
One-sided reliability confidence lower limit (Normal distribution complete sample)
time:
2024-08-05 03:38:57
- GB 4885-1985
- Abolished
Standard ID:
GB 4885-1985
Standard Name:
One-sided reliability confidence lower limit (Normal distribution complete sample)
Chinese Name:
正态分布完全样本可靠度单侧置信下限
Standard category:
National Standard (GB)
-
Date of Release:
1985-01-29 -
Date of Implementation:
1985-10-01 -
Date of Expiration:
2010-02-01
Standard ICS number:
Sociology, Services, Organization and management of companies (enterprises), Administration, Transport>>Quality>>03.120.30 Application of statistical methodsChina Standard Classification Number:
Comprehensive>>Basic Subjects>>A41 Mathematics
alternative situation:
Replaced by GB/T 4885-2009
Release date:
1985-01-29Review date:
2004-10-14Drafter:
Zhu Fengshi, Zhou Zhengfa, Xu Furong, Zhou Yuanquan, Zhang Yelin, Wang TaijiaDrafting Organization:
Working Group of the Reliability Statistics Method Subcommittee of the National Technical Committee for Standardization of Statistical Method ApplicationFocal point Organization:
National Technical Committee for Application of Statistical Methods and StandardizationProposing Organization:
National Technical Committee for Application of Statistical Methods and StandardizationPublishing Department:
National Bureau of StandardsCompetent Authority:
National Standardization Administration

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Summary:
The statistical terms and symbols used in this standard are referred to GB 2258-82 "Statistical Terms and Symbols", and the reliability terms are referred to GB 3187-82 "Basic Terms and Definitions of Reliability". GB 4885-1985 Normal Distribution Complete Sample Reliability One-Sided Confidence Lower Limit GB4885-1985 Standard Download Decompression Password: www.bzxz.net
The statistical terms and symbols used in this standard are referred to GB 2258-82 "Statistical Terms and Symbols", and the reliability terms are referred to GB 3187-82 "Basic Terms and Definitions of Reliability".
The statistical terms and symbols used in this standard are referred to GB 2258-82 "Statistical Terms and Symbols", and the reliability terms are referred to GB 3187-82 "Basic Terms and Definitions of Reliability".

Some standard content:
1 Introduction
National Standard of the People's Republic of China
One-sided reliability confidence lower llmlt(Normat distribution complete sample)UDC 519.28
GB 4885-85
1.1 The statistical terms and symbols used in this standard can be found in GB3358-82 "Statistical Terms and Symbols", and the reliability terms can be found in GB3187-82 "Basic Terms and Definitions of Reliability". 1.2 This standard is applicable to the case where the product characteristic value X can be reasonably considered to obey the normal distribution. Its distribution density function is f(r)=
aV2元exp [
Formula μ is the population expected value and is the population standard deviation. ()\, 18+8
1.3 This standard is based on the product characteristic value X from the same population of sample size n independent random sample a1,2, medicine and given
a certain confidence level, when μ, unknown, for a given characteristic value upper (or lower) limit for the given method to determine the reliability of the one-sided confidence lower limit R.
