Table 9.10.8: $\gamma$-values for Computing Threshold of Three-Parameter Weibull Distribution

n	Anderson-Darling Test	T90	T99
10	0.50000	.	0.79644	0.85391	.	0.85162	0.86596	.
15	0.60692	0.50000	0.75277	0.78329	0.97146	0.81292	0.81934	0.86090
20	0.62147	0.57859	0.73316	0.75477	0.91726	0.79728	0.80072	0.83039
25	0.63033	0.60692	0.72186	0.73795	0.86979	0.78583	0.78741	0.80818
30	0.64057	0.62147	0.71316	0.72479	0.83400	0.77155	0.77185	0.79208
35	0.64379	0.62147	0.70831	0.71771	0.81708	0.76529	0.76477	0.78734
40	0.64630	0.63033	0.70472	0.71247	0.79441	0.76006	0.75893	0.77634
45	0.64997	0.63629	0.70113	0.70736	0.77717	0.75255	0.75101	0.76759
50	0.65135	0.64057	0.69900	0.70434	0.76374	0.74903	0.74714	0.76046
55	0.65252	0.64379	0.69724	0.70187	0.75306	0.74592	0.74376	0.75451
60	0.65440	0.64630	0.69522	0.69914	0.74440	0.74113	0.73882	0.74947
65	0.65516	0.64630	0.69401	0.69748	0.73985	0.73881	0.73632	0.74809
70	0.65583	0.64832	0.69296	0.69605	0.73347	0.73670	0.73406	0.74395
75	0.65697	0.64997	0.69163	0.69433	0.72810	0.73331	0.73062	0.74033
80	0.65745	0.65135	0.69084	0.69327	0.72352	0.73164	0.72885	0.73713
85	0.65789	0.65252	0.69013	0.69233	0.71959	0.73009	0.72721	0.73428
90	0.65865	0.65353	0.68917	0.69113	0.71618	0.72753	0.72464	0.73172
95	0.65898	0.65353	0.68860	0.69040	0.71433	0.72625	0.72330	0.73107
100	0.65929	0.65440	0.68808	0.68973	0.71157	0.72505	0.72206	0.72882
105	0.65983	0.65516	0.68735	0.68884	0.70912	0.72303	0.72004	0.72678
110	0.66007	0.65583	0.68692	0.68829	0.70694	0.72201	0.71899	0.72491
115	0.66030	0.65643	0.68652	0.68779	0.70499	0.72105	0.71799	0.72319
120	0.66071	0.65697	0.68593	0.68709	0.70323	0.71940	0.71636	0.72160
125	0.66090	0.65697	0.68559	0.68667	0.70229	0.71857	0.71551	0.72122
130	0.66107	0.65745	0.68528	0.68628	0.70079	0.71778	0.71469	0.71978
135	0.66139	0.65789	0.68479	0.68571	0.69942	0.71640	0.71334	0.71844
140	0.66154	0.65828	0.68452	0.68537	0.69817	0.71570	0.71263	0.71718
145	0.66167	0.65865	0.68425	0.68506	0.69702	0.71503	0.71195	0.71601
150	0.66193	0.65898	0.68385	0.68459	0.69597	0.71385	0.71080	0.71491
155	0.66205	0.65898	0.68361	0.68431	0.69541	0.71325	0.71019	0.71466
160	0.66216	0.65929	0.68339	0.68404	0.69448	0.71268	0.70961	0.71364
165	0.66237	0.65957	0.68304	0.68365	0.69361	0.71166	0.70862	0.71268
170	0.66247	0.65983	0.68284	0.68341	0.69281	0.71114	0.70810	0.71177
175	0.66256	0.66007	0.68266	0.68319	0.69206	0.71064	0.70760	0.71091
180	0.66273	0.66030	0.68235	0.68285	0.69135	0.70975	0.70673	0.71010
185	0.66282	0.66030	0.68218	0.68265	0.69100	0.70930	0.70628	0.70992
190	0.66289	0.66051	0.68201	0.68245	0.69036	0.70886	0.70584	0.70915
195	0.66304	0.66071	0.68174	0.68215	0.68977	0.70806	0.70507	0.70842
200	0.66311	0.66090	0.68159	0.68198	0.68921	0.70766	0.70467	0.70773
205	0.66318	0.66107	0.68145	0.68181	0.68868	0.70727	0.70428	0.70706
210	0.66331	0.66123	0.68121	0.68155	0.68818	0.70656	0.70360	0.70643
215	0.66337	0.66123	0.68108	0.68140	0.68793	0.70620	0.70324	0.70630
220	0.66342	0.66139	0.68095	0.68125	0.68747	0.70585	0.70289	0.70570
225	0.66353	0.66154	0.68073	0.68101	0.68704	0.70521	0.70228	0.70512
230	0.66358	0.66167	0.68061	0.68088	0.68663	0.70489	0.70196	0.70456

