On the Exponentiated Generalized Inverse Exponential Distribution

This research explored the Exponentiated Generalized Inverse Exponential (EGIE) distribution to include more statistical properties and in particular, applications to real life data as compared with some other generalized models

Data analysis on physical and mechanical properties of cassava pellets

In this data article, laboratory experimental investigation results carried out at National Centre for Agricultural Mechanization(NCAM) on moisture content,machine speed,die diameter of the rig, and the outputs (hardness,durability,bulk density,and unit density of the pellets) at different levels of cassava pellets were observed. Analysis of variance using randomized complete block design with factorial was used to perform analysis for each of the outputs: hardness,durability,bulk density,and unit density of the pellets. A clear description one ach of these outputs was considered separately using tables and figures. It was observed that for all the output with the exception of unit density,their main factor effects as well as two and three ways interactions is significant at 5% level.This means that the hardness,bulk density and durability of cassava pellets respectively depend on the moisture content of the cassava dough,the machine speed,the die diameter of the extrusion rig and the combinations of these factors in pairs as well as the three altogether .Higher machine speeds produced more quality pellets at lower die diameters while lower machine speed is recommended for higher die diameter.Also the unit density depends on die diameter and the three-way interactiononly.Unit density of cassava pellets is neither affected by machine para- meters nor moisture content of the cassava dough.Moisture content of cassava dough,speed of the machine and die diameter of the extrusion rigare significant factors to be considered in pelletizing cassava to produce pellets.Increase in moisture content of cassava dough increase the quality of cassava pellets

The Weibull-Inverted Exponential Distribution: A Generalization of the Inverse Exponential Distribution

In this paper, the Inverse Exponential distribution was extended using the weibull generalized family of distributions. The probability density function (pdf) and cumulative density function (cdf) of the resulting model were defined and some of its statistical properties were studied. The method of maximum likelihood estimation was proposed in estimating the model parameters. The model was applied to a real life data set in order to assess its flexibility over its parent distribution

Drying kinetic of industrial cassava flour: Experimental data in view

In this data article,laboratory experimental investigation results on drying kinetic properties:the drying temperature(T), drying air velocity (V) and de watering time(Te),each of the factors has five levels, and the experiment was replicated three times and the output: drying rate and drying time obtained,were observed.The experiment was conducted at National Centre for Agricultural Mechanization (NCAM)for a period of eight months,in 2014. Analysis of variance was carried out using randomized complete block design with factorial experiment on each of the outputs:drying rate and drying times of the industrial cassava flour.A clear picture one ach of these out puts was provide deseparately using tables and figures. It was observed that all the main factors as well as two and three ways interactions are significant at5%level for both drying time and rate. This also implies that the rate of drying grated unfermented cassava mash, to produce industrial cassava flour,depend on the de watering time (the initial moisture content),temperature of drying,velocity of drying air as well as the combinations of these factorsal together.It was also discovered that all the levels of each of these factors are significantly difference from one another.In summary,the b time of drying is a function of the de watering time which was responsible for the initial moisture content. The higher the initial moisture content the longer the time of drying, and the lower the initial moisture content, the lower the time of drying.Also,the higher the temperature of drying the shorter the time of drying and vice versa.Also,the air velocity effect on the drying process was significant. As velocity increases, rate of drying also increases and vice versa.Finally,it can be deducedthatthedryingkineticsareinfluenced bythesepro- cessing factors

Modified Frechet distributions and their generalized families

The Frechet distribution is used for modeling extreme events. There are different approaches to developing statistical distributions which include  the use of translation methods, system of differential equations, quantile methods among others. Existing statistical distributions are also modified  or generalized to accommodate other different types of data and improve goodness of fit to data. Addition of extra parameter(s) is one approach  used for generalizing existing distributions such that the base distributions are embedded in the new generalized distributions. Some methods of  parameter induction were used to obtained families of generalized distributions. Parameter(s) were also introduced into the probability  distributions of the Frechet distribution to derive functions of its modified versions belonging to each of the generalized families derived. Further  study is recommended on some of the modified Frechet distributions and their generalized families

Budgetary Resource Allocation and Organizational Survival Strategies: A Revised Simplex Algorithm