2 Determination of reliability one-sided confidence lower limit
This standard provides two methods to determine the reliability lower limit, the table method and the direct method. The table method is simple and easy, but the accuracy is low. The direct method should be used in situations where higher accuracy is required. 2.1 Table method
2.1.! Calculate the sample mean and sample standard deviation s from the sample observation values 1, 2, ., n: (; -)2
2.1.2 Calculate the coefficient K according to the upper (lower) limit of the characteristic value: When the upper limit U is specified, =-
When the lower limit L is specified, K:
2.1.3 From the given confidence level, sample size n and the calculated K value, refer to the K coefficient table in Appendix A of this standard to obtain the reliability lower limit RL of the characteristic value X issued by the National Bureau of Standards on January 29, 1985
Implementation on October 1, 1985
GB4885—85
2.1.4*Example
A pressure vessel is subjected to internal pressure, and its compressive strength obeys the normal distribution. The failure stress of the container in 10 static tests is 2565, 2960, 2685, 2755, 2790, 2720, 2634, 2860, 2905, 2825 kg/cm2. The lower limit of the container compressive strength is 1.=2200 kg/cm2. Given the confidence level y=0.90, it is required to estimate the one-sided lower confidence limit of the reliability of the container. According to the 10 test data of the failure stress, the sample mean and sample standard deviation s are calculated: =2769.9, s=123.1
2769.9-2200
According to =0.90, n=10, K=4.6300, the K coefficient table in Appendix A is obtained: R,= 0.9990
That is, the one-sided confidence lower limit of the reliability of the container under the confidence level =0.90 is 0.9990. 2.2 Direct method
2.2.1 Solve the nonlinear equation
nX +nhu)
XL. In the formula,
「-U, when the upper limit of the characteristic value is given,
(L-, when the lower limit of the characteristic value is given,
in (·) standard normal distribution function
r(\=l)
——gamma function with parameter —
2.2.2 Calculation of one-sided lower confidence limit of reliability RLR=Φ()
Appendix B (reference) of this standard gives a computer program for the direct method. 36
(n-1)s*h dh = 1 -y .(1)
GB 4885—85
K coefficient table for determining the one-sided confidence lower limit of the reliability of the normal distribution (supplement)
The parameter range and table interval of this coefficient table are:
=0.01,0.05,0.10,0.20,0.40(0.10)0.90,0.95,0.99R=0.50,0.60(0.05)0.95,0.99,0.925,0.93,0.935,0.9,0.945,0.95,0.96,0.9n=2(1)50(10)120
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Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.
National Standard of the People's Republic of China
One-sided reliability confidence lower llmlt(Normat distribution complete sample)UDC 519.28
GB 4885-85
1.1 The statistical terms and symbols used in this standard can be found in GB3358-82 "Statistical Terms and Symbols", and the reliability terms can be found in GB3187-82 "Basic Terms and Definitions of Reliability". 1.2 This standard is applicable to the case where the product characteristic value X can be reasonably considered to obey the normal distribution. Its distribution density function is f(r)=
aV2元exp [
Formula μ is the population expected value and is the population standard deviation. ()\, 18+8
1.3 This standard is based on the product characteristic value X from the same population of sample size n independent random sample a1,2, medicine and given
a certain confidence level, when μ, unknown, for a given characteristic value upper (or lower) limit for the given method to determine the reliability of the one-sided confidence lower limit R.
