• A MONTE CARLO STUDY OF ALKHAMISI RIDGE ESTIMATOR 

  AKINTOLA, OLUSESAN TOLULOPE (2021-09)

  In classical linear regression model, the existence of high correlations between two or more exogenous variables results to multicollinearity problem. This problem influences the ordinary least squares (OLS) estimator ...
• SOLVING HETEROSCEDASTICITY WITH MODIFIED BAYESIAN ADDITIVE REGRESSION TREES 

  ADULOJU, OLUWATOBI MICHAEL (Fed. Univ. of Tech. Akure., 2021-03)

  Heteroscedasticity is often neglected during the analysis of high dimensional data but can pose a problem when using modern regression methods such as Bayesian Additive Regression Trees (BART), Random Forest, and Neural ...
• SPATIAL ANALYSIS OF WOMEN’S EMPOWERMENT IN NIGERIA: AN ORDINAL REGRESSION APPROACH 

  ADEYEMI, ESTHER IBUKUN (Fed. Univ. of Tech. Akure., 2022-12)

  There is a fast rising acknowledgement that women’s empowerment is essential to realising development goals, which would support economic growth, improvement in maternal and child health in interrelated development goals ...
• SENSITIVITY ANALYSIS OF PRIOR DISTRIBUTION ON BAYESIAN LINEAR REGRESSION MODEL 

  ADEREKUN, ADENIKE RACHEL (Federal University of Technology, Akure., 2021-08)

  This research work focused on Bayesian Linear Regression using sensitivity analysis of prior distribution. A sensitivity analysis allows to examine the final model results, based on the original prior, in relation to ...
• DEVELOPMENT OF MULTIVARIATE CONTROL CHARTS FOR MONITORING HIGH-DIMENSIONAL PROCESSES. 

  OMOLOFE, OLUSOLA TEMITOPE (Fed University of Technology Akure, 2022-01)

  Multivariate control charts are generally used in industries for monitoring and diagnosing processes characterized by several process variables. In practice, many processes are characterized with enormous data that are ...
• DEVELOPMENT OF DOUBLE EXPONENTIAL-X FAMILY OF DISTRIBUTIONS 

  AFOLABI, HABEEB ABIODUN (Fed University of Technology Akure., 2021-11)

  The development of a new class of distributions has attracted the attention of both applied and theoretical statisticians in recent times due to flexibilities in their statistical properties. In this study, a new family ...
• BAYESIAN SPATIAL JOINT MODELING OF ZERO-INFLATED COUNT DATA WITH APPLICATION TO ANTENATAL CARE UTILIZATION IN NIGERIA 

  ADEDEWE, BISOLA IYANU (Fed University of Technology Akure, 2021-12)

  Antenatal care (ANC) utilization is lower in most developing countries despite policy innovations brought about by the Millennium Development Goals and the Sustainable Development Goals, aimed at improving access globally. ...
• EXPONENTIATED GENERALIZED EXPONENTIATED LOMAX DISTRIBUTION 

  ADEYEMI-GIDADO, , SARAT AJIBOLA (Federal University of Technology, Akure., 2021-11)

  Studies on probability distribution functions and their properties are needful as they are very important in modeling random phenomena. However, research has shown that some real life data can be modeled more adequately ...
• ANALYSIS OF CRUDE OIL PRICE IN NIGERIA USING AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE (ARFIMA) APPROACH 

  EJEMAH, EMUMENA THOMAS (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-08)

  In this study, an autoregressive fractionally integrated moving average (ARFIMA) model of orders p, d and q were formulated for Nigeria’s crude oil price over a period of 10 years, spanning (from 15/06/2009 to 21/06/2019). ...
• A STUDY ON SOME WEIGHTED ORDINARY RIDGE PARAMETERS OF LINEAR REGRESSION MODEL 

  DARAMOLA, TOSIN MARY (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  The Ridge Regression Estimator (RRE) for handling multicollinearity problem in Linear Regression Model (LRM) requires the use of a biasing Parameter, k, which is either in form of Generalized or Ordinary Ridge Parameter. ...
• MULTI-CRITERIA DECISION ANALYSIS OF NIGERIA ELECTRICITY DISTRIBUTION COMPANIES USING ENTROPY WEIGHT AND TOPSIS METHOD. 

