Linear Hypotheses and their Tests

N. R. Mohan Madhyastha (), S. Ravi and A. S. Praveena
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N. R. Mohan Madhyastha: University of Mysore, Department of Studies in Statistics
S. Ravi: University of Mysore, Department of Studies in Statistics
A. S. Praveena: University of Mysore, Department of Studies in Statistics

Chapter Chapter 2 in A First Course in Linear Models and Design of Experiments, 2020, pp 19-41 from Springer

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8659-0_2

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DOI: 10.1007/978-981-15-8659-0_2

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