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Books on the topic 'Weibull method'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Gross, Bernard. Least squares best fit method for the three parameter Weibull distribution: Analysis of tensile and bend specimens with volume or surface flaw failure. National Aeronautics and Space Administration, Langley Research Center, 1996.

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2

Güimil, Fernando. Comparing the Maximum Likelihood Method and a Modified Moment Method to fit a Weibull distribution to aircraft engine failure time data. Naval Postgraduate School, 1997.

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3

J, Hu, Hopkins D. A, and Lewis Research Center, eds. An overview of engineering concepts and current design algorithms for probabilistic structural analysis. NASA Lewis Research Center, 1995.

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4

M, Steinetz Bruce, and United States. National Aeronautics and Space Administration., eds. Thermal and structural assessments of a ceramic wafer seal in hypersonic engines. National Aeronautics and Space Administration, 1991.

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5

Abernethy, Robert B. The new Weibull handbook. 3rd ed. R.B. Abernethy, 1998.

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6

Abernethy, Robert B. The new Weibull handbook. 2nd ed. R.B. Abernethy, 1996.

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7

Lee, Hyeon-Soo. Approximate interval estimation methods for the reliability of systems using component data with exponential and Weibull distributions. Naval Postgraduate School, 1989.

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8

1919-, Eggwertz S., Lind N. C. 1930-, Weibull Waloddi 1887-1979, International Union of Theoretical and Applied Mechanics., and IUTAM Symposium on Probabilistic Methods in the Mechanics of Solids and Structures (1984 : Stockholm, Sweden), eds. Probabilistic methods in the mechanics of solids and structures: Symposium, Stockholm, Sweden, June 19-21, 1984 : to the memory of Waloddi Weibull. Springer-Verlag, 1985.

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9

Eggwertz, Sigge. Probabilistic Methods in the Mechanics of Solids and Structures: Symposium Stockholm, Sweden June 19-21, 1984 To the Memory of Waloddi Weibull. Springer Berlin Heidelberg, 1985.

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10

Least squares best fit method for the three parameter Weibull distribution: Analysis of tensile and bend specimens with volume or surface flaw failure. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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11

Robust Parameter Estimation for the Mixed Weibull (Seven Parameter) Including the Method of Minimum Likelihood and the Method of Minimum Distance. Storming Media, 1997.

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12

Comparing the Maximum Likelihood Method and a Modified Moment Method to Fit a Weibull Distribution to Aircraft Engine Failure Time Data. Storming Media, 1997.

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13

Basu, P., and N. Balakrishnan. The Weibull Distribution: Theory, Methods and Applications. Gordon and Breach, 1997.

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14

Cheng, Russell. Finite Mixture Examples; MAPIS Details. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0018.

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Two detailed numerical examples are given in this chapter illustrating and comparing mainly the reversible jump Markov chain Monte Carlo (RJMCMC) and the maximum a posteriori/importance sampling (MAPIS) methods. The numerical examples are the well-known galaxy data set with sample size 82, and the Hidalgo stamp issues thickness data with sample size 485. A comparison is made of the estimates obtained by the RJMCMC and MAPIS methods for (i) the posterior k-distribution of the number of components, k, (ii) the predictive finite mixture distribution itself, and (iii) the posterior distributions o

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15

Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a

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