Anderson-Darling Test

T90

T99

Uncensored
or 20%
Censored
Ȗ50,0 or
Ȗ50,20

50%
Censored
Ȗ50,50

Uncensored
Ȗ90,0

20%
Censored
Ȗ90,20

50%
Censored
Ȗ90,50

Uncensored
Ȗ99,0

20%
Censored
99,20

50%
Censored
Ȗ99,50

0.50000

0.79644

0.85391

0.85162

0.86596

0.60692

0.50000

0.75277

0.78329

0.97146

0.81292

0.81934

0.86090

0.62147

0.57859

0.73316

0.75477

0.91726

0.79728

0.80072

0.83039

0.63033

0.60692

0.72186

0.73795

0.86979

0.78583

0.78741

0.80818

0.64057

0.62147

0.71316

0.72479

0.83400

0.77155

0.77185

0.79208

0.64379

0.62147

0.70831

0.71771

0.81708

0.76529

0.76477

0.78734

0.64630

0.63033

0.70472

0.71247

0.79441

0.76006

0.75893

0.77634

0.64997

0.63629

0.70113

0.70736

0.77717

0.75255

0.75101

0.76759

0.65135

0.64057

0.69900

0.70434

0.76374

0.74903

0.74714

0.76046

0.65252

0.64379

0.69724

0.70187

0.75306

0.74592

0.74376

0.75451

0.65440

0.64630

0.69522

0.69914

0.74440

0.74113

0.73882

0.74947

0.65516

0.64630

0.69401

0.69748

0.73985

0.73881

0.73632

0.74809

0.65583

0.64832

0.69296

0.69605

0.73347

0.73670

0.73406

0.74395

0.65697

0.64997

0.69163

0.69433

0.72810

0.73331

0.73062

0.74033

0.65745

0.65135

0.69084

0.69327

0.72352

0.73164

0.72885

0.73713

0.65789

0.65252

0.69013

0.69233

0.71959

0.73009

0.72721

0.73428

0.65865

0.65353

0.68917

0.69113

0.71618

0.72753

0.72464

0.73172

0.65898

0.65353

0.68860

0.69040

0.71433

0.72625

0.72330

0.73107

100

0.65929

0.65440

0.68808

0.68973

0.71157

0.72505

0.72206

0.72882

105

0.65983

0.65516

0.68735

0.68884

0.70912

0.72303

0.72004

0.72678

110

0.66007

0.65583

0.68692

0.68829

0.70694

0.72201

0.71899

0.72491

115

0.66030

0.65643

0.68652

0.68779

0.70499

0.72105

0.71799

0.72319

120

0.66071

0.65697

0.68593

0.68709

0.70323

0.71940

0.71636

0.72160

125

0.66090

0.65697

0.68559

0.68667

0.70229

0.71857

0.71551

0.72122

130

0.66107

0.65745

0.68528

0.68628

0.70079

0.71778

0.71469

0.71978

135

0.66139

0.65789

0.68479

0.68571

0.69942

0.71640

0.71334

0.71844

140

0.66154

0.65828

0.68452

0.68537

0.69817

0.71570

0.71263

0.71718

145

0.66167

0.65865

0.68425

0.68506

0.69702

0.71503

0.71195

0.71601

150

0.66193

0.65898

0.68385

0.68459

0.69597

0.71385

0.71080

0.71491

