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 92.
. lappuse
... Probability Applications in Mechanical Design , Franklin E. Fisher and Joy R. Fisher 129. Nickel Alloys , edited by Ulrich Heubner 130. Rotating Machinery Vibration : Problem Analysis and Troubleshooting , Maurice L. Adams , Jr. 131 ...
... Probability Applications in Mechanical Design , Franklin E. Fisher and Joy R. Fisher 129. Nickel Alloys , edited by Ulrich Heubner 130. Rotating Machinery Vibration : Problem Analysis and Troubleshooting , Maurice L. Adams , Jr. 131 ...
v. lappuse
... probability plots ) . This is not the method usually recommended ; however , we now see that the latest release of MINITABT ( version 13 ) performs rank regression this way ! One of the most comprehensive and concise discussions of ...
... probability plots ) . This is not the method usually recommended ; however , we now see that the latest release of MINITABT ( version 13 ) performs rank regression this way ! One of the most comprehensive and concise discussions of ...
viii. lappuse
... Probability Plot 77 2.2.4 Beta - Binomial and Kaplan - Meier Confidence Bands on Median Rank Estimator F20 79 2.2.5 Empirical Estimates of Other Reliability Metrics : R ( t ) , 2 ( t ) , f ( t ) , and H ( t ) 2.2.6 Working with Grouped ...
... Probability Plot 77 2.2.4 Beta - Binomial and Kaplan - Meier Confidence Bands on Median Rank Estimator F20 79 2.2.5 Empirical Estimates of Other Reliability Metrics : R ( t ) , 2 ( t ) , f ( t ) , and H ( t ) 2.2.6 Working with Grouped ...
ix. lappuse
... 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 4.3.2 Development of ...
... 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 4.3.2 Development of ...
xii. lappuse
... Probability or Rank Regression Plots 10.2 Q - Q Plots 10.2.1 Technical Note : Use of Q - Q Plots 10.2.2 Inferential Statistics for Using Q - Q Plots 10.3 Use of Likelihood Theory for Assessing Differences 10.4 Approximate F - Test for ...
... Probability or Rank Regression Plots 10.2 Q - Q Plots 10.2.1 Technical Note : Use of Q - Q Plots 10.2.2 Inferential Statistics for Using Q - Q Plots 10.3 Use of Likelihood Theory for Assessing Differences 10.4 Approximate F - Test for ...
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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