Statistical inference

Khan, Shahjahan (2010) Statistical inference. In: Scientific data mining and knowledge discovery: principles and foundations. Springer-Verlag, Berlin / Heidelberg, Germany, pp. 53-76. ISBN 978-3-642-02787-1

Abstract

This chapter discusses the foundations, philosophies, and methods of Statistical Inference in a broader perspective from the scientific viewpoint. It reviews the classical and Bayesian approaches and highlights the issues of sample and non-sample information in the context of decision making. In addition to the inferences on parametric set up, it also covers predictive inference for future unobserved responses. The popular linear models are used for illustrations of the approaches and methods.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: © Springer-Verlag, Berlin / Heidelberg 2010. Permanent restricted access to published version due to publisher copyright restrictions. Print version held in the USQ Library at call no. 006.312 Sci. Fulltext Reference: Khan, S. (2010). Statistical Inference. In Scientific Data Mining and Knowledge Discovery: Principles and Foundations, p.53-76, ed. by M. M. Gaber, Springer-Verlag, Berlin / Heidelberg.
Depositing User: Professor Shahjahan Khan
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 22 Mar 2011 05:40
Last Modified: 02 Jul 2013 23:40
Uncontrolled Keywords: statistical inference; sampling
Fields of Research (FOR2008): 01 Mathematical Sciences > 0104 Statistics > 010405 Statistical Theory
Socio-Economic Objective (SEO2008): B Economic Development > 89 Information and Communication Services > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified
Identification Number or DOI: doi: 10.1007/978-3-642-02788-8
URI: http://eprints.usq.edu.au/id/eprint/6962

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