Titlebook: Binomial Distribution Handbook for Scientists and Engineers; Elart Collani,Klaus Dräger Book 2001 Springer Science+Business Media New York

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https://doi.org/10.1007/978-1-4612-0215-8Applied Statistics; Binomial distribution; Distribution Theory; Estimator; Multivariant Analysis; data an

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978-1-4612-6666-2Springer Science+Business Media New York 2001

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https://doi.org/10.1007/978-3-662-46190-7eld of scientific research but are also applied in an ever-increasing intensity in industry, administration, health care, and so forth. Nowadays, there is hardly any science which does not have a particular statistical branch. The reason for this development is very simple: Science investigates diff

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https://doi.org/10.1007/978-3-662-48227-8s, their application establishes random experiments. In order to assess the measurement precision, the inherent uncertainty has to be taken into account by a stochastic model, which incorporates the quantity of interest as part of the distribution parameter.

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Carlos R. Ferreira,Kristina Cusmano-Ozoging measure functions is given. This theoretical introduction to approach and procedures addresses primarily academic and professional statisticians. In contrast, the present chapter is devoted to non-statisticians and statisticians who are only interested in applying statistical methods without bot