A review of testing procedures based on the empirical characteristic function

dc.contributor.author	Meintanis, Simos G.
dc.contributor.researchID	21262977 - Meintanis, Simos George
dc.date.accessioned	2017-04-18T06:19:59Z
dc.date.available	2017-04-18T06:19:59Z
dc.date.issued	2016
dc.description.abstract	The empirical characteristic function (ECF) has been in use in statistical inference for nearly fifty years now. We provide an overview of testing procedures based on the ECF within certain statistical models. Specifically our emphasis is on recent developments of ECF procedures for goodness-of-fit testing for parametric families of distributions with structured data, and for the two-sample and the k -sample problem	en_US
dc.identifier.citation	Meintanis, S.G. 2016. A review of testing procedures based on the empirical characteristic function. South African statistical journal, 50(1):1-14. [http://hdl.handle.net/10520/EJC186846]	en_US
dc.identifier.issn	0038-271X
dc.identifier.issn	1996-8450 (Online)
dc.identifier.uri	http://hdl.handle.net/10394/21412
dc.identifier.uri	https://journals.co.za/deliver/fulltext/sasj/50/1/sasj_v50_n1_a1.pdf?itemId=/content/sasj/50/1/EJC186846&mimeType=pdf&containerItemId=content/journal/sasj
dc.identifier.uri	http://hdl.handle.net/10520/EJC186846
dc.language.iso	en	en_US
dc.publisher	SASA	en_US
dc.subject	Dependent data	en_US
dc.subject	Goodness-of-fit	en_US
dc.subject	Regression data	en_US
dc.subject	Two-sample problem	en_US
dc.title	A review of testing procedures based on the empirical characteristic function	en_US
dc.type	Article	en_US

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