Erreygers and Kessels (2013) point to the fact that, being derived entirely from the health regression, the decomposition method by Wagstaff et al (2003) only focuses on one dimension, health, and ignores the income or socioeconomic status dimension. Therefore, in the context of bivariate rank dependent indices, which depend on joint distribution of health and socioeconomic status, WDW decomposition inadvertently explains the degree of variation only in the health variable rather than explaining the covariance between health and the socioeconomic rank (Heckley, 2016). Erreygers and Kessels (2013) and Erreygers and Kessels (2015) propose modified decomposition procedures to correct the unidimensional character of the WDW decomposition, but their procedures, as critiqued by Heckley et al (2016), are only suitable for absolute inequality measures and not relative inequality measures like the standard concentration
Over our time as students, The Scientific Method was the basis of each and every science class we had taken. This Scientific Method was a set list of steps one must take in order to do any scientific experiment, no matter what the experiment may be or do. Though this is the usual way that scientific discoveries are published, this is not the usual way that science in general is done. In this case, when trying to discover the origins of the elements and find an explanation for how the creation of larger elements is possible, Fred Hoyle and George Gamow are both trying to prove that their respective theories of the universe, Steady-State and the Big Bang, are correct; however, they do not use the linear form of the Scientific Method, but rather
The studies using the experimental designs showed the relevance of this methodology . Several studies have used AOPs for the degradation of antibiotics, but the application of Full factorial method for designing the experiment by Fenton process has not yet been reported. In In this work, we was performed the optimization of the degradation of CIP in aqueous solution by Fenton process, by using a 24 factorial experimental design. Four factors were chosen to build the full factorial design with two levels. The effects of factors and their interaction and suitability of the chosen model with the response have been studied.
Rather than working on complicated plans, Agile works with adaptive and evolutionary nature. TRADITIONAL PROJECT MANAGEMENT METHODS The traditions methodologies of project management adopt a step by step approach to complete a project. Hence, the project becomes lengthy as it goes through various stages the intial stage, planning of project, execution of the plan, controlling and monitoring the actions and finally winding the project as soon as it completes. The waterfall method is a method which incorporates a number of internal stages which are in sequence and are executed
Work of this type has been done by Job who developed the method of continuous variation . This Method makes use of any measurable additive property of two species [48, 49]. Any complex formed by the two species must give a value for the separate species. The simple application of the method involves equilibrium of type: A + nB = ABn Where A represents a metal, B a coordinating group and ABn a complex. Solutions are prepared in which the mole fraction of the compounds are varied and the total number of moles of both, is kept constant.
1.1 Waterfall Methodology The waterfall methodology is referred to as a linear-sequential life cycle model. It is very simple to understand and use. In a waterfall model, every and each phase must be completed and done before moving to the next phase.Which mean there is no return to the phase after moving to the next one (no iterations) due to that reason, this methodology doesn't fit Elaji project . 1.2 Agile Methodology Agile methodology is a combination of iterative and process that increment . Agile methods represent a relatively new approach to software development, becoming wide-spread in the last decade.
This successive decomposition is technically known as top down approach. Structured methods are used to do high level designing. It consists of following two
n is sample size, p is lag length and u_t is error term. A time trend component also augmented in Equation (3.1) to allow possible presence of deterministic time trend. The hypotheses to be tested are: H_0: ∝=0 against H_1:∝<0 Test statistics of ADF test is τ, but it does not follow t-distribution under H0 because the variance of the process is not constant. The empirical distribution of τ is tabulated by MacKinnon (1996). If H_0 is not rejected, y_t contains a unit root and it is not stationary.
THEORETICAL BACKGROUND OF THE GEOPHYSICAL METHODS OF INVESTIGATION 3.1 Preamble Geophysical survey methods have wide scope of utilizations, there is always one physical property for which a particular method is exceptionally sensitive. And few, if any, geophysical methods provide a unique solution to a particular geophysical situation. It is possible to obtain a very large number of geophysical solutions to some problems. However, a number of geophysical methods may be applied simultaneously (integrated geophysical exploration) in solving certain geophysical problems, and such approach, greatly reduces the problem of ambiguity, which is the inherent drawback in the interpretations of results from one method, by complementing the information