compute the GPM/GMI satellite brightness temperatures at each channel. Nevertheless, ECMWF analysis data is a 0.125° x 0.125° resolution product (6 h temporal resolution). Therefore, it has been necessary to interpolate the ECMWF analysis fields to the GMI footprint, in both time and space. This is done by employing a simple interpolation scheme that interpolates the ECMWF atmospheric and surface analysis fields in time and space to exact location of the GMI radiometric measurements. One should…
articles “Defining the duality of data governance” by Zweli Sikhakhane and “Data quality: Whose job is it?” by Kathleen Hickey will be summarized, compared and evaluated with Anthony Fisher’s “The Data Asset: How smart companies govern their data for business success” to analyze the key similarities and the key differences between issues surrounding data quality management (DQM) and data governance and how they relate to each other. The article “Defining the duality of data governance” by Zweli…
Standard Deviation* Co-efficient of Variation* (% R.S.D.) Standard Error* SER 99.40 0.9186 0.9241 0.3773 DCL 100.46 0.6772 0.6740 0.2752 SER is Serratiopeptidase and DCL is Diclofenac potassium,* Here Mean is the average of (n=6) results. Table 4: Data forAnalysis of Tablet Sr. No. Label Claim (mg/tab) Amount Found (mg/tab) % of Label Claim SER DCL SER DCL SER DCL 1. 10 50 O9.70 49.40 97.00 98.80 2. 10 50 09.87 50.20 98.70…
meaningful quantitative analysis when assessing students’ concept maps in terms of the importance of…
Performance Evaluation In order to assess the model accuracy, it is necessary to use some quantitative measures of learning. In this study the Mean Squared Error (MSE) and regression analysis were used to evaluate the model performance. MSE is a useful measure of success for numeric prediction and is calculated using Eq. (1). It is worth mentioning that small values of MSE indicate better performance of the ANN model. It was found that the optimum performance of the model is at 25 neurons with…
previous experience in industry (V10), visibility of investment in local community (V11), acquisition of reputable brand (V12), preventing competitors to enter the B&H`s market (V13). Results of the analysis are given in the following text. Table 5. below shows summary of regression model. R square amounts to 0,155 and indicates that predictive power of the model is 15,5%. Model`s strength is poor, but adjusted R square is lower than R square, so there is no need for introduction of other…
Three approaches were used in developing cost profile method; net cash flow, contract value data (value flow) and construction cost data (cost flow or cost commitment) by utilizing the three sides of the cash flow equation. Though significant deviation observed with actual and modeled forecast due to lack of addressing the risks impact inherent with construction…
a repeated measures ANOVA? What does the term one-way mean with respect to an ANOVA? According to Jackson (2012), a randomized ANOVA is an analysis of variance conducted on data where the participants are randomly assigned to conditions in a between-subjects design (Jackson, 2012, p. 286). A repeated measures ANOVA is an analysis of variance conducted on data where the participants are correlated either a within-subjects or matched-subjects design. The difference between a randomized ANOVA and a…
Genzyme Corporation Environmental Analysis By Dinithi Fernando S00177109 Executive Summary This report presents a decisive analysis of internal and external environments of Genzyme Corporation prior to its acquisition by Sanofi Plc. The analysis of environments is measured with the help of SWOT analysis, PESTEL analysis and Poter’s five force analysis. Moreover, this report also hit upon some problems that the company had to encounter while running the business in changing…
To be included in the database, we determined that the Local Educational Agency (LEA) must be a Connecticut public school district for which we can collect SBA assessment data and SES data at both the grade level and the district level. We set the minimum number of test-takers at 60. We used a least-squares regression model to determine the predictive power of two socio-economic factors on student achievement. The outcome variable…