scholarly journals Estimating bootstrap and Bayesian prediction intervals for constituent load rating curves

2013 ◽  
Vol 49 (12) ◽  
pp. 8565-8578 ◽  
Author(s):  
Olga Vigiak ◽  
Ulrike Bende-Michl
Keyword(s):  
Bayesian Prediction ◽  
Prediction Intervals ◽  
Load Rating ◽  
Rating Curves

scholarly journals Annual hysteresis in bed load rating curves

1998 ◽  
Vol 34 (9) ◽  
pp. 2393-2399 ◽  
Author(s):  
Douglas B. Moog ◽  
Peter J. Whiting
Keyword(s):  
Bed Load ◽  
Load Rating ◽  
Rating Curves

Construction of Bayesian Prediction Intervals for Smart Systems

2013 ◽  
Author(s):  
Mami T. Wentworth ◽  
Ralph C. Smith
Keyword(s):  
Measurement Errors ◽  
Smart Material ◽  
Bayesian Prediction ◽  
Prediction Intervals ◽  
Smart Systems ◽  
Mcmc Algorithms ◽  
Quantity Of Interest ◽  
Input Parameters ◽  
Quantities Of Interest

In this paper, we employ adaptive Metropolis algorithms to construct densities for parameters and quantities of interest for models arising in the analysis of smart material structures. In the first step of the construction, MCMC algorithms are used to quantify the uncertainty in parameters due to measurement errors. We then combine uncertainties from the input parameters and measurement errors, and construct prediction intervals for the quantity of interest by propagating uncertainties through the models.

Bayesian Prediction Bounds for the Exponential-Type Distribution Based on Ordered Ranked Set Sampling

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Mohammed S. Kotb
Keyword(s):  
Exponential Type ◽  
Bayesian Prediction ◽  
Prediction Intervals ◽  
Prior Density ◽  
Type Distribution ◽  
Ranked Set Sample ◽  
Cumulative Function ◽  
Sample Method ◽  
Special Case ◽  
Sample Case

AbstractWe suggest a ranked set sample method to improve Bayesian prediction intervals. The paper deals with the Bayesian prediction intervals in the context of an ordered ranked set sample from a certain class of exponential-type distributions. A proper general prior density function is used and the predictive cumulative function is obtained in the two-sample case. The special case of linear exponential distributed observations is considered and completed with numerical results.

scholarly journals Fitting concentration and load rating curves with generalized linear models

2007 ◽  
Vol 33 (1) ◽  
pp. 25-39 ◽  
Author(s):  
Nicholas J. Cox ◽  
Jeff Warburton ◽  
Alona Armstrong ◽  
Victoria J. Holliday
Keyword(s):  
Generalized Linear Models ◽  
Linear Models ◽  
Load Rating ◽  
Rating Curves
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