Hypothesis Testing: A General Framework

Konstantin M. Zuev ()
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Konstantin M. Zuev: California Institute of Technology, Department of Computing and Mathematical Sciences

Chapter 9 in Fundamentals of Statistical Inference, 2026, pp 185-212 from Springer

Abstract: Abstract In previous chapters, we learned how to estimate model parameters and other quantities of interest in both parametric and nonparametric settings. In many applications, however, researchers are interested in checking certain statements about parameters rather than estimating their values per se. In this chapter, we will develop a general framework for testing statistical hypotheses and discuss in detail an important but often misused and misunderstood concept of the p-value.

Keywords: hypothesis testing; null hypothesis; alternative hypothesis; type Ierorr; type II error; power function; test size; p-value (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-03848-7_9

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