155

0.66205

0.65898

0.68361

0.68431

0.69541

0.71325

0.71019

0.71466

160

0.66216

0.65929

0.68339

0.68404

0.69448

0.71268

0.70961

0.71364

165

0.66237

0.65957

0.68304

0.68365

0.69361

0.71166

0.70862

0.71268

170

0.66247

0.65983

0.68284

0.68341

0.69281

0.71114

0.70810

0.71177

175

0.66256

0.66007

0.68266

0.68319

0.69206

0.71064

0.70760

0.71091

180

0.66273

0.66030

0.68235

0.68285

0.69135

0.70975

0.70673

0.71010

185

0.66282

0.66030

0.68218

0.68265

0.69100

0.70930

0.70628

0.70992

190

0.66289

0.66051

0.68201

0.68245

0.69036

0.70886

0.70584

0.70915

195

0.66304

0.66071

0.68174

0.68215

0.68977

0.70806

0.70507

0.70842

200

0.66311

0.66090

0.68159

0.68198

0.68921

0.70766

0.70467

0.70773

205

0.66318

0.66107

0.68145

0.68181

0.68868

0.70727

0.70428

0.70706

210

0.66331

0.66123

0.68121

0.68155

0.68818

0.70656

0.70360

0.70643

215

0.66337

0.66123

0.68108

0.68140

0.68793

0.70620

0.70324

0.70630

220

0.66342

0.66139

0.68095

0.68125

0.68747

0.70585

0.70289

0.70570

225

0.66353

0.66154

0.68073

0.68101

0.68704

0.70521

0.70228

0.70512

230

0.66358

0.66167

0.68061

0.68088

0.68663

0.70489

0.70196

0.70456

9.10.8

\gamma

-values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

n	Anderson-Darling Test		T90			T99
n	Uncensored or 20% Censored Ȗ50,0 or Ȗ50,20	50% Censored Ȗ50,50	Uncensored Ȗ90,0	20% Censored Ȗ90,20	50% Censored Ȗ90,50	Uncensored Ȗ99,0	20% Censored Ȗ99,20	50% Censored Ȗ99,50
235	0.66364	0.66181	0.68049	0.68075	0.68623	0.70457	0.70165	0.70403
240	0.66373	0.66193	0.68030	0.68053	0.68586	0.70399	0.70109	0.70352
245	0.66378	0.66193	0.68019	0.68041	0.68568	0.70370	0.70080	0.70342
250	0.66382	0.66205	0.68009	0.68029	0.68533	0.70341	0.70052	0.70293
255	0.66391	0.66216	0.67991	0.68010	0.68500	0.70288	0.70002	0.70246
260	0.66395	0.66227	0.67981	0.67999	0.68468	0.70261	0.69975	0.70200
265	0.66399	0.66237	0.67971	0.67989	0.68438	0.70235	0.69949	0.70157
270	0.66406	0.66247	0.67955	0.67971	0.68409	0.70186	0.69903	0.70114
275	0.66410	0.66247	0.67946	0.67961	0.68396	0.70161	0.69879	0.70106
280	0.66413	0.66256	0.67937	0.67951	0.68368	0.70137	0.69855	0.70066
285	0.66420	0.66265	0.67922	0.67935	0.68342	0.70093	0.69813	0.70026
290	0.66423	0.66273	0.67914	0.67926	0.68317	0.70070	0.69790	0.69988
