Analysis paper

dependent/endogenous variable. To avoid spurious results, unit root tests using Augmented Dickey-Fuller (ADF) (Dickey and Fuller, 1981) and Philips-Perron (PP) are performed to determine the time-series properties of the variables employed in the analysis. Two or more variables are said to be co-integrated when they exhibit long run equilibrium (relationship) if they share common trend(s).Therefore Auto-regressive distributed lag bounds approach (ARDL) is used to test it. The choice is based on several

A SWOT analysis is used at Palisades Mental Health Clinic to help deliberately display the strengths, weaknesses, opportunities, and threats inside the corporation. It is a graphic aid that can help organization leaders team create directions to advance the general purpose of the Palisades Mental Health Clinic. This kind of planned tool is vital in some company because it benefits manager squads appreciate and recognize the inner and outside issues that will touch the companies current and upcoming

software quality measurement. Static code analysis is one of the techniques used for quality assurance of a software. Here we propose a system which can be used on the salesforce platform for static code analysis of the apex code. The three components of the tool will step by step evaluate the code and produce final results which can be used to determine the code quality. This paper goes through various methods that can be used to develop a static code analysis. 1. Introduction Salesforce is a cloud

\subsection{Cross-validation} In real applications, the values of the controller parameters will be usually computed for one case (generally, the typical demand) and applied for different scenarios. Therefore, it is important that the controllers adjusted for one scenario, also perform properly in other circumstances. In other words, it is necessary to have a robust controller, especially against different demand profiles. This section analyses the robustness, against different mainline demands

This section will introduce the serviceability’s own user interface (UI) functionality, system (network traffic), and connectivity tests along with quality accessibility reporting. The QA team must document result finding from testing UI, system and connectivity outcomes and report all metrics for a good test outcome. The outline plan will test the following along with defining the quality assurance scoring. First test is the User Interface functionality on ease of use, can the end user increase

SWOT Analysis SWOT analysis is an acronym used for Strengths, Weaknesses, Opportunities and Threats. It is a tool used for the purpose of business analysis that can be used by an organization for each product and services for identifying the best way for future growth. It involves identifying the strengths and weaknesses of the organization along with the opportunities and threats that are present in the market in which the business operates. In short, it comprises of analysis of strengths, weaknesses

the simple computations we were trying to perform but hides the complex details was designed, MapReduce. This paper is an influential paper in the field of large scale data processing. It simplifies the programming model for processing large data set. The paper describes a new programming model based on lisp’s map and reduces primitives for processing large data set. In addition, the paper also describes a framework to automatically parallelize the map tasks across various worker machines. Each map

It is observed from Table 8 and Fig.3 that for each of the five data sets, the highest accuracy is achieved by applying NNGe and Simple Logistics on the feature subset by MLBFSS. The proposed algorithm achieves higher accuracy, lower RMSE, smallest number of selected features compared with other feature selection algorithms. So MLBFSS produces comparatively small number of features with high relevance and is faster as it follows filter method. Thus our proposed optimal feature subset selection based

Define a root cause analysis and when it is used. Root Cause Analysis (RCA) is a controlled method used to analyze serious adverse events. Originally developed to analyze industrial accidents, RCA is now commonly organized as an error investigation tool in health care. A principal theory of RCA is to identify fundamental problems that increase the probability of errors while avoiding the trap of focusing on mistakes by individuals. RCA thus uses the systems approach to identify both active

collected in order to determine what happened. After all of the data has been collected, it is then analyzed to see what if there was anything unusual, which could of lead to the incident. Once some of the problems have been determined, root cause analysis is done to provide an understanding and solution to the problem. After all of the root causes have been identified, then the fishbone process will begin to sort the causes of the problem into possible solutions. Once all of these steps have been