Browsing Dissertations by Author "Indahwati"
Now showing items 1-5 of 5
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Analisis kapasitas perikanan tangkap dalam rangka pengelolaan armada penangkapan di Provinsi Gorontalo
Olii, Abdul Hafidz | Barizi | Indahwati (2007)Kelebihan kapasitas di wilayah pantai dapat mempercepat dan memperburuk kondisi kesejahteraan nelayan tradisional, stok sumberdaya ikan menjadi over exploited atau bahkan terkuras habis, adanya penurunan hasil tangkapan, ... -
COPULA BASED PREDICTIONS IN SMALL AREA ESTIMATION FOR BETA DISTRIBUTED RESPONSE VARIABLES
Agustina, Din Nurika | Notodiputro, Khairil Anwar | Indahwati | Syafitri, Utami Dyah (2025)The model-based estimation approach, specifically small area estimation (SAE), serves as an alternative method to address the challenges posed by limited sample sizes or small sample when direct estimation techniques are ... -
Enhancing Multivariate Linear Mixed Model with Two-Level Random Effects for Longitudinal Data and Its Application to PISA and National Examination Scores
Santi, Vera Maya | Notodiputro, Khairil Anwar | Indahwati | Sartono, Bagus (2024)Increasing the breadth to involve multivariate responses in cross-sectional data analysis becomes essential when examining interconnected and multidimensional phenomena. Including multivariate responses enables researchers ... -
Reduksi Bias Firth dalam Model Campuran Logistik berbasis Metode Pendugaan Kuasi- Kemungkinan Terpenalti untuk Analisis Data Penampang Melintang Berulang
Arisanti, Restu | Sumertajaya, I Made | Notodiputro, Khairil Anwar | Indahwati (2022)Kasus khusus pada Model Campuran Linear Terampat (MCLT) yang mempunyai peubah respon dikotomus yang melibatkan pengaruh tetap dan pengaruh acak disebut dengan Model Campuran Linear Logistik (MCLL). Pada MCLL, sangat ... -
A robust approach for joint models based on t distribution
Indahwati | Aunuddin | Notodiputro, Khairil Anwar | Putu Purnaba, I Gusti (2012)Existing methods for joint modeling are usually based on normality assumption of random effects and intra-subject errors. We propose a joint model based on t distribution of the intra subject errors to improve robustness ...
