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Statistical Inference for Normal Populations

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Introductory Statistics and Random Phenomena

Part of the book series: Modern Birkhäuser Classics ((MBC))

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Abstract

In this chapter the general assumption is that the statistical model is normal. We begin by discussing the general issue of parametric inference and then quickly move to construction of confidence intervals for one-sample models and the related hypothesis testing issues. A few remarks on the two-sample model follow and the chapter concludes with the regression analysis for the normal model and a goodness-of-fit test.

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Denker, M., Woyczynski, W. (2017). Statistical Inference for Normal Populations. In: Introductory Statistics and Random Phenomena. Modern Birkhäuser Classics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-66152-0_8

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