2 Determination of reliability one-sided confidence lower limit
This standard provides two methods to determine the reliability lower limit, the table method and the direct method. The table method is simple and easy, but the accuracy is low. The direct method should be used in situations where higher accuracy is required. 2.1 Table method
2.1.! Calculate the sample mean and sample standard deviation s from the sample observation values 1, 2, ., n: (; -)2
2.1.2 Calculate the coefficient K according to the upper (lower) limit of the characteristic value: When the upper limit U is specified, =-
When the lower limit L is specified, K:
2.1.3 From the given confidence level, sample size n and the calculated K value, refer to the K coefficient table in Appendix A of this standard to obtain the reliability lower limit RL of the characteristic value X issued by the National Bureau of Standards on January 29, 1985
Implementation on October 1, 1985
GB4885—85
2.1.4*Example
A pressure vessel is subjected to internal pressure, and its compressive strength obeys the normal distribution. The failure stress of the container in 10 static tests is 2565, 2960, 2685, 2755, 2790, 2720, 2634, 2860, 2905, 2825 kg/cm2. The lower limit of the container compressive strength is 1.=2200 kg/cm2. Given the confidence level y=0.90, it is required to estimate the one-sided lower confidence limit of the reliability of the container. According to the 10 test data of the failure stress, the sample mean and sample standard deviation s are calculated: =2769.9, s=123.1
2769.9-2200
According to =0.90, n=10, K=4.6300, the K coefficient table in Appendix A is obtained: R,= 0.9990
That is, the one-sided confidence lower limit of the reliability of the container under the confidence level =0.90 is 0.9990. 2.2 Direct method
2.2.1 Solve the nonlinear equation
nX +nhu)
XL. In the formula,
「-U, when the upper limit of the characteristic value is given,
(L-, when the lower limit of the characteristic value is given,
in (·) standard normal distribution function
r(\=l)
——gamma function with parameter —
2.2.2 Calculation of one-sided lower confidence limit of reliability RLR=Φ()
Appendix B (reference) of this standard gives a computer program for the direct method. 36
(n-1)s*h dh = 1 -y .(1)
GB 4885—85
K coefficient table for determining the one-sided confidence lower limit of the reliability of the normal distribution (supplement)
The parameter range and table interval of this coefficient table are:
=0.01,0.05,0.10,0.20,0.40(0.10)0.90,0.95,0.99R=0.50,0.60(0.05)0.95,0.99,0.925,0.93,0.935,0.9,0.945,0.95,0.96,0.9n=2(1)50(10)120
.5000000
-2 2.50050
.96549
.89222
.67764
-62659
.60503
.56785
, 52302
.49843
.48737
-44134
-,42626
-,40629
.39443
-35565
.34761
.34010 | |tt | .40094Www.bzxZ.net
.35211
—.33157
.28083
.23036
.21006
, 18397
.15529
-13720
.13169
.12641
.12135
.11649
.11181
-,10731
—.10298
.09880
.09477
.09087
.08711
.08347
.07994
.07652
—.04735
.00677
.02074
.03156
.04098
GB4885—85
.6500000
-:44174
~.30959
—27839
—25124| |tt||—.04734
.03993
.03289
.00242
.00289
.00798
.01288
.02210
.02645
.03065
.03470
.03862
.04240
.04959
.05302
.05635
.0 8480
.10685
.12460
.15172
.16241
.17174
.7000000
: 40935| | tt | t||.06830
.07675
.08473
.09228
.09944
.10624
.11272
.118 89
.12478
.13041
.13581
.14098
.14594
.15071
.15529
.15971
.16397
.1680 7
.17204
.17587
.17957
.18316
.18663
.18999
.19326
.22127
-24307
.28765
-29832
.30764
.7500000
- 5.10993
·44679
-22598
-15915
—·10659
.00300
-05329
·07427
-09311
.11017
·12572
·13998
.1531 1
·16527
.17656
-18710
·20622
-21493
.22314
.23091
-23828
.24527
·25192
-26430
-27008
.28600
.29089
