Titlebook: Likelihood and Bayesian Inference; With Applications in Leonhard Held,Daniel Sabanés Bové Textbook 2020Latest edition Springer-Verlag GmbH

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Leonhard Held,Daniel Sabanés Bovéncertainty that exists in such systems. Fully explaining all the techniques used, the book is of interest to engineers, researchers and scientists working in the field of the wireless sensor networks, IoT systems and their access control management. ?978-3-030-65000-1978-3-030-64998-2Series ISSN 2194-8402 Series E-ISSN 2194-8410

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Likelihood Inference in Multiparameter Models,The concepts described in Chap. . are now extended to multiparameter models. The concept of profile likelihood is introduced as well as the generalised likelihood ratio statistic. The conditional likelihood, an alternative way to eliminate a nuisance parameter, is discussed. Exercises are given at the end.

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978-3-662-60794-7Springer-Verlag GmbH Germany, part of Springer Nature 2020

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Likelihood and Bayesian Inference978-3-662-60792-3Series ISSN 1431-8776 Series E-ISSN 2197-5671

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Likelihood,tion, and Fisher information. Computational algorithms are treated to compute the maximum likelihood estimate, such as optimisation and the EM algorithm. The concept of sufficiency and the likelihood principle are finally discussed in some detail. Exercises are given at the end.