Aims: Statistics is one of the most important fields. It carries out observation, collection, analysis and interpretation of collected data with necessary techniques and tools for analysis. There are many parameters which help in analyzing the data. Amongst them, Karl Pearson’s C...
Open access
Research Article10.9734/ajpas/2023/v23i1495
Aims: This study aims at determining the classification results using the Bayesian Additive Regression Trees (BART) method on bank credit collectability data, where there is a class imbalance in the data. Study Design: Quantitative Design. Place and Duration of Study: The used da...
Open access
Research Article10.9734/ajpas/2023/v23i1494
This work aims at making a choice of selecting the best property of central composite design (CCD). The three basic properties of CCD are rotatable, orthogonal and slope-rotatable with four optimality criteria; D, E, A and T. A complete 23 factorial experiment with increase in ce...
Open access
Research Article10.9734/ajpas/2023/v23i1493
This study was conducted to identify the various maternal and neonatal factors that influence birth outcomes. Maternal and neonatal factors are key determinants of birth outcomes and the health of a newborn baby is very crucial in the first six months of the baby’s life. Neonatal...
Open access
Research Article10.9734/ajpas/2023/v22i4491
In this paper, statistical methods are adopted to analyze its role in data processing and prediction, emphasizing three statistical models of time series model, neural network model based on genetic algorithm and K-means algorithm, systematically introducing how to classify and p...
Open access
Research Article10.9734/ajpas/2023/v22i4492
Aims: Based on the income data of urban and rural residents in China from 1998 to 2021, the income gap variables of urban and rural residents were constructed, and the combination prediction method was used to predict the income gap between urban and rural residents in China. Met...
Open access
Research Article10.9734/ajpas/2023/v22i4490
In this article, some non-bayesian estimation procedures of the Exponentiated Power Lindley-Logarithmic Distribution for modeling real life data are considered. A simulation study is carried out to determine the best among others using the root meas squared error values. Real lif...
Open access
Research Article10.9734/ajpas/2023/v22i4489
This study implemented Panel Vector Autoregression (PVAR) Model to examine short-run dynamic relationships between inflation rate, population and unemployment rate as function of Gross Domestic Product (GDP) for Economic Community of West Africa States (ECOWAS) counties. To achie...
Open access
Research Article10.9734/ajpas/2023/v22i4488
In this paper, Zero-truncated negative binomial distribution is modified to include excess ones to improve goodness-of-fit. This is necessary when data are dispersed and zero has been eliminated from data structurally. However, when the ones are unduly large, the proportion of th...
Open access
Research Article10.9734/ajpas/2023/v22i3487
By utilizing the ideas of fuzzy-weighted entropy and fuzzy-weighted directed divergence and appropriately selecting the weights, several new measures of fuzzy cross-entropy have been generated. Concurrently, some new measures of fuzzy weighted entropy have been suggested based on...
Open access
Research Article10.9734/ajpas/2023/v22i3486