On Discrimination Between the Lindley and xgamma Distributions
For a given data set the problem of selecting either Lindley or xgamma distribution with unknown parameter is investigated in this article. Both these distributions can be used quite effectively for analyzing skewed non-negative data and in modeling time-to-event data sets. We have used the ratio of...
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| Veröffentlicht in: | Annals of data science 2021-09, Vol.8 (3), p.559-575 |
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| creator | Sen, Subhradev Al-Mofleh, Hazem Maiti, Sudhansu S. |
| description | For a given data set the problem of selecting either Lindley or xgamma distribution with unknown parameter is investigated in this article. Both these distributions can be used quite effectively for analyzing skewed non-negative data and in modeling time-to-event data sets. We have used the ratio of the maximized likelihoods in choosing between the Lindley and xgamma distributions. Asymptotic distributions of the ratio of the maximized likelihoods are obtained and those are utilized to determine the minimum sample size required to discriminate between these two distributions for user specified probability of correct selection and tolerance limit. |
| doi_str_mv | 10.1007/s40745-020-00243-7 |
| format | Article |
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Asymptotic distributions of the ratio of the maximized likelihoods are obtained and those are utilized to determine the minimum sample size required to discriminate between these two distributions for user specified probability of correct selection and tolerance limit.</description><subject>Artificial Intelligence</subject><subject>Business and Management</subject><subject>Datasets</subject><subject>Economics</subject><subject>Finance</subject><subject>Insurance</subject><subject>Management</subject><subject>Random variables</subject><subject>Science</subject><subject>Statistics</subject><subject>Statistics for Business</subject><issn>2198-5804</issn><issn>2198-5812</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kD1PwzAQhi0EElXpH2CKxGw4n-04WZCgfEqRunS3nMQpqRqn2Kmg_x6HINiY7obnfU_3EHLJ4JoBqJsgQAlJAYECoOBUnZAZsjyjMmN4-ruDOCeLELYQKSYAuZyR25VLHtpQ-bZrnRna3iX3dviw1iXDm02K1tU7e0yMq5PPjek6M9KDb8vDyIYLctaYXbCLnzkn66fH9fKFFqvn1-VdQSvkQtGcq8ZgygyzgJVBgxxBiLTJbWXzDAxHzg2rhVR1nascVdZkssmqusQUSj4nV1Pt3vfvBxsGve0P3sWLGqWUyCHlIlI4UZXvQ_C20fv4lvFHzUCPpvRkSkdT-tuUVjHEp1CIsNtY_1f9T-oLszJp2Q</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Sen, Subhradev</creator><creator>Al-Mofleh, Hazem</creator><creator>Maiti, Sudhansu S.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20210901</creationdate><title>On Discrimination Between the Lindley and xgamma Distributions</title><author>Sen, Subhradev ; 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| ispartof | Annals of data science, 2021-09, Vol.8 (3), p.559-575 |
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| language | eng |
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| source | Springer Online Journals |
| subjects | Artificial Intelligence Business and Management Datasets Economics Finance Insurance Management Random variables Science Statistics Statistics for Business |
| title | On Discrimination Between the Lindley and xgamma Distributions |
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