Category: Statistics Project Topics & Materials

Mathematical Modeling of Predator-Prey models: Lotka-Volterra SystemsMathematical Modeling of Predator-Prey models: Lotka-Volterra Systems

Mathematical Modeling of Predator-Prey models: Lotka-Volterra Systems The time dependent non-linear reaction-diffusion equation in predator–prey models in Lotka- Volterra system has been formulated and solved analytically and numerically. Analytical expressions for the prey and predator populations are derived by using the HPM. The primary result of this work is simple approximate calculations of prey and […]

Lotka-volterra predator-pey equations modelLotka-volterra predator-pey equations model

Lotka-volterra predator-pey equations model Mathematical modeling will always be an important field of mathematics because of its applications to the real world. While no model is perfet, if a close enough approximation can be obtained, then scientists can see how certain factors will affect a situation by merely working out equations on a piece of […]

A PANEL DATA APPROACH TO EXCHANGE VOLATILITY MODELS OF WEST AFRICAA PANEL DATA APPROACH TO EXCHANGE VOLATILITY MODELS OF WEST AFRICA

CHAPTER ONE  INTRODUCTION/ Background of the Study “Does finance make a difference . . .?” Raymond Goldsmith (1969, p. 408). “Do economies with higher levels of financial development experience more or less volatility in economic growth rate?” Thorsten Beck, Mattias Lundberg and Giovanni Majnoni (2000) The impact of financial development on output volatility has been […]

MODELING AND FORECASTING OF ELECTRICITY CONSUMPTION USING ARMA AND EXPONENTIAL SMOOTHINGMODELING AND FORECASTING OF ELECTRICITY CONSUMPTION USING ARMA AND EXPONENTIAL SMOOTHING

MODELING AND FORECASTING OF ELECTRICITY CONSUMPTION USING ARMA AND EXPONENTIAL SMOOTHING ABSTRACT The various available literature on modeling electricity consumption use time series models such as Autoregressive Moving Average (ARMA), Autoregressive Integrated Moving Average (ARIMA), Vector Auto-regression (VAR) and so on. In this research, Autoregressive Moving Average (ARMA)and Exponential Smoothing processes are used to fit […]

MODELLING MEAN SURFACE TEMPERATURE OF NIGERIA USING GEOSTATISTICAL APPROACHMODELLING MEAN SURFACE TEMPERATURE OF NIGERIA USING GEOSTATISTICAL APPROACH

MODELLING MEAN SURFACE TEMPERATURE OF NIGERIA USING GEOSTATISTICAL APPROACH ABSTRACT Understanding spatial variability of mean surface temperature (MST) of Nigeria is necessary for ecological restoration and national planning toward effects of unstable climate conditions. This study developed models for MST derived from two geosta- tistical procedures and Multiple Linear Regression (MLR) using measurements of monthly […]

A STUDY OF NIGERIAN BALANCE OF TRADE: CO-INTEGRATED VAR MODEL APPROACHA STUDY OF NIGERIAN BALANCE OF TRADE: CO-INTEGRATED VAR MODEL APPROACH

A STUDY OF NIGERIAN BALANCE OF TRADE: CO-INTEGRATED VAR MODEL APPROACH ABSTRACT   The impactof exchange rate, money supply, Gross Domestic Product and Foreign Direct Investimenton trade balance has been at the center of literature debate over time with varying empirical evidences for different countries.This researchis an empirical investigation of the impact of exchange rate […]

ANALYSIS OF SINGLE AND MULTI-TELLER MODELS OR USING SIMULATION FOR REDUCING WAITING TIME A CASE STUDY OF FIRST BANK AND ECO BANK, NIG. LTDANALYSIS OF SINGLE AND MULTI-TELLER MODELS OR USING SIMULATION FOR REDUCING WAITING TIME A CASE STUDY OF FIRST BANK AND ECO BANK, NIG. LTD

ANALYSIS OF SINGLE AND MULTI-TELLER MODELS OR USING SIMULATION FOR REDUCING WAITING TIME A CASE STUDY OF FIRST BANK AND ECO BANK, NIG. LTD     Queue causes customer dissatisfaction and defection, low service level and abandonment, decreased contact center efficiency, Increased Telecom costs, employee dissatisfaction, (Virtual Hold Technology (VHT), 2013), a satisfied customer becomes […]

TIME SERIES ANALYSIS ON MONTHLY CONSUMPTION OF WATER SUPPLYTIME SERIES ANALYSIS ON MONTHLY CONSUMPTION OF WATER SUPPLY

ABSTRACT This project work is basically on the application of time series analysis on the monthly consumption of water and to examine the factors underlying the consumption rate of water. Statistical analysis on monthly consumption of water support can only be know if there is only one source water supply and it is observed that […]

Robust Detection Of Multiple Outliers In A Multivariate Data SetRobust Detection Of Multiple Outliers In A Multivariate Data Set

ABSTRACT Many methods have been developed for detecting multiple outliers in a single multivariate sample, but very few for the case where there may be groups in the data set. We propose a method of simultaneously determining groups (as in cluster analysis) and detecting outliers, which are points that are distant from every group. Our […]