Определение доверительных интервалов для числовых оценок параметров надежности P(t), Q(t), f(t), λ(t) Значение доверительной вероятности:
Таблица №6
Номер варианта
| 17
| Значение доверительной вероятности β
| 0,93
| Функция Лапласа в зависимости от значений аргумента:
Таблица №7
![](data:image/png;base64,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)
|
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAOCAIAAADmEAgNAAACuElEQVR4nM1VTUhqURAWEyRzYVhUVEQrMdpYkQQtJFcpEUE8IuSJSQoS/ZALN5ZIguCihaBIgW0KlRYiYrkQ3ZUYtEmCKPxJqkUWJIpB2Pvwhvlu92W56c1qzsw9M998M2cu4/X1lfY/CeOnAdBOTk7Oz8/5fP7Q0BAFII1G43A42tra/H7/wMBAxX50dDQyMvIxnE6nW19fb2xsrAPK09OTTCZTKpVSqVQsFq+trU1NTZEB2Wy2cDjs9Xp5PF7FeHBw0NfXRxm0s7NzcXFxa2urDkAmk0kkEk1OTkJvamrK5/O0CkPxeFyr1YK9bDaLY39/f09Pj9lsnp6exhH5LBYLZdCxsbGdnZ060Ly8vOzt7Z2enkJ3Op0dHR2zs7PvgGZmZlCo2+2+uroCh7FYLBQK4QsC0PHxcXt7O/Gl0Wjc2NhIJBIPDw8KhSISidze3pKS9fb2plKpasvm5ubS0lK1JRAIDA8PB4NBuVwukUh8Ph9hfwN0c3MDSsDb9vb23NxcsVi8vr5GOwjv/f09i8UidHQadIJtJpOJcLgCLwkQ4NZkCLyinomJifHx8dbW1kwm09XV9Q7IbrcvLCwkk0kwiaNerx8cHNzd3aWMheaOjo5eXFxwudz6tgZqQBM8Hg/0XC7HYDA4HA7hegP0qyxQkOPy8rK5ubn6fktLS6FQABnQ0+k0Rn55eXl1dXV/fx92eEn5arYM09Pd3X13d4d61Go1XGw2+y9AEIRGUx8fH8EhhqY6nFAoRE0EIHgPDw8bGhqQdWVlRaVSYR5JgGq2DP1CSXgQGMT5+XkMZcX1DghTcnZ2Rnkfd0qlEqFjgAjl+fmZVu61QCD4PD1JotEonU7/XZaP3i9tarwCl8sFSj66MIxWq/VbgAwGA3bpv7xf/XVgL1Da8dy+hYZWXrOfeH/+X0aSP4v4J1yW5c5AAAAAAElFTkSuQmCC)
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![](data:image/png;base64,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)
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![](data:image/png;base64,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)
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![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADkAAAATCAIAAAClTTKCAAADS0lEQVR4nNVWS0hqURQ1MirR6EflKIqooCZFNFAhqlEU5DB5UCEkFPQjKUgwEDQcZZO+9BtU1siBKASVBVZGEUFof40IraBAK/oMauEJuU8vavR7bw8u5+6z9znrrL3XuZf5+vrK+E+M+QN73N7eVlVVmc3mT67z7VhfXl46OzvX19c/v9S3Y42KihodHR0bG/v8Uj/RAx+yi4sLg8EAFdXU1MTFxVGnvgZrU1PT8PBwamqqXq8vLCyEh8vlXl5eklmj0RiYsrKyUlJS4uccHx/f3t7u7u6enJzMyck5PT2NjY39YqwDAwPLy8s6nQ4bEI/T6QwSf3h4mJ2d7ec8ODjo7+8HViaTiWPHxMQoFIre3t6vwQrmpFLp0tISQZafn5+bmzs4OCgQCHwxd3d3xcXFGOTl5W1tbRGecDaJRALuqasNDQ3V19cDqMPhmJiY6Onp8evyd6w4gVKpxJZXV1