Titlebook: Chaos, Complexity, and Leadership 2023; Şefika Şule Erçetin,Şuay Nilhan Açıkalın,Luís Tomé Conference proceedings 2024 The Editor(s) (if a

RAG

Bureaucracy

,Parameter Estimation for Kumaraswamy Weibull Distribution Under Ranked Set Sampling, are derived based on ranked set sampling (RSS) method under the assumption of known shape parameters, see Tiku (., .) in the context of MML methodology. MML estimators based on RSS are compared with the traditional maximum likelihood (ML) estimators based on simple random sampling (SRS) via Monte-C

quiet-sleep

Job Satisfaction and Motivation of Teachers in Changing World,to adapt. These rapid changes increase the need for qualified manpower in line with the requirements of the age, but education systems do not have the reflexes to respond to these needs. On the other hand, it is still unclear what kind of manpower will be needed in the coming years, what the new job

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tympanometry

Some Comments on Increasing Modelling Efficiency of Weibull Distribution,l distribution is introduced by extracting the conditional diagonal section from the bivariate Farlie-Gumbel-Morgenstern distribution, where the marginals follow the Weibull distribution. The characteristics and specifications of this newly proposed distribution are thoroughly examined. Statistical

milligram

confide

right-atrium

Inveterate

Harness

Jun Wang,Junfu Xiang,Kanji Uchinoarlo simulation study in terms of bias, mean squares error (.) and relative efficiency (.) criteria. According to the results of the simulation study, MML estimators based on RSS are found to be more efficient than the ML estimators based on SRS in most of the simulation scenarios.