Muminu O. Adamu
University of Lagos
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Muminu O. Adamu.
Data in Brief | 2018
Hilary I. Okagbue; Aderemi A. Atayero; Muminu O. Adamu; A. A. Opanuga; Pelumi E. Oguntunde; S.A. Bishop
This data article contains the statistical analysis of the total, percentage and distribution of editorial board composition of 111 Hindawi journals indexed in Emerging Sources Citation Index (ESCI) across the continents. The reliability of the data was shown using correlation, goodness-of-fit test, analysis of variance and statistical variability tests.
Data in Brief | 2017
Hilary I. Okagbue; Muminu O. Adamu; Pelumi E. Oguntunde; A. A. Opanuga; Manoj Kumar Rastogi
United Kingdom Lotto results are obtained from urn containing some numbers of which six winning numbers and one bonus are drawn at each draw event. There is always a need from prospective players for analysis that can aid them in increasing their chances of winning. In this paper, historical data of the United Kingdom Lotto results were grouped into two periods (19/11/1994–7/10/2015 and 10/10/2015–10/5/2017). The classification was as a result of increase of the lotto numbers from 49 to 59. Exploratory statistical and mathematical tools were used to obtain new patterns of winning numbers. The data can provide insights on the random nature and distribution of the winning numbers and help prospective players in increasing their chances of winning the lotto.
Data in Brief | 2017
Hilary I. Okagbue; A. A. Opanuga; Muminu O. Adamu; Paulinus O. Ugwoke; Emmanuela C.M. Obasi; Grace A. Eze
This data article contains the statistical analysis of Igbo personal names and a sample of randomly selected of such names. This was presented as the following: 1). A simple random sampling of some Igbo personal names and their respective gender associated with each name. 2). The distribution of the vowels, consonants and letters of alphabets of the personal names. 3). The distribution of name length. 4). The distribution of initial and terminal letters of Igbo personal names. The significance of the data was discussed.
Data in Brief | 2017
Hilary I. Okagbue; Muminu O. Adamu; Pelumi E. Oguntunde; A. A. Opanuga; E. A. Owoloko; S.A. Bishop
The data in this article was obtained from the algebraic and statistical analysis of the first 331 primitive Pythagorean triples. The ordered sample is a subset of the larger Pythagorean triples. A primitive Pythagorean triple consists of three integers a, b and c such that; [Formula: see text]. A primitive Pythagorean triple is one which the greatest common divisor (gcd), that is; [Formula: see text] or a, b and c are coprime, and pairwise coprime. The dataset describe the various algebraic and statistical manipulations of the integers a, b and c that constitute the primitive Pythagorean triples. The correlation between the integers at each analysis was included. The data analysis of the non-normal nature of the integers was also included in this article. The data is open to criticism, adaptation and detailed extended analysis.
Data in Brief | 2018
Hilary I. Okagbue; Aderemi A. Atayero; Muminu O. Adamu; Pelumi E. Oguntunde; A. A. Opanuga; S.A. Bishop
This article explores the editorial board composition (across the six continents) of Hindawi journals indexed in PubMed. The dataset used is the official affiliation of the board members available at the various webpages of Hindawi journal website and not the countries of origin of the editorial board members. Summary statistics were presented and the raw dataset was provided for further analysis by interested scholars. The percentage of the editorial board composition across the continents was presented, the dataset of Hindawi journals indexed in both Hindawi and Scopus were also presented and measured in terms of Citescore and percentiles. The dataset can be used in journal evaluation, auditing, bibliometric analysis, management of smart campus; ranking and the analysis can be extended to other journal indexations.
Data in Brief | 2018
Hilary I. Okagbue; Aderemi A. Atayero; Muminu O. Adamu; S.A. Bishop; Pelumi E. Oguntunde; A. A. Opanuga
The statistical analysis of editorial board composition, Citescore and percentile of 180 Hindawi journals currently indexed in Scopus are presented in this data article. The three indicators (editorial board composition, Citescore and percentile) can be helpful for researchers to make informed decision about the impact of Hindawi journals. The last two indicators are components of Scopus Citescore metrics.
Data in Brief | 2017
Hilary I. Okagbue; Muminu O. Adamu; Pelumi E. Oguntunde; A. A. Opanuga; A. A. Adebiyi; S.A. Bishop
The data in this article are as a result of a quest to uncover alternative research routes of deepening researchers’ understanding of integers apart from the traditional number theory approach. Hence, the article contains the statistical properties of the digits sum of the first 3000 squared positive integers. The data describes the various statistical tools applied to reveal different statistical and random nature of the digits sum of the first 3000 squared positive integers. Digits sum here implies the sum of all the digits that make up the individual integer.
Data in Brief | 2018
Patience I. Adamu; Muminu O. Adamu; Hilary I. Okagbue
Pregnancy related deaths (PRD) are public health concern in most developing countries and Nigeria in particular. Despite the efforts put in by the concerned authorities, PRD remains an integral part of maternal mortality or maternal deaths in Nigeria in general and Borno state in particular, as evidenced from the records obtained from Umaru Shehu Hospital, Maiduguri (a state hospital in the state capital. The data contains frequency of PRD in months and grouped into gynaecology, ante-natal and post-natal, and labour obtained from mid-2009 to mid - 2017. The statistical analysis of the data may reveal the extent of incidence or epidemiology of PRD is in the state.
Archive | 2019
Hilary I. Okagbue; Muminu O. Adamu; Patience I. Adamu; S.A. Bishop; Ezinne C. Erondu
In this chapter, homogenous ordinary differential equations (ODES) of different orders were obtained for the probability density function, quantile function, survival function inverse survival function, hazard function and reversed hazard functions of half-Cauchy and power Cauchy distributions. This is possible since the aforementioned probability functions are differentiable. Differentiation and modified product rule were used to obtain the required ordinary differential equations, whose solutions are the respective probability functions. The different conditions necessary for the existence of the ODEs were obtained and it is almost in consistent with the support that defined the various probability functions considered. The parameters that defined each distribution greatly affect the nature of the ODEs obtained. This method provides new ways of classifying and approximating other probability distributions apart from half-Cauchy and power Cauchy distributions considered in this chapter. In addition, the result of the quantile function can be compared with quantile approximation using the quantile mechanics.
Archive | 2019
Hilary I. Okagbue; Muminu O. Adamu; A. A. Opanuga; Jimevwo G. Oghonyon; Patience I. Adamu
In this chapter, homogenous ordinary differential equations (ODE) of different orders were obtained for the probability density function, quantile function, survival function inverse survival function, hazard function and reversed hazard functions of 3-parameter Weibull distribution. This is possible since the aforementioned probability functions are differentiable. Differentiation and modified product rule were used to obtain the required ordinary differential equations, whose solutions are the respective probability functions. 3-parameter Weibull distribution is an extension of the Weibull distribution with an extra parameter. The different conditions necessary for the existence of the ODEs were obtained and it is almost in consistent with the support that defined the various probability functions considered. The parameters that defined each distribution greatly affect the nature of the ODE obtained. This method provides new ways of classifying and approximating other probability distributions apart from 3-parameter Weibull distribution considered in this chapter.