295	0.66426	0.66282	0.67906	0.67917	0.68293	0.70047	0.69768	0.69951
300	0.66433	0.66289	0.67892	0.67902	0.68269	0.70006	0.69729	0.69916
310	0.66438	0.66297	0.67877	0.67886	0.68237	0.69964	0.69688	0.69875
320	0.66446	0.66311	0.67857	0.67864	0.68195	0.69906	0.69633	0.69809
330	0.66454	0.66324	0.67838	0.67844	0.68156	0.69851	0.69580	0.69747
340	0.66459	0.66331	0.67825	0.67830	0.68130	0.69815	0.69545	0.69711
350	0.66466	0.66342	0.67807	0.67811	0.68095	0.69764	0.69497	0.69654
360	0.66472	0.66353	0.67790	0.67794	0.68063	0.69716	0.69451	0.69600
370	0.66476	0.66358	0.67779	0.67781	0.68041	0.69684	0.69420	0.69570
380	0.66482	0.66368	0.67764	0.67765	0.68012	0.69639	0.69378	0.69520
390	0.66487	0.66378	0.67749	0.67749	0.67984	0.69596	0.69337	0.69472
400	0.66490	0.66382	0.67739	0.67739	0.67965	0.69568	0.69310	0.69446
425	0.66501	0.66399	0.67707	0.67706	0.67912	0.69477	0.69224	0.69356
450	0.66511	0.66417	0.67678	0.67675	0.67858	0.69395	0.69146	0.69258
475	0.66519	0.66430	0.67655	0.67651	0.67816	0.69328	0.69083	0.69185
500	0.66526	0.66441	0.67631	0.67626	0.67778	0.69258	0.69017	0.69117
525	0.66534	0.66452	0.67608	0.67602	0.67743	0.69193	0.68955	0.69054
550	0.66539	0.66461	0.67589	0.67583	0.67711	0.69140	0.68906	0.68995
575	0.66545	0.66470	0.67569	0.67562	0.67682	0.69083	0.68852	0.68940
600	0.66550	0.66480	0.67551	0.67543	0.67652	0.69030	0.68802	0.68879
625	0.66554	0.66487	0.67536	0.67528	0.67627	0.68986	0.68762	0.68832
650	0.66559	0.66494	0.67519	0.67511	0.67604	0.68939	0.68718	0.68788
675	0.66563	0.66500	0.67503	0.67495	0.67583	0.68895	0.68676	0.68746
700	0.66567	0.66506	0.67490	0.67481	0.67563	0.68859	0.68642	0.68706
725	0.66570	0.66511	0.67476	0.67467	0.67545	0.68819	0.68605	0.68669
750	0.66574	0.66517	0.67463	0.67454	0.67524	0.68781	0.68570	0.68626
775	0.66576	0.66522	0.67452	0.67442	0.67508	0.68750	0.68541	0.68593
800	0.66579	0.66526	0.67440	0.67430	0.67493	0.68715	0.68509	0.68561
825	0.66582	0.66531	0.67428	0.67418	0.67478	0.68683	0.68479	0.68531
850	0.66584	0.66534	0.67419	0.67409	0.67464	0.68656	0.68454	0.68502
875	0.66587	0.66538	0.67408	0.67398	0.67451	0.68626	0.68426	0.68474
900	0.66589	0.66542	0.67398	0.67387	0.67437	0.68597	0.68400	0.68442
925	0.66591	0.66546	0.67389	0.67379	0.67425	0.68573	0.68377	0.68417
950	0.66593	0.66549	0.67380	0.67369	0.67414	0.68547	0.68353	0.68393