-29559
-30011
.30447
-31273
- 31665
.32044
.32411
-32766
.33111
.33445| |tt||.33769
:36557
.38734
.40498
.41965
.43211
·44287|| tt||·45228
.8000000
.79235
-,11743
.03965
-01973
.06727
.10660
.13993
.16869
.21622
.23621
. 25425
.27066
.28566
.29946
.31221
.32405| |tt||.33507
.34538
.36413
.37269
.38079
.38846
-40265|| tt||.40924
.41552
.42152
-42727
.43277
, 43 805
.44312
.44799
.45268
.45720
.46156
.46577
.46983
.47756
.48124
-48481
.48827
-49162||tt ||.49488
.52298
.54502
.56292
.57784
.59054
.60152||tt| |.61114
8500000
.14533
.00420
.08886
.1573 6
.21103
.25481
.29153
.32299
.35038
.37455
.41551
.43310
.44915
.47749
.49009
.50181
.52301
.53265
.54172
.55030
.55841
.56610
. 57341
.58037
.58701
-59334
.59940
.60521| |tt||.61078
.61612
.62126
.62620
.63096
.63555
.63998|| tt||.64426
.64840
.65240
.65628
.66003
.6 6367
.66720
.67063
.67395
.70274
.72540
.74385
.77242
.78380
.79379
.9000000
-70711
.12260|| tt||.23770
.31886
.38100
.43093
.47239
.50765
.53817||tt ||.56498
.58879
.61015
.62947
.64706
.67 803
.69176
.70453
.71643
.72757
.73803
.74787
-75716
.76595
.77427
.78218
.78971
.79688||tt| |.80372
.81027
.81653
.82254
.82831
.83385
.83918
.84926
.85403
.85864
.86310
.86741
.87158
.87562
.87954
.88334
.88702
.89061
.89409| |tt||.92426
.94809
.96755
.98385
.99777
GB 4885-85
.9500000
.00015
.29478
.44286
.54313
-61829
.72685
.76817
.83481
.86232
.88690
.90907
.92922
.94763
. 96456
.98021
.99472
.990 0000
.78155
.92360
.9950000
.70758
.9990000
.96918
1, 60542
168268
185065
2 -04948
2·11595
2-55100
.9995000
.9999000
GB4885—85
.9999500||tt ||.9999900
.9999990
.9999999
.5000000
-73445
-57968
—.49432
-47330
—.45477
-38665
: 34984
.34218
.33499
—, 32825
—32189
-29487
—.29024
—.27368
-26640
.25967
.25343
.24762
. 21574
.18608
, 17521
.16604
.15818
-, 15133
.6000000
GB 4885---85
.6500000
—.74556
—.58284
—.41311
—.31943
. 28574
—25754
—,21260
.19427
.16341
.13828
:11729||tt| |—.09940
—.08392
-,07692
, 04754
—.04257
.03333
.02491| |tt||.01720
.00252
.00541
.00819
.01088
.01348
.0160 0
.01844
.02081
.04108
.05679
.07991
.08876
.09637
.10301
.54681
.17264
.11521
.07303
—.04027
.0 1385
.00807
.01772
.02665
.03494
.04267
.04989
.05666
.06303
.06904
.07471
.08009
.08518
.09003
.09904
.10324
-10726
.11479
+11833
.12173
. 12501
.12816
.13120
.13413
.13696
.13969
.14234||t t||.14490
.14738
.14978
.15211
.17211
.18765
.20019||tt ||.21940
.22698
.700000
—,58033
-35547
-10333
-0598 0
-,02473
.00437
.02906
.05038
.06904
.08557
. 10035
.11367
.12576
.13680
.14694
, 15630
.16497
.1 7304
.18762
.19424
.20047
.20635
.21191
.21719
.22220
.22696
.23583
.23997
.24393
.24773
.25137
.25823
.26147
.26459
.26760
.27051
, 27331
. 27603
.27865
.28119
.28365
.28604
.28836
.30827||t t||.34678
.35562
.36325
.36991
.7500000
—.34938
-00313|| tt||.05449
.09482
.12768
,15518
.17868
.19909
.217 04
.23299
.24731
.26025
.27203
.28282
-29275
.30193
.31045
.31838
.33276
.35681
.36702
.37175
.3 7627
.38058
.38471
.38866
.39245
.39609
.39958
.40294
.40618
: 40931
.41232
-41523
.41804
.42076
.42595
.42842
.43081
.43314
.45319
.46886
+ 48156
.49212
.50109
.50884
.51562
.8000000
: 52144| |tt||, 12736
.02072
-11001
.17273
.22037
.25834
.28962|| tt||.33872
.35854
.37606
.39169
: 40576
.41851
.4301 6
.45069
.45982
.46830
.47622
.48363
.49059
.49714
.50332
.50917
.51471
.52498
.52975
.53865
.54 282
.54681
-55064
.55432
.55785
.56126
-56454
.56771
.57076
.57371
.57657
.57933
.58200
.58460
.58711
, 58955
, 59192
.61234
.62836
.64136
.66141
.66937
.67635
.8500000
.17385
.09477
.21906
.29928||tt ||.35757
-40276
.43927
.49550
.51786
.53748
.55489||tt| |.58456
.59736
.60906
.61983
.62978
.63901
.64760||t t||.65563
.66316
.67024
.67691
.68321
.68918
.69484||tt ||.70022
.70534
.71022
