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  • Statistics In Transition

 

Article | 20-September-2020

Poisson Weighted Ishita Distribution: Model for Analysis of Over-Dispersed Medical Count Data

Bilal Ahmad Para, Tariq Rashid Jan

Statistics in Transition New Series, Volume 21 , ISSUE 3, 171–184

Article | 15-September-2020

Confidence bands for a distribution function with merged data from multiple sources

the real line and its weak convergence to a Gaussian process. Based on these asymptotic properties, we propose a simulation-based confidence band that enjoys asymptotically correct coverage probability. The finite sample performance is evaluated through a simulation study. A Wilms tumor example is provided.

Takumi Saegusa

Statistics in Transition New Series, Volume 21 , ISSUE 4, 144–158

Article | 22-January-2018

BAYESIAN ESTIMATION OF MEASLES VACCINATION COVERAGE UNDER RANKED SET SAMPLING

proposed RSS-based Bayes estimator is compared with that of the corresponding classical version estimator based on maximum likelihood principle. The proposed procedure is used to estimate measles vaccination coverage probability among the children of age group 12-23 months in India using the real-life epidemiological data from National Family Health Survey-III.

Radhakanta Das, Vivek Verma, Dilip C. Nath

Statistics in Transition New Series, Volume 18 , ISSUE 4, 589–608

Article | 20-December-2020

Comparing particulate matter dispersion in Thailand using the Bayesian Confidence Intervals for ratio of coefficients of variation

show that the Bayesian confidence interval performed better than the others in terms of coverage probability and average length. The proposed approach and the existing approaches are illustrated using examples from data set PM10 level and PM2.5 level in the northern Thailand.

Warisa Thangjai, Suparat Niwitpong

Statistics in Transition New Series, Volume 21 , ISSUE 5, 41–60

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