  AKPOBOME, PAULINA BOLA (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  Nigeria as a country on it own suffers from ineffectiveness and inefficiency in the man- agement of the distribution of electricity. This has negatively affected the country particularly in the last two decades. Nigeria ...
• DEVELOPMENT OF COMPLEMENTARY GENERALIZED TRANSMUTED POISSON LOMAX DISTRIBUTION AND IT’S APPLICATIONS 

  Taiwo, Segun Anuoluwapo (Federal University of Technology, Akure., 2021-09)

  A new four parameter lifetime distribution, which extends the Lomax distribution was introduced by compounding the Lomax distribution with the complementary generalized transmuted Poisson family of distributions. The ...
• UNIVARIATE COEFFICIENT OF VARIATION CONTROL CHARTS BASED ON RANKED SET SAMPLING SCHEMES IN PHASE I 

  OJO-LAWAL, SHERIFAT BOLANLE (Federal University of Technology, Akure., 2021-10)

  Control chart is a very important tool used in Statistical Process Control. Monitoring variability is a vital part of modern statistical process control. In a situation where the in-control process has a constant mean ...
• DEVELOPMENT OF GENERALIZED EXPONENTIATED CUBIC TRANSMUTED-G DISTRIBUTION FOR SURVIVAL STUDIES 

  OSEGHALE, OSEZUWA INNOCENT (Federal University of Technology, Akure, 2021-08)

  The development of new families of generalized distributions in recent decades have attracted the interest of both theoretical and applied statisticians due to their flexible and tractable statistical properties. In this ...
• DEVELOPMENT OF BAYESIAN SPATIAL MIXTURE MODELS FOR ANALYSIS OF CORRELATED OUTCOMES OF MATERNAL AND CHILD HEALTH 

  OLOPHA, , PAUL OMOH (Federal University of Technology, Akure, 2021-08)

  Joint modeling instead of seperate modeling of correlated health outcomes have become popular in recent times with the view to improving parameter estimates and investigating spill-over effects. However, there has not been ...
• HANDLING MULTICOLLINEARITY PROBLEM IN LINEAR REGRESSION MODEL: PARTITIONING AND EXTRACTION OF EXPLANATORY VARIABLES APPROACH 

  NWOSU, UGOCHINYERE IHUOMA (Federal University of Technology, Akure, 2021-08)

  Multicollinearity problem is associated with inter dependence of explanatory variables in linear regression model. The use of the Ordinary least Squares Estimator (OLSE) for the parameter estimation of the model produces ...
• A NEW EXPONENTIAL RATIO-TYPE ESTIMATOR FOR POPULATION MEAN IN DOUBLE SAMPLING 

  ABIFADE, , VICTOR OLUWATOBI (Federal University of Technology, Akure, 2020-01)

  This research proposed a new exponential ratio-type estimator in double sampling for population mean and the Mean Square Error (MSE) of the proposed estimator was derived. Efficiency comparisons were carried out to ...
• DETERMINANTS OF STOCK MARKET INDEX: QUANTILE REGRESSION APPROACH 

  ADEWALE, TITILAYO OLUFUNKE (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2018-09)

  Quantile regression is considered a methodological improvement and preferred to ordinary least squares regression (OLS) because it can depict a more detailed picture of the relationship between variables by estimating ...
• COMPARISON OF SOME RANKED SET SAMPLING ESTIMATORS 

  OLADAPO, OLUBUNMI OMONIYI (Federal University of Technology, Akure, 2017-04)

  The method of Ranked Set Sampling has been proved to be one of the efficient methods of sampling technique. This was suggested as an efficient method compared to the well-known Simple Random Sampling (SRS) method. However, ...
• MIXED MODEL APPROACH FOR ANALYSING SPATIAL DISTRIBUTIONS AND HIV/AIDS STIGMATIZATION IN NIGERIA 

  AJAMA, SINLA PERES (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE., 2018-09)

  Stigma is often attached to things people are afraid of. Ever since the first case of acquired immune deficiency syndrome (AIDS) in the early 1980’s, people living with Human immunodeficiency virus (HIV) have been stigmatized. ...

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