MIL-HDBK-5J

n	Anderson-Darling Test	T90	T99
10	0.50000	.	0.79644	0.85391	.	0.85162	0.86596	.
15	0.60692	0.50000	0.75277	0.78329	0.97146	0.81292	0.81934	0.86090
20	0.62147	0.57859	0.73316	0.75477	0.91726	0.79728	0.80072	0.83039
25	0.63033	0.60692	0.72186	0.73795	0.86979	0.78583	0.78741	0.80818
30	0.64057	0.62147	0.71316	0.72479	0.83400	0.77155	0.77185	0.79208
35	0.64379	0.62147	0.70831	0.71771	0.81708	0.76529	0.76477	0.78734
40	0.64630	0.63033	0.70472	0.71247	0.79441	0.76006	0.75893	0.77634
45	0.64997	0.63629	0.70113	0.70736	0.77717	0.75255	0.75101	0.76759
50	0.65135	0.64057	0.69900	0.70434	0.76374	0.74903	0.74714	0.76046
55	0.65252	0.64379	0.69724	0.70187	0.75306	0.74592	0.74376	0.75451
60	0.65440	0.64630	0.69522	0.69914	0.74440	0.74113	0.73882	0.74947
65	0.65516	0.64630	0.69401	0.69748	0.73985	0.73881	0.73632	0.74809
70	0.65583	0.64832	0.69296	0.69605	0.73347	0.73670	0.73406	0.74395
75	0.65697	0.64997	0.69163	0.69433	0.72810	0.73331	0.73062	0.74033
80	0.65745	0.65135	0.69084	0.69327	0.72352	0.73164	0.72885	0.73713
85	0.65789	0.65252	0.69013	0.69233	0.71959	0.73009	0.72721	0.73428
90	0.65865	0.65353	0.68917	0.69113	0.71618	0.72753	0.72464	0.73172
95	0.65898	0.65353	0.68860	0.69040	0.71433	0.72625	0.72330	0.73107
100	0.65929	0.65440	0.68808	0.68973	0.71157	0.72505	0.72206	0.72882
105	0.65983	0.65516	0.68735	0.68884	0.70912	0.72303	0.72004	0.72678
110	0.66007	0.65583	0.68692	0.68829	0.70694	0.72201	0.71899	0.72491
115	0.66030	0.65643	0.68652	0.68779	0.70499	0.72105	0.71799	0.72319
120	0.66071	0.65697	0.68593	0.68709	0.70323	0.71940	0.71636	0.72160
125	0.66090	0.65697	0.68559	0.68667	0.70229	0.71857	0.71551	0.72122
130	0.66107	0.65745	0.68528	0.68628	0.70079	0.71778	0.71469	0.71978
135	0.66139	0.65789	0.68479	0.68571	0.69942	0.71640	0.71334	0.71844
140	0.66154	0.65828	0.68452	0.68537	0.69817	0.71570	0.71263	0.71718
145	0.66167	0.65865	0.68425	0.68506	0.69702	0.71503	0.71195	0.71601
150	0.66193	0.65898	0.68385	0.68459	0.69597	0.71385	0.71080	0.71491
155	0.66205	0.65898	0.68361	0.68431	0.69541	0.71325	0.71019	0.71466
160	0.66216	0.65929	0.68339	0.68404	0.69448	0.71268	0.70961	0.71364
165	0.66237	0.65957	0.68304	0.68365	0.69361	0.71166	0.70862	0.71268
170	0.66247	0.65983	0.68284	0.68341	0.69281	0.71114	0.70810	0.71177
175	0.66256	0.66007	0.68266	0.68319	0.69206	0.71064	0.70760	0.71091
180	0.66273	0.66030	0.68235	0.68285	0.69135	0.70975	0.70673	0.71010
185	0.66282	0.66030	0.68218	0.68265	0.69100	0.70930	0.70628	0.70992
190	0.66289	0.66051	0.68201	0.68245	0.69036	0.70886	0.70584	0.70915
195	0.66304	0.66071	0.68174	0.68215	0.68977	0.70806	0.70507	0.70842
200	0.66311	0.66090	0.68159	0.68198	0.68921	0.70766	0.70467	0.70773
205	0.66318	0.66107	0.68145	0.68181	0.68868	0.70727	0.70428	0.70706
210	0.66331	0.66123	0.68121	0.68155	0.68818	0.70656	0.70360	0.70643
215	0.66337	0.66123	0.68108	0.68140	0.68793	0.70620	0.70324	0.70630
220	0.66342	0.66139	0.68095	0.68125	0.68747	0.70585	0.70289	0.70570
225	0.66353	0.66154	0.68073	0.68101	0.68704	0.70521	0.70228	0.70512
230	0.66358	0.66167	0.68061	0.68088	0.68663	0.70489	0.70196	0.70456

