The brewing process of opaque beer suffers of lack of sophisticated measurement and good hygienic practices. Breweries of opaque beer experience variation in viscosity and beer quality. This variation is due to inconsistency in the manufacturing process and inputs/ingredients used in the brewing process. In this paper, the opaque beer (chibuku) was monitored via a statistical approach, multivariate cumulative sum (MCUSUM) charting. Monitoring was focused on different processes: gelatinization, souring, mashing, pitching, fermentation and packaging. These involve highly correlated variables including temperature, pH, time, viscosity and alcohol content. The variables were monitored simultaneously by using MCUSUM control charts. The results show that the quality of opaque beer (chibuku) is compromised by lack of uniformity in parameter measurement during production. More thorough inspection during chibuku brewing is required to ensure the consistency of measurable quality variables and to improve taste, shelf life and organoleptic characteristics of the beer. Copyright © 2017 The Institute of Brewing & Distilling
Poverty is rampant throughout the entire country of Zimbabwe and is smelt everywhere as its wave penetrates every sector of the economy. Zimbabwe's poverty is directly linked to its extremely high unemployment rate. Men, women, and youth are all affected by unemployment, including university graduates, as a number of industries and businesses have closed over the years, due to decline in tobacco exports, and the loss of revenue from the mining and farming sectors. Geographical location has a significant role in determining the income one has to spend to earn a living as there is some disparity in total consumption poverty lines with different provinces. Financial assistance or aids also varies in volume with the nature of province. In this paper, we seek to investigate whether Total consumption poverty line in Zimbabwe varies with time (type of month) and or with geographical location (the type of province into which one lives). We further seek to investigate which provinces share the same TCPL and which ones are most affected. We apply an ordinary Two-Factor Factorial Design to conclude our investigation.
In this paper, a time-consistent and arbitrage-free state space for the one-, two-, and three-factor Vasicek models for long-term bonds is constructed. To account for the uncertainty in long-term bond yields, we propose a stochastic time-dependent mean-reversion model. The state-space model allows for the computation of measurement errors from observed yields. Appropriate state and measurement linear equations are derived to allow the use of the Kalman filter for model implementation. Based on weekly South African Government Bonds from February 2010 to February 2021, we give parameter estimates for the one-factor, two-factor, and three-factor models. The results from the study show that the developed model can fit the term structure of very long-term bonds.
The movement of people into and out of the Zimbabwean borders has become a topical issue in every sector of the country. The main devastating movement is when a lot of skilled professionals leave the country to other countries in search of greener pastures without ploughing back home and left the country of origin with few or no skilled personnel to drive the economy forward. Zimbabwe is one of the developing countries that have suffered the "brain drain" for the past decades and currently there seem no solution to stop this emigration. There is no equal balance between immigrants and emigrants. In this paper, we investigate the trend analysis of Zimbabwe migration using Mann-Kendall and Sen's Slope test. We find Mann-Kendall Test imperative in the analysis of trends of migration since it most requires data which is not normally distributed and data which contains extreme values which are difficult to handle using parametric test. Firstly, we investigate the direction of the trend and then its magnitude in terms of slope. Results show that there is a significant increase in the number of migrants going out of Zimbabwe to other countries over past two decades. This is indicated by high positive magnitudes in trend or the Sen's estimator. On the other hand, there is insignificant trend of inflows from other countries into Zimbabwe over a decade from February to December, except in every January.
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