Count data analysis using poisson regression and handling of overdispersion

Count data is very common in various fields such as in biomedical science, public health and marketing. Poisson regression is widely used to analyze count data. It is also appropriate for analyzing rate data. Poisson regression is a part of class of models in generalized linear models (GLM). It uses...

书目详细资料
主要作者:	Zainordin, Raihana
格式:	Thesis
语言:	英语
出版:	2009
主题:	QA Mathematics
在线阅读:	http://eprints.utm.my/12417/6/RaihanaZainordinMFS2009.pdf

相似书籍

Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero
由: Ademola Abiodun, Adetunji
出版: (2024)

Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture
由: ., Mukhtar
出版: (2023)

Methods of handling missing data with reference to rainfall in Peninsular Malaysia
由: Ho, Ming Kang
出版: (2014)

Handling arch effects in wind speed data using state space approach model
由: Jamaludin, Aaishah Radziah
出版: (2017)

Regression models for censored and truncated count data with excess zeros
由: Saffari, Seyed Ehsan
出版: (2012)

Root counting in product homotopy method
由: Hazrina Tajudin
出版: (2013)

New Parallel Group Accelerated Overrelaxation Algorithms For The Solution Of 2-D Poisson And Diffusion Equations
由: Foo, Kai Pin
出版: (2011)

Combined forecast model involving wavelet-group methods of data handling for drought forecasting
由: Mohammed Salisu, Alfa
出版: (2021)

Logistic regression methods for classification of imbalanced data sets
由: Santi Puteri Rahayu, -
出版: (2012)

Linear regression for data having multicollinearity, heteroscedasticity and outliers
由: Rasheed, Bello AbdulKadiri
出版: (2017)

Comparing three methods of handling multicollinearity using simulation approach
由: Adnan, Norliza
出版: (2006)

Modification Of Regression Models To Solve Heterogeneity Problem Using Seaweed Drying Data
由: Joshua, Ibidoja Olayemi
出版: (2023)

Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
由: Tian, Ying
出版: (2024)

Redefining histograms of oriented gradients descriptors for handling occlusion in people detection
由: Sani, Ahmad
出版: (2014)

Mathematics graduates perceptions on suitability of employment using logistic regression
由: Jamri, Heirnizah Melati
出版: (2014)

Statistical downscaling using regression-based technique in Peninsular Malaysia
由: Kho, Pui Kim
出版: (2020)

Proposed Control Charts For Monitoring Cumulative Counts Of Conforming Items And Ratio Of Two Variables
由: Salihu, Abubakar Sani
出版: (2021)

Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
由: Tan, Kai Zhe
出版: (2021)

On the use of fuzzy C-regression truncated models for health indicator in intensive care unit
由: Rusiman, Mohd. Saifullah
出版: (2012)

New Quarter-Sweep-Based Accelerated Over-Relaxation Iterative Algorithms and their Parallel Implementations in Solving the 2D Poisson Equation
由: Rakhimov, Shukhrat
出版: (2010)

Implementation of requirements engineering method on handling patient data
由: Nasaruddin @ Ismail Shah, Zurain
出版: (2018)

Identifying multiple outliers in linear regression using robust fit, clustering and inter-outer fences
由: Adnan, Robiah
出版: (2001)

Classification and regression tree in classifying and predicting students' academic performance
由: Ho, Su Juih
出版: (2013)

Multiple linear regression and neural network for electric load forecasting
由: Kamisan, Nur Arina Bazilah
出版: (2017)

Central double cross-validation for estimating parameters in regression models
由: Chye, Rou Shi
出版: (2016)

Winsorize tree algorithm for handling outliers in classification problem
由: Ch’ng, Chee Keong
出版: (2016)

Perceived knowledge and practice in personal data handling
由: Ahmad, Nurul ‘Ain
出版: (2020)

A new split distance-based regression model for mixed-variables
由: Nor Hisham, Haron
出版: (2021)

New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
由: Al-Mash, Mohammad Sabry Abo
出版: (2017)

Nonparametric conditional mean cumulative functions for comparison of random-interval counting processes with applications to panel count data analysis in medical study
由: Tan, Pei Ling
出版: (2018)

Combined empirical mode decomposition and dynamic regression model for forecasting electricity load demand
由: Akrom, Nuramirah
出版: (2015)

Embedded feature selection methods with high dimensionality for elastic net and logistic regression models
由: Alharthi, Aiedh Mrisi
出版: (2022)

Robust Wavelet Regression With Automatic Boundary Correction
由: Mohamed Altaher, Alsaidi Almahdi
出版: (2012)

Application of EM algorithm on missing categorical data analysis
由: Hasan, Noraini
出版: (2009)

The enhanced group method of data handling models for time series forecasting
由: Samsudin, Ruhaidah
出版: (2012)

Multifunctional optimized group method data handling for software effort estimation
由: Arbain, Siti Hajar
出版: (2022)

Pembangunan model regresi poisson sifar-melambung berintegrasi dalam biostatistik
由: Zafakali, Nur Syabiha
出版: (2018)

Binary logistic regression modelling with appropriate sample size in determining graduate employability factors for public universities in Malaysia
由: Tengku Mohamed, Tengku Salbiah
出版: (2020)

Cluster-Based Estimators For Multiple And Multivariate Linear Regression Models
由: Alih, Ekele
出版: (2015)

Homogeneity tests and trend analysis for rainfall data in the southern region of Peninsular Malaysia
由: Mohammad Zamri, Aiman Syazwan
出版: (2019)