.71488
.71935
.72362
,72771|| tt||.73165
-73543
.73907
.74257
.74595
.74921
.75236||tt ||.75540
.75834
.76119
.76395
.76663
.76922
.77419| |tt||.79533
.81195
.82547
.83675
.84636
.85468
.86197|| tt||.9000000
.13802
.33448
.44389
.57482
.61904
.655 21
.68557
.71157
.73419
.75412
.77187
.78782
.80226
.81543
.82749
.83861
.84890
.85846
.86738
.87 572
188355
.89092
.89788
.90445
.91068
.91660
.92222| |tt||.92758
.93270
.93759
.94227
.94675
.95106
.9 5519
.95917
.96299
.96668
.97024
.97367
.97699
.98020
.98330
.98631
.98922
.99205
.99479
.99745
GB 4885-
.9500000
.47479
.63914
.74330
.81778
.87477
. 92037
.95803
.98987
1-01730
.9900000
.95381
. 9950000
.9990000
.9995000
2,70452
.9999000
GB4885
. 9999500
.9999900
.9999990
.9999999
.5000000
: 1.08866
.68667
:54418
.50025
.16661
.34729
.33515
-32421
-30521
.29689
.28921
.28210
.26933
.25816| |tt||.25307
.24827
.241373
.23943
, 23536
.23148
.22779|| tt||.22092
.21770
.21168
.2088.1
.20612
.19622
.1 9177
.18966
.18563
.18372
.15.166
.11.119
.13610
.12294
.11764
.6000m0
.46298
.36269
.21275
.18333|| tt||138-14
.12074
.07950
-06857
.04136
.02669
.02015|| tt||.01405
-00834
.00299
-00677
.01125
.02697
.0304 4
-03375
-03692
.03995
.04286
.04833
.05091
.05339
.05578
.05809
.06032
.06247
.06455
-06656
. 06851
-07040
-07224
.08795
.10015
.10998
.11812
.12500
.13093
.13610
GB4885
.6500000
.92143
.2950m|| tt||.07088
.043.1
.02055
.00111
.01570
013042
.043.47||tt| |.05514
.06565
.07520
.08393
.09193
.09932
.112 53
.11847
.12403
.12925
.13416
.13879
.14733
.15127
.15502
.15859
.16200
.16525
.16837
.17135
.17421
-17696
.17960
.18214
.18459
.18695
.18923
.19343
.19761
.19954
,20111
.20322
.21880
.23093
.24071| |tt||.21883| |tt||,25571
.26164
.26681
.7000000
.6195-1
.26085
.12982
105232
-00127
.0-11.17
.07319
.09911
.13942
.15655
.1619174
.18236
.19367
.20389
.21319
.22171
.22954
.23677| |tt||.243-18
.24473
.25557
.26105
.26619
.27103
.27361
.27991||tt| |-28405
.28795
.29166
.29858
.30181
.30191
.30787
.31345
.31608
.31861
.32105
.32340
.32567
. 32787
.3299 9
, 33204
.33103
.33596
.33783
.35523
.36740
.39234
-39832
7500000
.33295
.07533
.03632
.10584
.15523|| tt||.19291||tt ||.22299
.21778
.26870
, 28667
.30233
-31619
.32854||tt| |, 33961
.34969
.35886
136726
.37501
.38217
.38883
. 39504
.100 85
.40630
.41142
.41626
, 42082
.12515
1-13688
. 44381
.44706
.15016
14560m
.45875
, 46139
.46391
.46639| |tt||.46871||t t||.47326
.47540
.17747
.47948
:48142
: 48331
.48514||tt ||.50091
-51325
.53155
.55003
.08379
.11142
.20878||tt| |.27243
.354 74
.38373
.40781
, 12826
4-1591
, 17507
.49837
: 50839
.52596
.53373
.54092
.55386
.55971
.56521
.57038
.57526||tt ||: 57988
.58426
.58842
.59238
.60319
.60618
.60964||tt| |.61267
.61557
.61837
-62106
.62366
-62616
.62858
:635 35
163747
.63952
.6-151
.64343
.64531
.66145
- 67410
.68437
.69293
.70020
.71199
.8500000
.30876
.39642
-50079|| tt||.53580
.56432
.58818
.60854
.62621
.64173
.66790||tt ||.67907
.68924
.69865
.70711
.71502
.72236
.72920||tt| |.73559
.7 4158
.74721
.75252
.75754
.76228
.76678
.77106
.77514
.77902
.78273
.78628
.78968
.79294
.79607
.79907| |tt||.80196|| tt||.80475
.80743
.81002
.81253
.81494
.81728
.81955||tt ||.82174
.82387
.82593
.82793
.82987
.81665
.85983||tt| |.87055
.8 7949
.88709
.89367
.89943
.9000000
.40257
.53478
.61707
.67525
.71941
.75450
.78333
.80759
.82840
.84653| |tt||.86251
.87674
.88954
.90112
.91168
.92136
.03028
.93853| |tt||.94620
.95335
.96004
.96631
.97222
-97779
,98804|| tt||.99278
.99728
1-00957
GB4885--85
.950n000
.71731
.84005
.92238||tt| |.98218
1,41536
.9900000
.9950000
2,09203
.9990000
.9995000||tt ||.9999000
GB 4885--85
.9999500
.9999900
.9999990
4, 16685
.9999999
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