Anderson-Darling Test

T90

T99

Uncensored
or 20%
Censored
Ȗ50,0 or
Ȗ50,20

50%
Censored
Ȗ50,50

Uncensored
Ȗ90,0

20%
Censored
Ȗ90,20

50%
Censored
Ȗ90,50

Uncensored
Ȗ99,0

20%
Censored
99,20

50%
Censored
Ȗ99,50

0.50000

0.79644

0.85391

0.85162

0.86596

0.60692

0.50000

0.75277

0.78329

0.97146

0.81292

0.81934

0.86090

0.62147

0.57859

0.73316

0.75477

0.91726

0.79728

0.80072

0.83039

0.63033

0.60692

0.72186

0.73795

0.86979

0.78583

0.78741

0.80818

0.64057

0.62147

0.71316

0.72479

0.83400

0.77155

0.77185

0.79208

0.64379

0.62147

0.70831

0.71771

0.81708

0.76529

0.76477

0.78734

0.64630

0.63033

0.70472

0.71247

0.79441

0.76006

0.75893

0.77634

0.64997

0.63629

0.70113

0.70736

0.77717

0.75255

0.75101

0.76759

0.65135

0.64057

0.69900

0.70434

0.76374

0.74903

0.74714

0.76046

0.65252

0.64379

0.69724

0.70187

0.75306

0.74592

0.74376

0.75451

0.65440

0.64630

0.69522

0.69914

0.74440

0.74113

0.73882

0.74947

0.65516

0.64630

0.69401

0.69748

0.73985

0.73881

0.73632

0.74809

0.65583

0.64832

0.69296

0.69605

0.73347

0.73670

0.73406

0.74395

0.65697

0.64997

0.69163

0.69433

0.72810

0.73331

0.73062

0.74033

0.65745

0.65135

0.69084

0.69327

0.72352

0.73164

0.72885

0.73713

0.65789

0.65252

0.69013

0.69233

0.71959

0.73009

0.72721

0.73428

0.65865

0.65353

0.68917

0.69113

0.71618

0.72753

0.72464

0.73172

0.65898

0.65353

0.68860

0.69040

0.71433

0.72625

0.72330

0.73107

100

0.65929

0.65440

0.68808

0.68973

0.71157

0.72505

0.72206

0.72882

105

0.65983

0.65516

0.68735

0.68884

0.70912

0.72303

0.72004

0.72678

110

0.66007

0.65583

0.68692

0.68829

0.70694

0.72201

0.71899

0.72491

115

0.66030

0.65643

0.68652

0.68779

0.70499

0.72105

0.71799

0.72319

120

0.66071

0.65697

0.68593

0.68709

0.70323

0.71940

0.71636

0.72160

125

0.66090

0.65697

0.68559

0.68667

0.70229

0.71857

0.71551

0.72122

130

0.66107

0.65745

0.68528

0.68628

0.70079

0.71778

0.71469

0.71978

135

0.66139

0.65789

0.68479

0.68571

0.69942

0.71640

0.71334

0.71844

140

0.66154

0.65828

0.68452

0.68537

0.69817

0.71570

0.71263

0.71718

145

0.66167

0.65865

0.68425

0.68506

0.69702

0.71503

0.71195

0.71601

150

0.66193

0.65898

0.68385

0.68459

0.69597

0.71385

0.71080

0.71491

155

0.66205

0.65898

0.68361

0.68431

0.69541

0.71325

0.71019

0.71466

160

0.66216

0.65929

0.68339

0.68404

0.69448

0.71268

0.70961

0.71364

165

0.66237

0.65957

0.68304

0.68365

0.69361

0.71166

0.70862

0.71268

