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Erschienen in:
2020 | OriginalPaper | Buchkapitel
2. Linear Hypotheses and their Tests
verfasst von : N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena
Erschienen in: A First Course in Linear Models and Design of Experiments
Verlag: Springer Singapore
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Abstract
The two important statistical aspects of modeling are estimation and testing of statistical hypotheses. As a sequel to the previous chapter on linear estimation, questions such as what the statistical hypotheses that can be tested in a linear model are and what the test procedures are, naturally arise. This chapter answers such questions, for example, comparison of two or more treatments/methods occurs often in real-life problems such as comparing the effect of two or more drugs for curing a particular medical condition, comparing two or more diets on the performance of athletes/sportspersons in a particular sporting event, comparing two or more training methods, and whatnot.