Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/12945
Title: Characterization of distributions and related results
Researcher: Ziaul Haque
Guide(s): Abdul Hamid Khan
Keywords: Statistics
Truncation
Order Statistics
Upload Date: 12-Nov-2013
University: Aligarh Muslim University
Completed Date: 2010
Abstract: In applied statistics, one observes a random quantity X , a number of times and based on these observations, one would like to conclude facts about the distribution function ) (x F of X . The usual approach is to start with a family and#61510;and#61472;of distributions and to select from this family a distribution ) (x F which is the most acceptable one in a given sense. Unfortunately in many cases and#61510;and#61472;simply consist of a single function which is dependent on one or several parameters and the observations are used merely to approximate its parameters. The function thus obtained is chosen as ) (x F [Galambos and Kotz, 1978]. Characterization is a condition involving certain properties of a random variables ) , , , ( 2 1 n X X X X K and#61501;and#61472;, which identifies the associated distribution function ) (x F . The property that uniquely determines ) (x F may be based on a function of random variables whose joint distribution is related to that of ) , , , ( 2 1 n X X X X K and#61501;and#61472;. newlineThe only method of finding distribution function ) (x F exactly, which avoids the subjective choice, is a characterization theorem. A theorem is on a characterization of a distribution function if it concludes that a set of conditions is satisfied by ) (x F and only by ) (x F . Another important consequence of characterization theorem is that these results help us in better understanding the structures and implications of the choice of distribution for a special problem. With this in view, some distributions here are characterized through records, order statistics, generalized order statistics and dual generalized order statistics.Main contributors for characterizations through order statistics are: newlineFerguson (1967), Shanbhag (1970), Hamdan (1972), Beg and Kirmani (1978), Khan and Khan (1986), Khan and Beg (1987), Khan and Ali (1987), Nagaraja (1988), Khan and Abu-Salih (1989), Ouyang and Wu (1996), Franco and Ruiz (1995, 1997), Blaquez and Rebollo (1997), Wesolowski and Ahsanullah (1997), Dembiand#324;ska and Wesolowski (1998) and Khan and Abouammoh (2000), Lee et al. (2002)
Pagination: 128p.
URI: http://hdl.handle.net/10603/12945
Appears in Departments:Department of Statistics & Operational Research

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01_title.pdfAttached File185.97 kBAdobe PDFView/Open
02_certificate.pdf34.95 kBAdobe PDFView/Open
03_acknowledgements.pdf36.75 kBAdobe PDFView/Open
04_preface.pdf20.38 kBAdobe PDFView/Open
05_abstract.pdf92.61 kBAdobe PDFView/Open
06_contents.pdf40 kBAdobe PDFView/Open
07_chapter 1.pdf226.01 kBAdobe PDFView/Open
08_chapter 2.pdf199.29 kBAdobe PDFView/Open
09_chapter 3.pdf116.18 kBAdobe PDFView/Open
10_chapter 4.pdf160.89 kBAdobe PDFView/Open
11_chapter 5.pdf100.86 kBAdobe PDFView/Open
12_references.pdf62.21 kBAdobe PDFView/Open


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