Scale Parameter
On Robustness of a Sequential Test for Scale Parameter of Gamma and Exponential Distributions
... about scale parameter of gamma distribution with known shape parameter and exponential distribution with location ...for scale parameter of gamma distribution is studied when the shape ...
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Inferences on a Scale Parameter of Bivariate Rayleigh Distribution by Ranked Set Sampling
... a scale parameter of Morgenstern type bivariate Rayleigh distribution based on the observations made on the units of the ranked set sampling regarding the study variable which is correlated with the ...
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Two-Step Sequential Procedure for the Point Estimation of the Exponential Scale Parameter
... step sequential procedure for the point estimation of the exponential scale parameter with the inclusion of the cost function to the observed sample variance is proposed. As a measure of accuracy of the ...
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Estimation of Scale Parameter Under a Bounded Loss Function
... of scale parameter under a bounded loss function is considered with restriction to the principles of invariance and risk ...risk scale equivariant estimators and Bayes estimators are ...
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Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... The posterior risk based on all priors and for all loss functions, relating to the scale parameter of a Nakagami distribution, expectedly decrease with the increase in sample size. Using the Uniform prior, ...
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CONFIDENCE INTERVALS FOR THE SCALE PARAMETER OF A TWO-PARAMETER WEIBULL DISTRIBUTION: ONE SAMPLE PROBLEM
... the scale parameter (θ) have the lower and upper limits between ...the scale parameter (θ) of a two parameters Weibull distribution for urinary tract infections (UTIs) data seems to be not ...
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Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter
... leigh Scale parameter with fuzzy ...the scale parameter under Square error and Precautionary loss function using Non-informative Jefferys ...the scale parameter in terms of mean ...
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Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
... The convergence pattern can be studied by calculating the running mean which is the mean of all sampled values up to and including that at a given iteration. We thus generate a time series(Iteration number) graph of the ...
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Estimation of the scale parameter of gamma model in presence of outlier observations
... and TSOKOS, C.P., A Study of an Ordinary and Empirical Bayes Approach to Reliability Estimation in the Gamma Life Testing Model, Proceedings 1971 Annual Reliability and Malntalnabil.ty S[r] ...
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Sequential point and interval estimation of scale parameter of exponential distribution
... Here we derive exact expressions for the stopping time and confidence coefficient of the fixed-width interval estimation procedure and for the stopping time associted with point estimati[r] ...
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A class of shrinkage estimators for the shape parameter of the Weibull lifetime model
... the parameter for improving the performance of the existing estimator ˆ ...the scale parameter and reliability function of the Weibull ...shape parameter of the Weibull ...shape ...
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Estimation of the Parameters of the Reversed Generalized Logistic Distribution with Progressive Censoring Data
... 2 We can determine numerically the values of the MLEs φ and σ by solving 4.8 and 4.9 numerically to be 0.2248 and 0.6445, respectively. By Theorem 4.2 and using Mathematica Package we can get a 95% confidence interval ...
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A Numerical Comparison of Three Procedures Used in Failure Model Discrimination
... shape parameter and scale parameter 1 and check whether a given procedure correctly select the distribution or ...shape parameter increases the PCS values for RML or S or F-procedure ...
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Time Scale Approach to One Parameter Plane Motion by Complex Numbers
... time scale complex plane. The motion is called as one-parameter planar motion by the complex numbers on the time scale and denoted as H 1 = E E ′ for a planar motion of E relative to E ...time ...
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Parameter identification of two-time-scale nonlinear transient models
... two-time-scale parameter identifica- tion process, using time-homogenized models: the adaptation of a classical identification strategy based on an adjoint state formulation to estimate the misfit ...
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Modified Maximum Likelihood Estimation from Censored Samples in Burr Type X Distribution
... In the above models k and c are the positive parameters involved in the respective models. Among these twelve forms, the type X and type XII models are most frequently applied by many researchers. Our focus is Burr Type ...
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Sensitivity analysis of scenario models for operational risk Advanced Measurement Approach
... This shows that for same percentage change in MS and WS (ie, a%=b%), change in VaR would also be a%. ie, if WS and MS are changed by a scalar such that WS/MS ratio is held constant, then VaR changes by the same scalar. ...
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Sound waves in hadronic matter
... Whereas the occurrence of a complex power index n is a rather ubiquitous phenomenon in situations where one encounters scaling phenomena, a varying scale parameter (temperature) T is not so widely known or ...
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Robust Scale Estimation for the Generalized Gaussian Probability Density Function
... the scale parameter σ that needs to be robustly assessed along with ...the scale estimate include in particular the Median Absolute Deviation (Hampel et ...
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The Locally Weighted Bag of Words Framework for Document Representation
... We conducted a series of experiments examining the benefit in introducing dynamic time warp- ing or registration in text classification. Somewhat surprisingly, adding dynamic time warping or registration to lowbow ...
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