Reliability Verification, Testing, and Analysis in Engineering DesignCRC Press, 2002. gada 27. nov. - 416 lappuses Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book disc |
No grāmatas satura
1.–5. rezultāts no 61.
iv. lappuse
... rank estimators and the development of small sample binomial confidence limits for success - failure testing is presented to the user in the Appendices to Chapters 2 and 6. The • • • formulas are shown to be different . iv PREFACE.
... rank estimators and the development of small sample binomial confidence limits for success - failure testing is presented to the user in the Appendices to Chapters 2 and 6. The • • • formulas are shown to be different . iv PREFACE.
v. lappuse
... rank of multiply censored data is also demonstrated . This work has also never appeared in a textbook before . I closely follow the recommendations by Abernethy ( 1996 ) , who advises the use of inverse rank regression techniques for ...
... rank of multiply censored data is also demonstrated . This work has also never appeared in a textbook before . I closely follow the recommendations by Abernethy ( 1996 ) , who advises the use of inverse rank regression techniques for ...
viii. lappuse
... Rank Estimator 2.2.2 Mean and Median Rank Estimators 243 74 74 75 2.2.3 Use of Rank Estimators of F ( t ) as a Plotting Position in a Probability Plot 77 2.2.4 Beta - Binomial and Kaplan - Meier Confidence Bands on Median Rank Estimator ...
... Rank Estimator 2.2.2 Mean and Median Rank Estimators 243 74 74 75 2.2.3 Use of Rank Estimators of F ( t ) as a Plotting Position in a Probability Plot 77 2.2.4 Beta - Binomial and Kaplan - Meier Confidence Bands on Median Rank Estimator ...
ix. lappuse
... Rank Regression and Probability Plotting Techniques 137 4.2.1 Normal Probability Plotting Techniques 137 4.2.2 Weibull Probability Plotting Techniques 142 4.3 Maximum Likelihood Estimation 147 4.3.1 Introduction to ML Estimation 147 4.3 ...
... Rank Regression and Probability Plotting Techniques 137 4.2.1 Normal Probability Plotting Techniques 137 4.2.2 Weibull Probability Plotting Techniques 142 4.3 Maximum Likelihood Estimation 147 4.3.1 Introduction to ML Estimation 147 4.3 ...
x. lappuse
... Rank and Fitted Distributions 190 5.2.2 Rank Regression Tests 195 5.2.3 Other Goodness - of - Fit Tests 5.3 Exercises Appendix 5A . 6. Test Sample - Size Determination Validation / Verification Testing 6.1.1 Verification Testing 196 199 ...
... Rank and Fitted Distributions 190 5.2.2 Rank Regression Tests 195 5.2.3 Other Goodness - of - Fit Tests 5.3 Exercises Appendix 5A . 6. Test Sample - Size Determination Validation / Verification Testing 6.1.1 Verification Testing 196 199 ...
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XLI | 104 |
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L | 119 |
LI | 121 |
LII | 125 |
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XCIX | 216 |
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CVI | 225 |
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CIX | 229 |
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CXXI | 255 |
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CXXX | 277 |
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CXXXIV | 284 |
CXXXV | 287 |
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CXXXVII | 290 |
CXXXVIII | 291 |
CXXXIX | 292 |
CXLI | 300 |
CXLIII | 305 |
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CXLVIII | 311 |
CXLIX | 312 |
CL | 314 |
CLI | 316 |
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CLXI | 356 |
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CLXXVIII | 387 |
Citi izdevumi - Skatīt visu
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Ierobežota priekšskatīšana - 2002 |
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Priekšskatījums nav pieejams - 2002 |
Bieži izmantoti vārdi un frāzes
accelerated analysis Appendix approximation asymptotic beta distribution binomial distribution bogey testing Chapter component computer-aided engineering confidence intervals confidence limit cumulative cycles density function design verification electronics Equation evaluated exponential distribution expression F-distribution failure distribution failure mode Figure FMEA Goal Seek hazard identify illustrated inverse likelihood contours likelihood estimation linear location-scale distribution lognormal distribution lower confidence limit LR limits maximum likelihood median rank Microsoft Excel Minitab ML estimates Monte Carlo MTTF normal distribution occur parameter estimates percentile phenomena potential failure modes probability plots procedure properties Q-Q plots random variable rank estimator rank regression recorded failures relationship reliability metrics right-censored sample sizes shape parameter simulation standard normal stress subsystem success-failure test t₁ Table temperature usage values variance wearout Weibayes Weibull data Weibull distribution Weibull parameters Weibull plot Worked-out Example