MODEL REGRESI POISSON TERGENERALISASI I
Poisson regression model is one of nonlinear regression model that used to analyze count data, where values of mean and variance of response variable are equal, that termed equidispersion. However, quite often founded that count data exhibit substantial variations where the variance of the response...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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| _version_ | 1826043433294233600 |
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| author | , RAHMALIAH SAHUPALA , Prof. Dr. Sri Haryatmi, M.Sc., |
| author_facet | , RAHMALIAH SAHUPALA , Prof. Dr. Sri Haryatmi, M.Sc., |
| author_sort | , RAHMALIAH SAHUPALA |
| collection | UGM |
| description | Poisson regression model is one of nonlinear regression model that used to analyze count data, where values of mean and variance of response variable are equal, that termed equidispersion. However, quite often founded that count data exhibit substantial variations where the variance of the response variable is either smaller or larger than the mean and it is classified as under- or over-dispersion, respectively. It can cause the parameter estimation are not accurate. One model that can be used to handling that problem is generalized Poisson I regression model. |
| first_indexed | 2024-03-13T22:03:36Z |
| format | Thesis |
| id | oai:generic.eprints.org:88330 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:03:36Z |
| publishDate | 2011 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:883302014-08-20T02:53:15Z https://repository.ugm.ac.id/88330/ MODEL REGRESI POISSON TERGENERALISASI I , RAHMALIAH SAHUPALA , Prof. Dr. Sri Haryatmi, M.Sc., ETD Poisson regression model is one of nonlinear regression model that used to analyze count data, where values of mean and variance of response variable are equal, that termed equidispersion. However, quite often founded that count data exhibit substantial variations where the variance of the response variable is either smaller or larger than the mean and it is classified as under- or over-dispersion, respectively. It can cause the parameter estimation are not accurate. One model that can be used to handling that problem is generalized Poisson I regression model. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , RAHMALIAH SAHUPALA and , Prof. Dr. Sri Haryatmi, M.Sc., (2011) MODEL REGRESI POISSON TERGENERALISASI I. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50265 |
| spellingShingle | ETD , RAHMALIAH SAHUPALA , Prof. Dr. Sri Haryatmi, M.Sc., MODEL REGRESI POISSON TERGENERALISASI I |
| title | MODEL REGRESI POISSON TERGENERALISASI I |
| title_full | MODEL REGRESI POISSON TERGENERALISASI I |
| title_fullStr | MODEL REGRESI POISSON TERGENERALISASI I |
| title_full_unstemmed | MODEL REGRESI POISSON TERGENERALISASI I |
| title_short | MODEL REGRESI POISSON TERGENERALISASI I |
| title_sort | model regresi poisson tergeneralisasi i |
| topic | ETD |
| work_keys_str_mv | AT rahmaliahsahupala modelregresipoissontergeneralisasii AT profdrsriharyatmimsc modelregresipoissontergeneralisasii |