New Test Statistics To Assess The Goodness-Of-Fit Of Logistic Regression Models

The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models (GLMs). It is used when the dependent variable is dichotomous and the independent variables are of any type. LRM are popular in many applications and in different disciplines including biomedical and...

Description complète

Détails bibliographiques
Auteur principal:	Hussain, Jassim Nassir
Format:	Thèse
Langue:	anglais
Publié:	2013
Sujets:	QA1 Mathematics (General)
Accès en ligne:	http://eprints.usm.my/43278/

Documents similaires

Goodness-Of-Fit Test For Standard Logistics Distribution With Outliers
par: Lim, Fong Peng
Publié: (2010)

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

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

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

A new statistic to the theory of correlation stability testing in financial market
par: Sharif, Shamshuritawati
Publié: (2013)

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

Goodness-of-fit tests for extreme value distributions
par: Zainal Abidin, Nahdiya
Publié: (2013)

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

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

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

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

Application of fuzzy statistics for estimation of parameters and hypothesis testing
par: Abd. Jalil, Nur Adilah
Publié: (2008)

Prediction Of Musculoskeletal Disorders Cases Associated With Work-Relatedness Of Semiconductor Workers Using Logistic Regression Model
par: Chai, Fong Ling
Publié: (2020)

New alternative statistic for testing several independent samples of correlation matrices in high dimension data
par: Atiany, Tareq A.M.
Publié: (2018)

Robust diagnostic and estimation for binary logistic regression model in the presence of multicollinearity and high leverage points
par: Ariffin @ Mat Zin, Syaiba Balqish
Publié: (2018)

The cramer-von mises test statistic of the generalized extreme value distribution and weibull distribution
par: Abdul Ghani, Nur Hamizah
Publié: (2014)

Modified logistic model for mortality rates in Malaysia
par: Ah Khaliludin, Nur Idayu
Publié: (2021)

Statistical approach on grading: mixture modeling
par: Md. Desa, Zairul Nor Deana
Publié: (2006)

Robust Diagnostics In Logistic Regression Model
par: Ariffin @ Mat Zin, Syaiba Balqish
Publié: (2010)

Multinomial logistic regression probability ratio-based feature vectors for Malay vowel recognition
par: Atanda, Abdulwahab Funsho
Publié: (2021)

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

Statistical Modelling For Forecasting Pm10 Concentrations In Peninsular Malaysia
par: Ng, Kar Yong
Publié: (2017)

Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts
par: Ng Peh, Sang
Publié: (2020)

Mining Students' Data with Holland Model Using Neural Network and Logistic Regression
par: Noorlin, Mohd. Ali
Publié: (2005)

Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition
par: Al Jawarneh, Abdullah Suleiman Saleh
Publié: (2021)

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

Polynomial and piecewise polynomial fitting in tight-binding model of carbon molecule
par: Haa, Wai Kang
Publié: (2021)

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

Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection
par: Ambark, Ali Saleh Al-Massri
Publié: (2024)

Applications Of Statistical Techniques In Quality Systems
par: Chee , Suat Kheng
Publié: (2006)

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

Statistical downscaling of projecting rainfall amount based on SVC-RVM model
par: Nurul Ainina Filza Sulaiman
Publié: (2022)

Automatic G1 Parametric Fitting Of Curves And Surfaces To Outlines Of Images
par: Yahya, Fatimah
Publié: (2009)

The development of a new prognostic logistic regression model: a case study on oral squamous cell carcinoma
par: Azeem, Muhammad
Publié: (2023)

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

Single-stage DNA splicing system via Yusof-Goode approach
par: Wen Li, Lim
Publié: (2015)

Fitting optimum order of Markov chain models for hourly rainfall occurrences in Johor, Damansara and Kelantan
par: Tan, Wei Lun
Publié: (2009)

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

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

Classification of electroencephalography signal using statistical features and regression classifier
par: Sabri, Nurbaity
Publié: (2014)