1Jurusan Ilmu Kelautan Fakultas Perikanan dan Ilmu Kelautan Kampus Tembalang,, Indonesia
2Universitas Diponegoro, Semarang, Indonesia, Indonesia
BibTex Citation Data :
@article{IK.IJMS2344, author = {Dwi Ismunarti and Subagiyo Subagiyo and Ria Azizah TN}, title = {Analisis Regresi Poisson untuk Menduga Hubungan Kelimpahan Makrobenthos dengan Parameter Kualitas Perairan}, journal = {ILMU KELAUTAN: Indonesian Journal of Marine Sciences}, volume = {9}, number = {4}, year = {2012}, keywords = {}, abstract = { Fungsi peluang poisson merupakan standar model untuk variabel cacah. Sebagai contoh banyaknya makrobenthos dan faktor-faktor oseanografi yang mempengaruhinya dapat didekati dengan model regresi poisson. Model regresi poisson dapat diduga menggunakan fungsi GLM (generalized linear models) dari program S-PLUS. Faktor-faktor oseanografi yang berpengaruh terhadap jumlah makrobenthos adalah salinitas, kecerahan, kecepatan arus, DO dan suhu. Kata kunci : peluang poisson, variabel cacah, makrobenthos The poisson probability provides the standard models for count variable. As an example, the number of makrobenthos and oceanograpy factors could be approach a poisson regression model. The poisson regression can be fitted using the function GLM, which fits Generailized Linear Models in S-PLUS program. Oceanography factors as having an effect on the number of makrobenthos are salinity, kecerahan, kecepatan arus,DO dan suhu. Key words : poisson probability, count variable, makrobenthos }, issn = {2406-7598}, pages = {230--237} doi = {10.14710/ik.ijms.9.4.230-237}, url = {https://ejournal.undip.ac.id/index.php/ijms/article/view/2344} }
Refworks Citation Data :
Fungsi peluang poisson merupakan standar model untuk variabel cacah. Sebagai contoh banyaknya makrobenthos dan faktor-faktor oseanografi yang mempengaruhinya dapat didekati dengan model regresipoisson. Model regresi poisson dapat diduga menggunakan fungsi GLM (generalized linear models) dari program S-PLUS. Faktor-faktor oseanografi yang berpengaruh terhadap jumlah makrobenthos adalah salinitas, kecerahan, kecepatan arus, DO dan suhu.
Kata kunci : peluang poisson, variabel cacah, makrobenthos
The poisson probability provides the standard models for count variable. As an example, the number of makrobenthos and oceanograpy factors could be approach a poisson regression model. The poissonregression can be fitted using the function GLM, which fits Generailized Linear Models in S-PLUS program. Oceanography factors as having an effect on the number of makrobenthos are salinity, kecerahan, kecepatanarus,DO dan suhu.
Key words : poisson probability, count variable, makrobenthos
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