e4X46Pj8PBiv0yMzN3dnbu7+/Ly8tBzNTUVENDg81m88Ww2Wyr1eqXuLa21tXVRfXgupifn0dx0tLSnp6e9vf3n5+f1Wo1DVa5XG4ymebm5nAm5PimMzIyzs7OqAl9fX2tra1kjJTp6WmgAQFlZWWQPATR0dER8pDgIjExkeqBnoqKitAYLpeLz+fjVSQS+Tr+L6wML7XV1dUIIuIgZrfbg2yJrpqdna2trV1cXKysrMSdr1KpAhUTaG63Ozo6muqBmNAAZAxe4+PjEeDxeOixonAJCQmoJnU6OK/oqpaWlubmZtRLq9UmJyeXlpaOjIyExBoREUF9vb6+tlgsqCrDqzAoD9QGhr1jhT4eHx/b2trALqrpmw7OK1aEbDFISkpCWXHUkCiJcTgckOejdmZmBo2EGyoyMlIsFstkspSUFOBBGA3Wurq6zc1NJEPX7e3tIC/MXR8eHiBzVL+iomJjYyPMrKysLKRARuQVDQDVC4VCOLE7kR3GQEyD9fz8nAxwmjD3I8Zisfb29j6UAuPxeOCVjHd3d/H84zVqDAqFpqLB+sPW2Nh4c3OTnp6OsUajQccHxiwsLFDvacZvYcXnDVosKCiAcFdXV2nleHR0hE8u1fNr/y64ifEEtScnJ7QBOIyf55/7zwpib05mf//egQIYAAAAAElFTkSuQmCC)
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![](data:image/png;base64,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)
| 0
| 0
| 0,95
| 0,8209
| 1,9
| 0,9928
| 0,05
| 0,0564
| 1
| 0,8427
| 1,95
| 0,9942
| 0,1
| 0,1125
| 1,05
| 0,8624
| 2
| 0,9942
| 0,15
| 0,168
| 1,1
| 0,8802
| 2,05
| 0,9953
| 0,2
| 0,2227
| 1,15
| 0,8961
| 2,1
| 0,9963
| 0,25
| 0,2763
| 1,2
| 0,9103
| 2,15
| 0,9970
| 0,3
| 0,3286
| 1,25
| 0,9229
| 2,2
| 0,9976
| 0,35
| 0,3794
| 1,3
| 0,934
| 2,25
| 0,9981
| 0,4
| 0,4284
| 1,35
| 0,9438
| 2,3
| 0,9985
| 0,45
| 0,4755
| 1,4
| 0,9523
| 2,35
| 0,9988
| 0,5
| 0,5205
| 1,45
| 0,9597
| 2,4
| 0,9991
| 0,55
| 0,5633
| 1,5
| 0,9661
| 2,45
| 0,9993
| 0,6
| 0,6039
| 1,55
| 0,9716
| 2,5
| 0,9995
| 0,65
| 0,642
| 1,6
| 0,9736
| 2,55
| 0,9996
| 0,7
| 0,6778
| 1,65
| 0,9804
| 2,6
| 0,9997
| 0,75
| 0,7112
| 17
| 0,9838
| 2,65
| 0,9998
| 0,8
| 0,7421
| 1,75
| 0,9876
| 2,7
| 0,9998
| 0,85
| 0,7707
| 1,8
| 0,9891
| 2,75
| 0,9999
| 0,9
| 0,7969
| 1,85
| 0,9911
| 2,8
| 0,9999
| 0,95
| 0,8209
| 1,9
| 0,9998
| 3
| 1
| Любое значение искомого параметра, вычисленное на основе ограниченного числа опытов, всегда будет содержать элемент случайности. Такое приближенное значение называется оценкой параметра.
Вычисляется оценка (среднее значение):
![](data:image/png;base64,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)
| (10)
| где k – число значений случайной величины λ, k = 10.
Определяется несмещенная оценка (дисперсия, вычисленная по опытным данным):
![](data:image/png;base64,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)
| (11)
|
|