Abstract: This paper, which is based on budgetary provisions in Ejigbo Local Government Area of the State of Osun for a period of three years spanning 2011 to 2013, considered allocation of limited resources on expenditure items from which it was discovered that capital expenditure should be given maximum attention during the preparation of budget. Having applied Revised Simplex Method (RSM) on the formulated Linear Programming Problem (LPP), the results revealed that less emphasis should be placed on recurrent expenditure as well as consolidated revenue fund charges with a view to ensuring optimal budgetary allocation by meeting the demands of the citizenry in the local government area considered

Breast cancer patients in Nigeria: Data exploration approach

Breast cancer is the type of cancer that develops from breast tissue; it is mostly common in women and it is one of the most studied diseases, largely because of its high mortality (second to lung cancer). However, it occurs in males also. This article presents a statistical study of the distribution of age, gender, length of stay, mode of diagnosis, status (dead or alive) after treatment and the location of breast cancer among 300 patients admitted in the University of Ilorin teaching hospital, Ilorin, Nigeria. The study covers a period of five (5) years; from 2011 to 2016 and logistic regression was used to perform the basic analysis in this study. It was discovered that the age of patients and the location of the breast cancer (right or left) contributes significantly to the survival of the patients. However, early detection and treatment of the disease is highly encouraged. This study also recommends that awareness should be taken to the grassroots and males should not be excluded from this discussion. Keywords: Breast cancer, Logistic regression, Mortality, Oncolog

Data analysis on physical and mechanical properties of cassava pellets

In this data article, laboratory experimental investigation results carried out at National Centre for Agricultural Mechanization (NCAM) on moisture content, machine speed, die diameter of the rig, and the outputs (hardness, durability, bulk density, and unit density of the pellets) at different levels of cassava pellets were observed. Analysis of variance using randomized complete block design with factorial was used to perform analysis for each of the outputs: hardness, durability, bulk density, and unit density of the pellets. A clear description on each of these outputs was considered separately using tables and figures. It was observed that for all the output with the exception of unit density, their main factor effects as well as two and three ways interactions is significant at 5% level. This means that the hardness, bulk density and durability of cassava pellets respectively depend on the moisture content of the cassava dough, the machine speed, the die diameter of the extrusion rig and the combinations of these factors in pairs as well as the three altogether. Higher machine speeds produced more quality pellets at lower die diameters while lower machine speed is recommended for higher die diameter. Also the unit density depends on die diameter and the three-way interaction only. Unit density of cassava pellets is neither affected by machine parameters nor moisture content of the cassava dough. Moisture content of cassava dough, speed of the machine and die diameter of the extrusion rig are significant factors to be considered in pelletizing cassava to produce pellets. Increase in moisture content of cassava dough increase the quality of cassava pellets. Keywords: Moisture content, Machine speed, Die diameter, Hardness, Durability, Bulk density, Unit density, Cassava pellets, Cassava doug

Drying kinetic of industrial cassava flour: Experimental data in view

In this data article, laboratory experimental investigation results on drying kinetic properties: the drying temperature (T), drying air velocity (V) and dewatering time (Te), each of the factors has five levels, and the experiment was replicated three times and the output: drying rate and drying time obtained, were observed. The experiment was conducted at National Centre for Agricultural Mechanization (NCAM) for a period of eight months, in 2014. Analysis of variance was carried out using randomized complete block design with factorial experiment on each of the outputs: drying rate and drying times of the industrial cassava flour. A clear picture on each of these outputs was provided separately using tables and figures.It was observed that all the main factors as well as two and three ways interactions are significant at 5% level for both drying time and rate. This also implies that the rate of drying grated unfermented cassava mash, to produce industrial cassava flour, depend on the dewatering time (the initial moisture content), temperature of drying, velocity of drying air as well as the combinations of these factors altogether. It was also discovered that all the levels of each of these factors are significantly difference from one another. In summary, the time of drying is a function of the dewatering time which was responsible for the initial moisture content. The higher the initial moisture content the longer the time of drying, and the lower the initial moisture content, the lower the time of drying. Also, the higher the temperature of drying the shorter the time of drying and vice versa. Also, the air velocity effect on the drying process was significant. As velocity increases, rate of drying also increases and vice versa. Finally, it can be deduced that the drying kinetics are influenced by these processing factors. Keywords: Drying rate, Drying time, Drying kinetic, Industrial cassava flour, Temperature, Velocity, Dewatering, Moisture content, Grated unfermented cassava mas