Type of Material: | Thesis |
Title: | Some properties and inferential problems related to non- normal distributions with Kurtosis Three |
Researcher: | Kurian, James |
Guide: | George, Sebastian |
Department: | Department of Statistics |
Publisher: | Mahatma Gandhi University |
Place: | Kottayam |
Year: | January 2008 |
Language: | English |
Subject: | Robustness | Edgeworth expansion | Gaussian error model | Location-scale family | Mixture distributions | Mml estimation | Moment measure of kurtosis | Statistics |
Dissertation/Thesis Note: | PhD |
Fulltext: | Shodhganga |
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035 | __ | |a(IN-AhILN)th_260613 |
040 | __ | |aMGND_686560|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aKurian, James|eResearcher |
110 | __ | |aDepartment of Statistics|bMahatma Gandhi University|dKottayam |
245 | __ | |aSome properties and inferential problems related to non- normal distributions with Kurtosis Three |
260 | __ | |aKottayam|bMahatma Gandhi University|cJanuary 2008 |
502 | __ | |bPhD |
518 | __ | |oDate of Notification|d2008-01 |
520 | __ | |aNormal distribution is one of the most celebrated statistical distribution in the literature. The importance of normal distribution is mostly because of central limit theorem, one of the fundamental theorem that form a bridge between Probability and Sta |
650 | __ | |2UGC|aStatistics |
653 | __ | |aRobustness |
653 | __ | |aEdgeworth expansion |
653 | __ | |aGaussian error model |
653 | __ | |aLocation-scale family |
653 | __ | |aMixture distributions |
653 | __ | |aMml estimation |
653 | __ | |aMoment measure of kurtosis |
700 | __ | |aGeorge, Sebastian|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/7197|yShodhganga |
905 | __ | |anotification |
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