Statistics Research Papers/Topics

Determinants Of Child Health Among Internally Displaced Person In Taraba State, Nigeria

ABSTRACT In Nigeria, not many considerations have been taken into the health of vulnerable children at the Internally Displaced Persons Camp. Hence, the need for more research that will help in designing necessary intervention programme. This study examines the determinants of child health among internally displaced persons in Taraba State, using data from a well-structured questimmaire. Binary logistic regression model was ernployed in multivariate analysis. Findings revealed that women betw...

An Assessment Of Women's Autonomy By Fertility Behaviour In Northern Nigeria

ABSTRACT The study examined women's autonomy by fertility behaviour in northern Nigeria using Nigeria Demographic and Health Survey women recode dataset. Analyses were done at three levels, univariate level by means of frequency distribution, bivariate level by using Chi-square test and multivariate level by the use of multinomial logistic regression models. Findings revealed that 7.1 % of women enjoyed autonomy. In all, 63. 7% of women were working and there was a significance relationship ...

Modelling And Forecasting Estimation Exchange Rate Volatility In The Sudan

Abstract: The exchange rate is one of the macro-economic variables that have an impact on macroeconomic with its different sectors and the Exchange rate policy is one the most important policies that adopted by some countries to solve some of the economic problems. Therefore we must stand on timeline impact of the exchange rate in Sudan and build a predictive model for predicting exchange rates in Sudan. It requires finding suitable models to the nature of commercial time-series data. We mus...

Imputation Of Missing Values For Bilinear Time Series Models

Missing observations is a common occurrence in data collection. To solve this problem, researchers have developed missing value imputation techniques for some linear and nonlinear time series models with normal and stable innovations using estimating function criterion. This criterion does not take into consideration the distribution of the innovation sequence of the time series model. Therefore the aim of this study was to develop explicit optimal linear estimators of missing values for seve...

Geoadditive Bayesian Model For Data With Limited Spatial Information

Abstract Large area estimation has been mostly accomplished using Geoadditive Models (GM) which combines the ideas of Geostatistics and additive models. The GM relaxes the classical assumptions of traditional parametric model by simultaneously incorporating linear and nonlinear, nonparametric effects of covariates, nonlinear interactions and spatial effects into a Geoadditive predictor. In the past, estimation of GM has been based on large area as a result of insufficient information in sma...

Bayesian Predictive Analyses For An Exponential Nonhomogeneous Poisson Process In Software Reliability

ABSTRACT Software reliability is defined as the probability of failure free operation of a software in a specified environment during a specified period. Software reliability has been the focus of several researches over the last four decades. One of the earliest software reliability models is the exponential nonhomogeneous Poisson process developed by Goel and Okumoto in 1979. Most research works have considered fitting different software reliability models to different software reliability...

Determination Of An Efficient Sampling Design For Rare And Clustered Population Using Design Based Estimators

ABSTRACT A sampling design that provides estimates of population mean and abundance with small variance is important to researchers. Estimates that are accurate even with minimal sampling efforts allow researchers to easily and confidently investigate rare populations. In the determination of efficient sampling design for rare and clustered population, mean square errors have been applied in many previous research works. However, this method only captures the variability of the estimator and...

Testing For Homogeneity Of Proportions Using New Mcdonald Generalized Beta-Binomial Distribution

ABSTRACT Testing for homogeneity of proportions in handling over-dispersion is employed in toxicology, teratology, consumers purchasing behavior, alcohol drinking behavior, in studies of dental caries in children and other similar fields. An important inference problem of interest is to compare proportions of certain characteristic in several groups. However, these proportions often exhibit variation greater than predicted by a simple binomial model. In real world applications, the binomial ...

Bayesian Predictive Analyses For Non-Homogeneous Poisson Process In Software Reliability With Musa-Okumoto Intensity Function

ABSTRACT Due to rapid increase in development of complex computer systems over the past decades, there is need to estimate and predict the reliability of software systems during the testing process. Reliability refers to how well software meets its requirements and the probability of failure free operation for the specified period of time in a specified environment. The high demand and use of software has led to increased quest for more reliable software. For the past few decades several soft...

Interval Estimation For The Beta-Binomial Dispersion Parameter

ABSTRACT The dispersion parameter in proportions occurring in toxicology, biology, clinical medicine and epidemiology is important in making inference regarding the regression parameters on the mean. Most data in form of proportions often exhibit excess variation (extra-dispersion). This can arise when the data is from different sub-populations (clusters) or when the assumption of independence is violated. The Beta-Binomial distribution has been applied to model over-dispersion in binary res...

Models For Sequentially Selecting Between Two And Three Experiments For Optimal Estimation Of Prevalence Rate With Imperfect Tests

ABSTRACT The idea of pool testing originated from Dorfman during the World War II as an economical method of testing blood samples of army inductees in order to detect the presence of infection. Dorfman proposed that rather than testing each blood sample individually, portions of each of the samples can be pooled and the pooled sample tested first. If the pooled sample is free of infection, all inductees in the pooled sample are passed with no further tests otherwise the remaining portions o...

Estimation Of Parameters Of The Mcdonald Generalized Beta - Binomial Distribution Using Estimating Functions

ABSTRACT Recently, there has been a considerable attention on modeling overdispersed binomial data that occur in toxicology, biology, clinical medicine, epidemiology and other related fields using a class of Binomial mixture distribution. Specifically, Beta-Binomial (BB) and KumaraswamyBinomial distribution (KB) in this class have been extensively used to model the overdispersed Binomial outcomes. A new three parameter binomial mixture distribution namely, McDonald Generalized Beta-Binomial ...

Efficiency Evaluation In Modelling Stock Data Using Arch And Bilinear Models

ABSTRACT Modelling of stock market data has witnessed a significant increase in literature over the past two decades. Focus has been mainly on the use of the ARCH model with its various extensions due to its ability to capture heteroscedasticity prevalent in the financial and monetary variables. However, other suitable models like the bilinear models have not been exploited to model stock market data so as to determine the most efficient model between the ARCH and bilinear models. The underl...


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