Geographically weighted count modelingtechniques applied to dengue data analysis
碩士 === 淡江大學 === 統計學系應用統計學碩士班 === 106 === In recent years, the Dengue fever continued to spread all over the world. In 2015, the cases of Dengue fever exceeded 40,000. Most researchers focused the research in Tainan, Kaohsiung and Pingtung, where the epidemic is more serious, the rarely discussed the...
Main Authors: | Hsin-Yu Chu, 屈欣諭 |
---|---|
Other Authors: | 陳怡如 |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/8nqh7s |
Similar Items
-
A finite element material modelingtechnique for the hysteretic behaviour of reinforced rubber
by: Lind, Petter
Published: (2017) -
A Geographically Weighted Poisson Regression Analysis of Township-Level Dengue Fever Data in Taiwan
by: Yi An Wang, et al.
Published: (2016) -
Analysis of Dengue Risk Characteristics using Geographically Weighted Quantile Regression
by: Yen-Chen Lin, et al.
Published: (2018) -
SAS IML Software for Computing GeographicallyWeighted Generalized Linear Models
by: Chin-Hsin Liu, et al.
Published: (2012) -
Geographically Weighted Logistic Regression Applied to Credit Scoring Models
by: Pedro Henrique Melo Albuquerque, et al.