Regression Analysis With a Dtochastic Design Variable
| dc.contributor.author | Sazak, HS | |
| dc.contributor.author | Tiku, ML | |
| dc.contributor.author | Islam, MQ | |
| dc.date.accessioned | 2016-04-01T11:05:00Z | |
| dc.date.accessioned | 2025-09-18T16:08:22Z | |
| dc.date.available | 2016-04-01T11:05:00Z | |
| dc.date.available | 2025-09-18T16:08:22Z | |
| dc.date.issued | 2006 | |
| dc.description | Sazak, Hakan Savas/0000-0001-6123-1214 | en_US |
| dc.description.abstract | In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given. | en_US |
| dc.identifier.citation | Sazak, H., Tiko, ML., Islam, MQ. (2006). Regression analysis with a dtochastic design variable. International Statistical Review, 74(1), 77-88. | en_US |
| dc.identifier.doi | 10.1111/j.1751-5823.2006.tb00162.x | |
| dc.identifier.issn | 0306-7734 | |
| dc.identifier.issn | 1751-5823 | |
| dc.identifier.scopus | 2-s2.0-33645523431 | |
| dc.identifier.uri | https://doi.org/10.1111/j.1751-5823.2006.tb00162.x | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/15047 | |
| dc.language.iso | en | en_US |
| dc.publisher | Wiley | en_US |
| dc.relation.ispartof | International Statistical Review | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Stochastic Design | en_US |
| dc.subject | Non-Normality | en_US |
| dc.subject | Modified Likelihood | en_US |
| dc.subject | Least Squares | en_US |
| dc.subject | Correlation Coefficient | en_US |
| dc.subject | Hypothesis Testing | en_US |
| dc.title | Regression Analysis With a Dtochastic Design Variable | en_US |
| dc.title | Regression analysis with a dtochastic design variable | tr_TR |
| dc.type | Article | en_US |
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| gdc.author.id | Sazak, Hakan Savas/0000-0001-6123-1214 | |
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| gdc.author.wosid | Sazak, Hakan Savas/Aag-4911-2021 | |
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| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | Middle E Tech Univ, Dept Stat, TR-06531 Ankara, Turkey; Cankaya Univ, Dept Econ, TR-06530 Ankara, Turkey | en_US |
| gdc.description.endpage | 88 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 77 | en_US |
| gdc.description.volume | 74 | en_US |
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| gdc.oaire.keywords | Least squares | |
| gdc.oaire.keywords | Statistics and Probability | |
| gdc.oaire.keywords | Correlation coefficient | |
| gdc.oaire.keywords | Hypothesis testing | |
| gdc.oaire.keywords | Non-normality | |
| gdc.oaire.keywords | Stochastic design | |
| gdc.oaire.keywords | Statistics, Probability and Uncertainty | |
| gdc.oaire.keywords | Modified likelihood | |
| gdc.oaire.keywords | Linear regression; mixed models | |
| gdc.oaire.keywords | non-normality | |
| gdc.oaire.keywords | Point estimation | |
| gdc.oaire.keywords | Computational problems in statistics | |
| gdc.oaire.keywords | Parametric hypothesis testing | |
| gdc.oaire.keywords | modified likelihood | |
| gdc.oaire.keywords | least squares | |
| gdc.oaire.keywords | General nonlinear regression | |
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| gdc.virtual.author | Islam, M.Qamarul | |
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