Department of Statistics: Recent submissions

Now showing items 81-100 of 103

Joint modeling of a survival and a count response

Sunethra, A. A.; Sooriyarachchi, M.R. (2015)

Survival and incidence are two common response variables in medical data. Thus, statistical models with responses of survival and incidence (count) are common in medical data analysis, though these two responses have not ...
A Simulation Study of the Properties of the F-test for Type III Fixed Effects in Binary Generalized Linear Mixed Models (GLMMs)

Sunethra, A. A.; Sooriyarachchi, M.R. (2014)

The presence of clusters within data is often encountered in medicine, biology and social sciences. With such data, the observations in the data cannot be regarded as independent since the observations within a cluster might ...
Variance Corrected Proportional Hazard Model for the Analysis of Recurrent Multiple Failure Modes

Amarasinghe, N. S.; Sunethra, A. A.; Sooriyarachchi, M.R. (2013 Penerbit UTM Press, 2013)

Automobiles do fail repetitively owing to different types of failures. Modeling of such products should concern dissimilar recurrent failure types. Failure types are habitually correlated to each other. This study has ...
Estimating Reliability and predicting warranty of an electronic device with multiple failure modes.

Sunethra, A. A.; Sooriyarachchi, M.R. (2013)

This research considers electronic devices which are prone to fail after some period of time. Electronic devices usually can have more than one cause of failure. In practice, it is important to differentiate between these ...
Using Generalized Linear Mixed Models for Jointly Modeling Multivariate Longitudinal Data and Discrete Time-To-Event Data: Application to Primary Biliary Cirrhosis Data

Sunethra, A. A.; Sooriyarachchi, M.R. (2014)

In medical studies, patients are often followed up over time and their disease related biomarkers are measured repeatedly. Together with these multiple longitudinal biomarkers, the survival status (time to death) of such ...
Using robust variance estimation in mixed models: a review

Sunethra, A. A.; Sooriyarachchi, M.R. (2015)

Presence of Clusters/ sub-groups within datasets is a common phenomenon in statistical data analysis. Examples include repeated measures data, longitudinal data, hierarchical data, and etc. The shared feature in such ...
Sandwich Variance Estimation for random effect misspecification in Generalized Linear Mixed Models

Sunethra, A. A.; Sooriyarachchi, M.R. (GSTF, 2016)

The literature clearly demonstrated how the random effect miss-specification in Generalized Linear Mixed Models (GLMMs) affect the model performance with respect to the Type II Errors of the Type III F-test. The method of ...
Joint Modeling of Mortality Incidence and Survival

Sunethra, A. A.; Sooriyarachchi, M.R. (2016)

Analysis of medical data mostly consider survival and mortality count as response variables in identifying factors that are associated with the survival times and with the death count of patients. However, it is quite ...
A novel approach for jointly modeling survival times and recurrent episodes of disease progression

Sunethra, A. A.; Sooriyarachchi, M.R. (2016)

Accurate modelling of the effect of endogeneous time-varying covariates on the relative Recurrent episodes of disease progression (tumors, seizures etc) have an impact on their survival times, which requires analysis of ...
Analyzing the Reliability of a Personal Computer System using Fault Tree Analysis

Rajapaksha, A.; Sunethra, A. A.; Sooriyarachchi, M.R. (2015)

A system can be defined as a set of components interconnected to perform a given task. Such a system has a high possibility of failure compared to a single component, since it is a combination of different components ...
A Study on Selecting the Best Batsmen for the Next One-Day International Cricket Match: In Sri Lankan Context

Perera, M. S.; Attygalle, D. T.; Sunethra, A. A. (2014)

In Sri Lanka, cricket is the most popular game and has become an integral part of the culture. Various factors come into play while selecting a team. A human selection committee invariably suffers from the shortcomings ...
Modeling Monthly Coconut Prices in Sri Lanka using Non-Linear Time Series Models

Priyadarshani, G. A. C. N.; Tilakaratne, C. D.; Sunethra, A. A.; Oshani, D. K. (2014)

Coconut is a perennial crop which significantly contributes to the Sri Lankan economy. It is the third largest foreign exchange earner for the country. Recently Sri Lanka faced high reduction in coconut yield. Coconut ...
A Neural Network Approach For The Directional Prediction Of A Stock Market: An Application To The Australian All Ordinary Index

Tilakaratne, C. D. (2008)

This study investigates the capability of neural network-based approaches for predicting the direction (up or down) of a stock market. The Australian Stock market index (AORD) was selected as the target market. It includes ...
Generating Small Area Statistics for Household Income in Southern Province of Sri Lanka

Jayasekera, Anoma S.; Wickremasinghe, W.N. (2003)

Human development is a central objective of economic activity and forms the main purpose of social investment in any country. The Human Development Index (HDI) defined by the UNDP 1 is based on three dimensions: namely, ...
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets

Tilakaratne, Chandima D.; Mammadov, Musa A.; Morris, Sidney A. (2007)

This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market. Australian All Ordinary Index was ...
Log-linear models for ordinal multidimensional categorical data

Kuruppumullage, Prabhani; Sooriyarachchi, M.R. (2007)

This study emphasised on methods for analysis of categorical data having ordered categories for the multidimensional case and the paper discusses some of the specialized models which efficiently use the information on ...
Guidelines for calculating sample size in 2x2 crossover trials : a simulation study

Siyasinghe, N.M.; Sooriyarachchi, M.R. (2011)

In crossover trials, patients receive two or more treatments in a random order in different periods. The sample size determination is often an important step in planning a crossover study. This paper concerns sample ...
Diagnostics for matched case control studies : SAS macro for Proc Logistic

Viswakula, S.D.; Sooriyarachchi, M.R. (2011)

Conditional logistic regression models have been extensively used in the field of medicine and mainly applied in matched case control studies. However, none of the major statistical packages, i.e. SAS, MINITAB, SPSS ...
Use of Schoenfeld’s global test to test the proportional hazards assumption in the Cox proportional hazards model: an application to a clinical study

Abeysekera, W.W.M.; Sooriyarachchi, M.R. (2009)

Cox proportional hazards (PH) model is one of the finest techniques in identifying combined effects of several covariates on the relative risk (hazard). This model assumes that the hazards of the different strata formed ...
Exact critical points for testing subhypotheses in nonreplicated three-way experiments

Bandara, E.R.A.D.; Wickremasinghe, W.N. (2008)

In the absence of replication, conventional analyses do not provide ways to examine three-way interaction in threeway experiments. Tucker3 analysis based on alternating least squares algorithm is a general approach that ...

Now showing items 81-100 of 103

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