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. . . . ... ... ... ...
2014 5555
, s2, ( 2 ). (pointestimation) (interval estimation) .
x
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, . - , .... . , .
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(point estimation), , . , , , (intervalestimation), , , , .
, , . , 25 25 ( 1
).
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X (..) FX (x; ) F(x; ) . {x1, . . . , xn} X n. g(x1, . . . , xn) .
(estimator) = g(x1, . . . , xn).
{x1, . . . , xn} n, {x1, . . . , xn} .. {X1, . . . , Xn}, F(x; ). .. {x1, . . . , xn} ( .. {X1, . . . , Xn}) ( ..). ( {x1, . . . , xn}) , ........ = E ( ) 2 = Var( ).
.. X 2.
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2
2
; :
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(unbiased) () ,
, .
.. X .
s2 2
2
x
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, . (consistent) ( )
. (effective) ,
(adequate) .
, s2 2, .
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.. X , F(x; ) f (x; ), X X . {x1, . . . , xn}. .
, , , , , .
, F(x; ) 2. , 2 .
[a, b], a b 2
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( 1, 2) 2, :
1. s2 2 ,
2. s2
( 1, 2) 2.
(method ofmoments). : 2 .
. . . .
1 25 . 1. s2
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5.67 2 0.375.
.. X ( ) N(, 2), X .
, , , .
X = xi
f (xi ; ) ( X P(X = xi)). {x1, . . . , xn} , n (likelihood function)
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, {x1, . . . , xn} . L(x1, . . . , xn; 1) > L(x1, . . . , xn; 2) 1 2 , 1 2 {x1, . . . , xn}. , L(x1, . . . , xn; ) ( ) log L(x1, . . . , xn; ). (maximum likelihoodestimator)
2 .. ,
( n)
.
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. .. n. , . . ..... . . . . . . . [ [ [ [1111, , , , 2] 2] 2] 2] .... , .
.. X , , = E( ) = . , , n . n . 2
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( )
(standarderror)
.. =
, .
, X .
. . . . 2 .. X .
:
1. .. X N(, 2) (n > 30)
.. N(, 2/n).
2. , .. X
.
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, .. X .. X1, . . . , Xn .
N(, 2/n), .. z
[z/2, z1/2], z 1 1 1 1 ,
, z/2 z1/2, . /2 1/2 z/2 z/2
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(z) . z < z/2 z > z1/2 . % . z [z/2, z1/2] 1.
0 z/2 = z1/2.
[z/2, z1/2] .
, 1 .. z z1/2 z1/2 = 1(1/2) .
= 0.05 [1.96, 1.96] .. z 0.95, z0.975 =
1(0.975) = 1.96. [ , , . z1/2 z/2 z/2 z/2].
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[z/2, z1/2] 1 .
1 (confidence level) (confidence interval) 1.
:
1 1 1 1 () () () () ....
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:
. . . . 95% 1. 2=0.38.
, .. , ( ).
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Q1 Q3.
.
.
X N(, 0.38) N(, 0.38/25), n = 25 .
:
1. 1 = 0.95 ( = 0.05).
2. z0.975= 1(0.975) = 1.96.
3. ( = 5.67)
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95% [5.43, 5.91].
= 5.67 95% .
2 .. X s2. (n > 30) s2 2
s2 . .
n X , .. t
student t n1
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. n t z . , 2 s2 ttttn1,1/2n1,1/2n1,1/2n1,1/2 z1/2 student. [ t 1/2 n1. student n1 =24 1 = 0.95.] 1
( ). .. z1/2. tn1,1/2 student. s2 = 0.375
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student, 1 /2 = 0.975 n 1 = 24,
t24, 0.975 = 2.064
n student .
.. X . [ X , .. .] ( ) .
= X .. X = X .
. Wilcoxon . ( ).
x~
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. :
2 .. X [ , ..].
n [ n , , ].
1 [ , ]. 95%.
.
.. X n .
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.. .. . , n n n n .. .. n. , .. X , .. . ..
n .. w
tn1,1/2 n . n n tn1,1/2 z1/2. n
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. . . . 95% .. student ( ) [5.42, 5.92]. .. w = 5.92 5.42 = 0.50. ( w = 0.25) 25
2
2 s2 2
X2
n 1
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X2 . X2 .
X2 5, 24 50
1 X2
X2 : 2 n1,/2 P(
2
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X2 n1=24 1 = 0.95.
2 (1 )% 2
X2 24
1 = 0.95.
. . . . (.1) 2 . ( ) s2=0.375. n1=24 = 0.05 X2 222224, 0.02524, 0.02524, 0.02524, 0.025= 12.4 2222 24, 0.97524, 0.97524, 0.97524, 0.975 = 39.4 ( ). 95% 2
95% ..
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s2 = 0.375 . 2
s2, X2 student. ( ) X2 . .
p
.. , ( 1) ( 0). p. [ p Bernoulli]. . p n
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p
m n . n
, p :
p
.. p
n:
0.25. w ..
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. . . . n = 100 m = 12 .
p
95%
z1/2 = z0.975 = 1.96)
95% [0.056, 0.184] , .
p 95% w = 0.05 ( 5 ). n ( z1/2 = z0.975 = 1.96 w = 0.05)
. 95% .. 1/3 15
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