Titlebook: Applied Statistical Methods; ISGES 2020, Pune, In David D. Hanagal,Raosaheb V. Latpate,Girish Chandr Conference proceedings 2022 The Editor

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https://doi.org/10.1007/978-3-642-74772-4ey relational analysis (GRA), a method for multiple attribute decision-making situations, to select the potent isolates of . causing leaf spot on poplar. Earlier, three methods, viz. rough gauging, equal class interval and unequal class interval, were attempted. Poplar is an important tree in the ag

Ganglion-Cyst

Coronary-Spasm

Environments for Multi-Agent Systemsrd rate. We estimate the parameters in these frailty models and use the Bayesian paradigm of the Markov chain Monte Carlo technique. Model selection criteria have been performed for the comparison of models. We analyze Australian twin data and suggest a better model.

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Lecture Notes in Computer Sciences available in literature for evaluating ultimate ruin probability for different distributions. Probability of ultimate ruin is derived for a risk model under Benktander Gibrat (BG) distribution, also known as Benktander Type I distribution. Laplace transform, generalized exponential integrals, Meij

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Environments for Multi-Agent Systems IIIred strategy is one that balances the distribution of covariates across the treatment arms and assigns more subjects to the treatments associated with better outcomes. Sequential multiple assignment randomized trial (SMART) designs involve an initial stage in which participants are randomized to a s

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Facilities

Michael D. Maltz,Stephen K. Ricef semi-Markov process and regenerative point technique has been made to derive the expressions for mean time to system failure (MTSF) and availability of the systems in the long run. The behaviour of these measures has been examined for arbitrary values of the parameters associated with failure, rep

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Why Criminals Tell Us the Truthtional densities, and expression for the kth moment, are derived. Parameter estimation based on upper record values is carried out using the method of moments, maximum likelihood, and Bayesian approach. Further, prediction of future upper record values is made using both frequentist and Bayesian met