[PDF] Top 20 Analysis of GPS Trajectories using Pearson and Spearman Correlation
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Analysis of GPS Trajectories using Pearson and Spearman Correlation
... Pearson's correlation coefficient statistical inference often focuses on testing the null hypothesis that the true correlation coefficient ρ is equal to 0, based on the value of the sample ... See full document
6
Evaluation of the Accuracy and Automation of Travel Time and Delay Data Collection Methods
... each GPS unit was eva- luated for positioning accuracy during data collection ...by using a combination of parametric and non- parametric statistical ...tests. Using the Analysis of Means, ... See full document
12
Scrutinization of Student Knowledge by Pearson and Spearman Technique
... metric analysis on the given data set. In perspective of the spearman attribute analysis and Pearson correlation of data, we can separate each student in light of the learning ... See full document
5
THE RELATIONSHIP BETWEEN LEVEL OF EMPLOYEES MATURITY, KNOWLEDGE MANAGEMENT AND ORGANIZATIONAL INTELLIGENCE IN TELECOMMUNICATIONS DEPARTMENT OF KERMAN Somayeh Shaabani, Dr. Sanjar Salajegheh
... data analysis spss20, descriptive and inferrential statistics such as; variance, average, correlation coefficients of Pearson and Spearman have been ... See full document
15
Preoperative risk stratification models fail to predict hospital cost of cardiac surgery patients
... classified using six preoperative scoring models (EuroSCORE, Parsonnet, Ontario, French, Pons and ...basis using the bottom up ...The correlation between hospital cost and the six models was ... See full document
7
Shotgun metagenomic analysis of microbial communities from the Loxahatchee nature preserve in the Florida Everglades
... Statistical analysis of the 17 samples focused specific- ally on genes involved in metabolic pathways related to methane production (mrcABG), nitrogen fixation (nifHDEK), and sulfur reduction (dsrAB) due to their ... See full document
10
Effects of watershed and riparian zone characteristics on nutrient concentrations in the River Scheldt Basin
... Abstract. The relative influence of a set of watershed char- acteristics on surface water nutrient concentrations was ex- amined in 173 watersheds within two subcatchments (Upper- Scheldt and Nete) of the River Scheldt ... See full document
10
A Visual Analytic System to handle Large Scale Trajectory Data with Different Route Choices
... from trajectories, which defines the boundary of this general GPS data based ...massive trajectories and factors exploration with route choice ...taxi GPS trajectory dataset, we demonstrate ... See full document
10
Financial ratio anaylsis of some selected banks in Ekiti state, Nigeria
... out using chi- square and spearman correlation, it is clear that there is significance difference in each of the ...ratio analysis of profitability performances of return on assets (ROA) with ... See full document
6
THE EFFECTS OF QUALITY FACTORS OF WEB BASED INFORMATION SYSTEM ON THE EMPLOYEE CONTEXTUAL PERFORMANCE
... regression analysis of dependent variable on two or more independent ...of correlation [24]. Figure 6 explains the multiple regressions analysis in which the correlations and the contributions of ... See full document
7
Hydro-Chemical and Physico-Chemical Monitoring of Groundwater in North-West Region of Punjab, India- A Study Involving Analysis of Major Ions, Heavy Metal Ions and other Related Parameters
... to analysis for chemical ...determined using water analysis kit. Analysis of water samples for heavy metal analysis was also carried out in the present ... See full document
11
The effect of climatic parameters on air pollution in Sanandaj, Iran
... Air pollution is one of the emerging environmental issues of the western cities of Iran. Daily data (2009-2012) on air pollutants in Sanandaj, Iran, were collected from the Department of Environmental Protection, ... See full document
13
A Simulation Based Comparison of Correlation Coefficients with Regard to Type I Error Rate and Power
... the correlation coefficients under bivariate lognormal distribution are presented in Table 3, where it is obvious that the Pearson correlation coefficient is highly negatively af- fected by the ... See full document
15
Pearson correlation coefficients and accuracy of path analysis used in maize breeding: A Critical Review
... The limitation in seeds' production was surpassed later (1918) from an idea of Donald Forsha Jones, who while still a graduate student, defended the idea of using four genetic bases, or double-cross hybrids. The ... See full document
9
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning
... Specifically, with multi-level text embedding and multi- field attention mechanisms, DPAM captures more sophis- ticated semantic features. Therefore, compared to DSSM and ARC-I, DPAM ranks the POIs with more accurate ... See full document
8
Correlation between B7-H3 expression and matrix metalloproteinases 2 expression in pancreatic cancer
... All total RNA samples were reverse transcribed using the Advantage RT-for-PCR kit (Clontech Laboratories, Inc., Palo Alto, CA, USA). Samples were analyzed by quantitative RT-PCR (qRT-PCR) using the ... See full document
7
STATISTICAL NON-PARAMETRIC CORRELATION DIAGNOSTIC FOR DYNAMIC BEHAVIOR OF MALAYSIAN CURRENCY WITH WORLD CRUDE OIL PRICE
... Figure 1 shows the dynamic movement of currency exchange rate for1 USD (United State Dollar) to Malaysia Ringgit (MYR). The selected period for analysis is selected from 1 st January 2010 until 28 th February ... See full document
13
Original Article Analysis on clinical value of dual-source CT coronary angiography combined with SPECT in assessing correlation between myocardial perfusion abnormality and coronary artery stenosis
... SPSS18.0 software was used for experimental data processing. Measurement data conform- ing to the normal distribution and homogeneity of variance were presented as mean ± stan- dard deviation ( _ x ± sd), and ... See full document
9
WASSA 2017 Shared Task on Emotion Intensity
... sentations learned using neural networks (sen- tence embeddings). Some of the word embed- dings models used were Glove (SeerNet, UWa- terloo, YZU NLP), Word2Vec (SeerNet), and Word Vector Emoji Vectors (SeerNet). ... See full document
16
Forecasting Economic Aggregates Using Dynamic Component Grouping
... behind using the components to forecast an aggregate is that al- lowing for different specifications across disaggregate variables may capture more pre- cisely the dynamics of a process that becomes too complex ... See full document
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