170

0.66247

0.65983

0.68284

0.68341

0.69281

0.71114

0.70810

0.71177

175

0.66256

0.66007

0.68266

0.68319

0.69206

0.71064

0.70760

0.71091

180

0.66273

0.66030

0.68235

0.68285

0.69135

0.70975

0.70673

0.71010

185

0.66282

0.66030

0.68218

0.68265

0.69100

0.70930

0.70628

0.70992

190

0.66289

0.66051

0.68201

0.68245

0.69036

0.70886

0.70584

0.70915

195

0.66304

0.66071

0.68174

0.68215

0.68977

0.70806

0.70507

0.70842

200

0.66311

0.66090

0.68159

0.68198

0.68921

0.70766

0.70467

0.70773

205

0.66318

0.66107

0.68145

0.68181

0.68868

0.70727

0.70428

0.70706

210

0.66331

0.66123

0.68121

0.68155

0.68818

0.70656

0.70360

0.70643

215

0.66337

0.66123

0.68108

0.68140

0.68793

0.70620

0.70324

0.70630

220

0.66342

0.66139

0.68095

0.68125

0.68747

0.70585

0.70289

0.70570

225

0.66353

0.66154

0.68073

0.68101

0.68704

0.70521

0.70228

0.70512

230

0.66358

0.66167

0.68061

0.68088

0.68663

0.70489

0.70196

0.70456

9.10.8

\gamma

-values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

n	Anderson-Darling Test		T90			T99
n	Uncensored or 20% Censored Ȗ50,0 or Ȗ50,20	50% Censored Ȗ50,50	Uncensored Ȗ90,0	20% Censored Ȗ90,20	50% Censored Ȗ90,50	Uncensored Ȗ99,0	20% Censored Ȗ99,20	50% Censored Ȗ99,50
235	0.66364	0.66181	0.68049	0.68075	0.68623	0.70457	0.70165	0.70403
240	0.66373	0.66193	0.68030	0.68053	0.68586	0.70399	0.70109	0.70352
245	0.66378	0.66193	0.68019	0.68041	0.68568	0.70370	0.70080	0.70342
250	0.66382	0.66205	0.68009	0.68029	0.68533	0.70341	0.70052	0.70293
255	0.66391	0.66216	0.67991	0.68010	0.68500	0.70288	0.70002	0.70246
260	0.66395	0.66227	0.67981	0.67999	0.68468	0.70261	0.69975	0.70200
265	0.66399	0.66237	0.67971	0.67989	0.68438	0.70235	0.69949	0.70157
270	0.66406	0.66247	0.67955	0.67971	0.68409	0.70186	0.69903	0.70114
275	0.66410	0.66247	0.67946	0.67961	0.68396	0.70161	0.69879	0.70106
280	0.66413	0.66256	0.67937	0.67951	0.68368	0.70137	0.69855	0.70066
285	0.66420	0.66265	0.67922	0.67935	0.68342	0.70093	0.69813	0.70026
290	0.66423	0.66273	0.67914	0.67926	0.68317	0.70070	0.69790	0.69988
295	0.66426	0.66282	0.67906	0.67917	0.68293	0.70047	0.69768	0.69951
300	0.66433	0.66289	0.67892	0.67902	0.68269	0.70006	0.69729	0.69916
310	0.66438	0.66297	0.67877	0.67886	0.68237	0.69964	0.69688	0.69875
320	0.66446	0.66311	0.67857	0.67864	0.68195	0.69906	0.69633	0.69809
330	0.66454	0.66324	0.67838	0.67844	0.68156	0.69851	0.69580	0.69747
340	0.66459	0.66331	0.67825	0.67830	0.68130	0.69815	0.69545	0.69711
350	0.66466	0.66342	0.67807	0.67811	0.68095	0.69764	0.69497	0.69654
