[PDF] Top 20 Estimation and prediction based on k-record values from normal distribution
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Estimation and prediction based on k-record values from normal distribution
... lower k-record statistics. Since the ordinary record values are contained in the k-records, by putting =1 k , the results for usual records can be ob- tained as special ... See full document
12
Inference Based on k-Record Values from Generalized Exponential Distribution
... GE distribution has increasing or decreasing hazard rate depending on the shape parameter ...lower record values arising from GE dis- tribution and also obtained the BLUE’s of the location and ... See full document
20
Bayesian Inference and Prediction for Normal Distribution Based on Records
... predictors based on priors 1 and 2 compare to each other, we also carried out a Monte Carlo ...upper record values from the standard normal distribution and used the first four ... See full document
22
Bayesian Estimation for Nadarajah-Haghighi Distribution Based on Upper Record Values
... Taking loss parameter k = 0.6 and 1.6 , the Bayesian estimates of the parameters are derived with respect to three loss functions, SEL, BSEL and GEL functions. Also, we have considered the values of ... See full document
14
Estimation of Inverse Rayleigh Distribution Parameters for Type II Singly and Doubly Censored Data Based on Lower Record Values
... Rayleigh distribution by quadratic coefficients ...Rayleigh distribution using order statistics in a Type II censored ...of record values from normal distribution was ... See full document
13
Bayesian analysis for the Burr type XII distribution based on record values
... underlying distribution is exponential the record values have been studied by Awad and Raqab (2000), they studied four procedures for obtaining prediction intervals for the future s-th ... See full document
15
Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
... inference based on n selected generalized order statistics (GOS) from inverse Weibull distribution (IWD), Bayesian and non-Bayesian approaches have been used to obtain the estimators of the ... See full document
9
Inferences for the Generalized Logistic Distribution Based on Record Statistics
... by normal distribution function as mentioned in Subsection ...likelihood estimation (AMLE) confidence intervals, Bootstrap confidence intervals and approximate credible intervals based on the ... See full document
13
Bayesian Estimation Based on Record Values from Exponentiated Weibull Distribution: An Markov Chain Monte Carlo Approach
... by normal distribution function as mentioned in Subsection ...likelihood estimation (AMLE) confidence intervals, Bootstrap confidence intervals and approximate credible intervals based on the ... See full document
7
Estimation of parameters of a two-parameter rectangular distribution and its characterization by k-th
... the k-th upper record val- ues to develop inferential procedures such as point ...gular distribution in terms of k-th upper record ...of estimation of parameters for the power ... See full document
12
Statistical inference based on k-records
... of record models, well known as k-records, is ...Bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to ... See full document
16
On Generalized Upper(k)Record Values From Weibull Distribution
... upper(k)record values arising from Weibull ...upper(k)record values are derived. Some properties of generalized upper(k)record values which ... See full document
18
Inference for exponentiated general class of distributions based on record values
... When the current (informative) sample is observed, suppose that 𝑛 past similar samples 𝑋 𝑗,𝐿(1) , 𝑋 𝑗,𝐿(2) , … , 𝑋 𝑗,𝐿(𝑚) , 𝑗 = 1,2, … , 𝑛 are available with past realization 𝜃 1 , 𝜃 2 , … , 𝜃 𝑛 of the random variable 𝜃. ... See full document
13
Is it necessarily a normally distributed data for kriging? A case study: soil salinity map of Ghahab area, central Iran
... errors from the both sets of data ...the distribution of the predictions and the ...the values of 10, 100 and 1000 is ...these values is 2, and if it is back-transformed, the mean will be ... See full document
10
Improvement of hydrological model calibration by selecting multiple parameter ranges
... is based on stochastic or mathematical calculations and thus more widely applied in the non-linear parameter optimiza- ...Different from classical methods above, the genetic algorithm (GA), which is ... See full document
15
The generalized Cauchy family of distributions with applications
... Cauchy distribution. From (1), if T ¼ d Y ; then X ¼ d Cauchy ð Þ: θ Also, if Y ¼ d Cauchy ð Þ; θ then X ¼ d T : Furthermore, when T ~ beta(a, b) and Y ~ uniform(0, 1), the T-Cauchy{Y} reduces to the beta- ... See full document
16
Bayesian analysis using MCMC methods of record values based on a new generalised Rayleigh distribution
... Rayleigh distribution to create a gen- eralised Rayleigh distribution which is more flexible than the ...new distribution are derived and investigated, with properties of more standard distributions, ... See full document
18
Data Based Estimation of Near Future Values of Blood Glucose with K Nearest Neighborhood Algorithm
... The food we eat is converted to glucose at the end of digestion process. The glucose in the blood stream has to be transformed to energy and will be absorbed by the body cells. Insulin which is secreted from the ... See full document
5
Record Values on The Size-Biased Student’s t Distribution
... upper record values from the size-biased student’s t distribution are provided for different values of ν and ...seen from these graphs. The above graphs show that the ... See full document
5
The Uncertainty Reduction for the Refined Sample Mean of Combined Quantities
... found from the two figures that the original signal will be affected by the sample mean if it only takes the Q2MMSE-CLT ...found from these two figures that, as we apply the ESQ2MMSE-CLT algorithm with 4 ... See full document
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