Jumoke Popoola

Jumoke Popoola
  • Doctor of Philosophy
  • Lecturer at University of Ilorin

Teaching & Research

About

19
Publications
2,421
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82
Citations
Current institution
University of Ilorin
Current position
  • Lecturer

Publications

Publications (19)
Article
Full-text available
This paper proposed a three parameter Maxwell-Gompertz distribution as an extension of Gompertz distribution. Some statistical properties of the distribution such as moments, survival and hazard functions, quantile function, Rényi entropy and order statistics were derived. Maximum likelihood method was used to estimate the model parameters. A simul...
Article
Full-text available
Probability distributions are essential in data modeling. Introduction of parameter(s) into existing probability distributions is a method of extending or generalizing distributions to produce more flexible distributions and for better fit to data. The Pareto type 1 distribution (PT1) is a right skewed continuous distribution originally used in des...
Article
Full-text available
It is a common practice in statistical analysis to draw conclusions based on significance. P-values often reflect the probability of incorrectly concluding that a null hypothesized model is true; they do not provide information about other types of error that are also important for interpreting statistical results. Standard model selection criteria...
Article
Full-text available
It is a common practice in statistical analysis to draw conclusions based on significance. P-values often reflect the probability of incorrectly concluding that a null hypothesized model is true; they do not provide information about other types of error that are also important for interpreting statistical results. Standard model selection criteria...
Article
Full-text available
Infant-formula is recommended by the World Health Organisation as the safest form of complementary food to human breast milk. Breastfeeding duration and other imperative input-factors that govern quantity of infant-formula demanded (a modulus variable) is difficult to model and predict with high precision. However, infants based on their convention...
Article
Business organizations that deal with consumable and perishable items have consistently incurred enormous loss as a result of the nature of their goods. The losses have direct negative impact on revenues. Unplanned and lack of precise production prediction models are responsible for this. An appropriate prediction model, developed to guide producti...
Article
Full-text available
In Internet stream monitoring, computing the expected parameters and distributions for the stream process under self-similarity and long-range dependency requires appropriate and exact methods queueing analyses to obtain performance of the Internet. Our method avoids fitting a non-heavy tailed distribution to Internet stream data by specifically fi...
Chapter
The Artificial Neural Network Autoregressive model (ANN-AR) is a recently adopted approach for forecasting Naira to the USD exchange rate. The Bayesian Regularized Neural Network (BRNN) is an alternative to ANN-AR based on the probabilistic interpretation of network weights. It is useful for solving overfitting problems inherent in ANN when large h...
Article
In this paper, we are interested in comparing the conventional t –test with the proposed t – test for testing equality of means with unequal and equal variances. Here, we proposed harmonic mean of variances as an alternative to the pooled sample variance when there is heterogeneity of variances. Two sets of secondary data were obtained from Agricul...
Article
Assessments of 30 sweet potato farms in three districts of Kwara State of Nigeria were carried out to evaluate the incidence of sweet potato virus disease (SPVD). A serological study by Antigen-coated plate enzyme-linked immunosorbent assay (ACP-ELISA) was set up to assay six viruses on sweet potato samples. A field experiment to appraise the influ...
Article
Full-text available
Internet traffic data such as the number of transmitted packets and time spent on the transmission of Internet protocols (IPs) have been shown to exhibit long memory property, often referred to as self-similarity. Simulating this type of dataset is an important aspect of delay avoidance planning, especially when trying to mimic real-life processing...
Article
Full-text available
Tomato (Lycopersicon esculentum Mill) is one of the major fruit vegetables in Nigeria and viruses cause significant losses in both field and greenhouse tomato production systems. The study was conducted in Kwara State of Nigeria to determine the incidence of virus diseases on tomato and detect the suspected viruses with serological assay. A field e...
Article
Full-text available
It is widely known that the standard Markov process does not allow batch arrivals or batch transmission, which is prominent in the TCP/IP Internet network design. Another drawback of the standard Poisson/exponential processes is the stringent memoryless assumption which does not permit correlated events. When these assumptions are relaxed, they are...

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