360	0.66472	0.66353	0.67790	0.67794	0.68063	0.69716	0.69451	0.69600
370	0.66476	0.66358	0.67779	0.67781	0.68041	0.69684	0.69420	0.69570
380	0.66482	0.66368	0.67764	0.67765	0.68012	0.69639	0.69378	0.69520
390	0.66487	0.66378	0.67749	0.67749	0.67984	0.69596	0.69337	0.69472
400	0.66490	0.66382	0.67739	0.67739	0.67965	0.69568	0.69310	0.69446
425	0.66501	0.66399	0.67707	0.67706	0.67912	0.69477	0.69224	0.69356
450	0.66511	0.66417	0.67678	0.67675	0.67858	0.69395	0.69146	0.69258
475	0.66519	0.66430	0.67655	0.67651	0.67816	0.69328	0.69083	0.69185
500	0.66526	0.66441	0.67631	0.67626	0.67778	0.69258	0.69017	0.69117
525	0.66534	0.66452	0.67608	0.67602	0.67743	0.69193	0.68955	0.69054
550	0.66539	0.66461	0.67589	0.67583	0.67711	0.69140	0.68906	0.68995
575	0.66545	0.66470	0.67569	0.67562	0.67682	0.69083	0.68852	0.68940
600	0.66550	0.66480	0.67551	0.67543	0.67652	0.69030	0.68802	0.68879
625	0.66554	0.66487	0.67536	0.67528	0.67627	0.68986	0.68762	0.68832
650	0.66559	0.66494	0.67519	0.67511	0.67604	0.68939	0.68718	0.68788
675	0.66563	0.66500	0.67503	0.67495	0.67583	0.68895	0.68676	0.68746
700	0.66567	0.66506	0.67490	0.67481	0.67563	0.68859	0.68642	0.68706
725	0.66570	0.66511	0.67476	0.67467	0.67545	0.68819	0.68605	0.68669
750	0.66574	0.66517	0.67463	0.67454	0.67524	0.68781	0.68570	0.68626
775	0.66576	0.66522	0.67452	0.67442	0.67508	0.68750	0.68541	0.68593
800	0.66579	0.66526	0.67440	0.67430	0.67493	0.68715	0.68509	0.68561
825	0.66582	0.66531	0.67428	0.67418	0.67478	0.68683	0.68479	0.68531
850	0.66584	0.66534	0.67419	0.67409	0.67464	0.68656	0.68454	0.68502
875	0.66587	0.66538	0.67408	0.67398	0.67451	0.68626	0.68426	0.68474
900	0.66589	0.66542	0.67398	0.67387	0.67437	0.68597	0.68400	0.68442
925	0.66591	0.66546	0.67389	0.67379	0.67425	0.68573	0.68377	0.68417
950	0.66593	0.66549	0.67380	0.67369	0.67414	0.68547	0.68353	0.68393

MIL-HDBK-5J

9.10.8 $\gamma$ -values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

MIL-HDBK-5J

Table 9.10.8: $\gamma$-values for Computing Threshold of Three-Parameter Weibull Distribution

MIL-HDBK-5J

9.10.8 $\gamma$ -values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

MIL-HDBK-5J

MIL-HDBK-5J

9.10.8 γ\gammaγ-values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

MIL-HDBK-5J

MIL-HDBK-5J

9.10.8 γ\gammaγ-values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

MIL-HDBK-5J

9.10.8 $\gamma$ -values for Computing Threshold of Three-Parameter Weibull Distribution (continued)

9.10.8 $\gamma$ -values for Computing Threshold of Three-Parameter Weibull Distribution (continued)