(

    ===

    te

    ettFtft

    t

    t

    :

    (shape parameter):

    (scale parameter)

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    =0.5

    =1

    =3

    =1.5

    0 ,)()( )(1 = tettf t

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    =0.5

    =1

    =3

    =1.5

    11

    1)()( = tt >1: increasing=1: constant

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    MTTFMTTF

    X

    X

    1 )(][

    00 ==== dxexdxxxfXEMTTF x

    == 11][XEMTTF

    )1()1()(0

    1 == dxex x

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    =2, =0.0001 . -

    t=10,000 ()

    t=10,000 ()

    t=20,000 ()

    27.88625000 )5.0()0002.0/1(][ ==== XEMTTF

    3679.0)10000( 110000)0001.0( 2 === = eeR tt

    0002.0)1(0002.0)10000( 12 ==

    0004.0)2(0002.0)20000( 12 ==

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    :

    2][;][ sXVarXXE ==

    F(t)

    t

    F(t)

    t

    x Y

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    -2.3 0 2.3 4.6

    )(11lnlntF

    Y =

    tX ln=

    0.1 1 10 100

    Y=063%

    10%

    0

    -2

    -2

    -4

    2

    X=0

    1

    F(t)

    t

    X=1,Y=01

    T

    )( TF

    m m

    )/11(/10 mtm += { } 2/12/10 )/11()/21( mmt m ++=

    mt /10=0/1)( ttmetF =

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    n 0

    (type I censored data)

    12n

    0

    t1t2

    tn

    12n

    0

    t1t2

    tnT

    (type II censored data)

    n

    T

    r

    12n

    0

    t1t2

    tnyr

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    ((Maximum Likelihood Estimation)Maximum Likelihood Estimation)

    f(t; ), : parameter(s) Data:

    (likelihood function)

    :

    ),...,,( 21 nttt

    );();();();( 21 ntftftfdataL L=

    L()

    *

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    (complete or uncensored data)

    );();(1

    =

    =n

    iitfdataL

    (type I censored data)

    [ ] rnri

    i TRtfdataL

    == );();();(

    1

    (type II censored data)

    (r: T )

    [ ] rnrr

    ii yRtfdataL

    =

    = );();();(1

    ( : r )ry

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    0 ,);( = tetf t

    =

    = ==

    n

    ii

    it

    nn

    i

    t eedataL 11

    );(

    =

    =n

    iitndataL

    1

    ln);(ln

    0ln

    1

    ==

    =

    n

    iit

    nL

    tt

    nn

    ii

    1

    1

    ==

    =

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    (())

    (type I censored data)

    ( ) ==

    == r

    ii

    it

    rTrnr

    i

    trnT eeeedataL 1)(1

    );(

    =

    +=r

    iitrTrnL

    1

    ln)(ln

    0)(ln

    1

    =+=

    =

    r

    iit

    rTrnL

    =+

    = ri

    i Trnt

    r

    1

    )(

    (type II censored data)

    =

    += ri

    ri yrnt

    r

    1

    )(

    =/

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    =0.1, 0.2,

    lnL (, )

    0 ,)(),;( )(1 = tettf t

    == =

    =

    =

    n

    ii

    itn

    ii

    nnn

    i

    ti etetdataL 1

    1

    1

    1

    )(1)();,(

    ==

    ++= ni

    i

    n

    ii ttnnL

    11ln)1(lnlnln

    0ln

    0lnlnlnlnln

    1

    1

    111

    ==

    =++=

    =

    ===n

    ii

    i

    n

    ii

    n

    ii

    n

    ii

    tnL

    ttttnnL

    =

    itn

    =

    = ni

    it

    n

    1

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    (())

    (type I censored data)

    ))((

    1

    1 1);,( Trntr

    ii

    rr eetdataL

    r

    ii

    = = =

    TrnttrrL ri

    i

    r

    ii )(ln)1(lnlnln

    11++=

    ==

    Trnt

    rL r

    ii

    1

    1

    1 )(ln =

    =

    =

    += ri

    i Trnt

    r

    1)(

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    MinitabMinitab

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    MinitabMinitab (())

    Weibull, uncensored Case

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    Minitab Minitab WeibullWeibull, Uncensored Case, Uncensored Case

    AD* 1.488Goodness of Fit

    1000 10000

    1

    5

    10

    20

    304050607080909599

    Weibull Probability

    P

    e

    r

    c

    e

    n

    t

    0 5000 10000 15000

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    Survival Function

    P

    r

    o

    b

    a

    b

    i

    l

    i

    t

    y

    0 5000 10000 15000

    0.0000

    0.0001

    0.0002

    0.0003

    0.0004

    0.0005

    0.0006

    Hazard Function

    R

    a

    t

    e

    0 5000 10000 15000

    0.00000

    0.00005

    0.00010

    Probability Density Function

    Overview Plot for F-timeML Estimates - Complete Data

    ShapeScale

    MTTF

    FailureCensor

    2.10317576.4

    6710.3

    80

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    Censoring OptionsCensoring Options

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    Minitab Minitab WeibullWeibull, type I censored, type I censored

    AD* 14.81Goodness of Fit

    1000 10000

    1

    5

    10

    20

    304050607080909599

    Weibull Probability

    P

    e

    r

    c

    e

    n

    t

    0 10000 20000

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    Survival Function

    P

    r

    o

    b

    a

    b

    i

    l

    i

    t

    y

    0 10000 20000

    0.0000

    0.0001

    0.0002

    0.0003

    Hazard Function

    R

    a

    t

    e

    0 10000 20000

    0.00000

    0.00005

    0.00010

    Probability Density Function

    Overview Plot for F-timeML Estimates - Type 1 (Time) Censored at 10000

    ShapeScale

    MTTF

    FailureCensor

    1.58168614.4

    7731.9

    62

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    Minitab Minitab WeibullWeibull, type II censored, type II censored

    AD* 14.81Goodness of Fit

    1000 10000

    1

    5

    10

    20

    304050607080909599

    Weibull Probability

    P

    e

    r

    c

    e

    n

    t

    0 10000 20000

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    Survival Function

    P

    r

    o

    b

    a

    b

    i

    l

    i

    t

    y

    0 10000 20000

    0.0000

    0.0001

    0.0002

    0.0003

    Hazard Function

    R

    a

    t

    e

    0 10000 20000

    0.00000

    0.00005

    0.00010

    Probability Density Function

    Overview Plot for F-timeML Estimates - Type 2 (Failure) Censored at 7

    ShapeScale

    MTTF

    FailureCensor

    1.58168614.4

    7731.9

    62