Basic Statistical Inference

Wallace R. Blischke (), M. Rezaul Karim () and D. N. Prabhakar Murthy ()
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M. Rezaul Karim: Rajshahi University
D. N. Prabhakar Murthy: The University of Queensland

Chapter Chapter 9 in Warranty Data Collection and Analysis, 2011, pp 191-228 from Springer

Abstract: Abstract Once data are collected, edited, summarized and otherwise prepared for detailed analysis, basic methods of statistical inference are applied to address stated experimental and management objectives. In this chapter, we look at several key statistical techniques that are used in inference, particularly in the context of reliability and warranty analysis. These include (1) estimation, including maximum likelihood, several other methods of point estimation, and confidence intervals; (2) hypothesis testing, including comparison of two population means; (3) nonparametric methods for comparing populations; (4) tolerance intervals for estimating population fractiles; and (5) rank correlation for measuring data relationships.

Keywords: Likelihood Function; Exponential Distribution; Weibull Distribution; Maximum Likelihood Estimator; Asymptotic Variance (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-0-85729-647-4_9

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DOI: 10.1007/978-0-85729-647-4_9

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