... statistically evaluated, first using backward -regression, using logistic regression and then re-evaluated We intend to develop a z-score by using the coefficients determined by logistic regression then retesting ... and Adjustments Employed 3 Statistical Methods Employed 3 Using Traditional RegressionAnalysis 3 Refining Results Using Logistical Regression 3 Expected Contributions of the Methods Selected ... DISSERTATION Title: PREDICTING CORPORATE BANKRUPTCY USING MULTIVARIANT DISCRIMINATE ANALYSIS (MDA), LOGISTIC REGRESSION AND OPERATING CASH FLOWS (OCF) RATIO ANALYSIS: A Cash Flow-Based Approach Christopher...
... that ordinary linear regression model could provide is too limited Recently, many researches were done with quantile regression instead For example, researches using quantile regression on Portugal ... “Quantile Regression Journal of Economic Perspectives, Vol.15, No.4, pp143-156 Roger Koenker (2005), “Quantile Regression Cambridge University Press James L Powell (1986), “Censored Regression ... Distribution in Urban China: Evidence from Quantile RegressionAnalysis China Economic Journal, Vol.1, pp165-175 15 Roger Koenker, “Quantile Regression in R: A Vignette” 16 Alberto Abadie (1997),...
... convection and radiation is calculated using energy balance equations These heat losses from the flat plate collector are shown in the Figure The detailed thermal analysis of flat plate collector is ... C=0.2 and n=0.26 in convective heat transfer coefficient and by using the formula proposed by [28] for modified Grashof number and by using the formula proposed by [30] for distillate mass flow, ... previous analysis, it is found that for the month of March, the distillate yield, distillate efficiency and overall thermal efficiency are maximum for all the water bodies Thus, the further analysis...
... and analyze spend analysis data that can lead to improved PSM practices -7- What Is aaSpend Analysis? What Is Spend Analysis? An in-depth analysis of purchases An in-depth analysis of purchases ... Services/Directorate for Information Operations and Reports -1- INTRODUCTION Using a Spend Analysis to Help Identify Using a Spend Analysis to Help Identify Prospective Air Force Purchasing and Prospective ... rationalization See Aberdeen (2002), particularly p -6- OVERVIEW OF SPEND ANALYSIS Outline Outline Overview of spend analysis Overview of spend analysis Indicators of prospective Air Force opportunities for...
... approach to testing an integrated water systems model using qualitative scenarios, Environmental Modelling & Software 22, (2007) 1557. [8] G.F. Pitz, J. McKillip, Decision analysis for programme evaluators, Sage Publications, Beverly ... the MCA methods. Section 3 describes step by step the application of the MCA method using pair‐wise comparison and its results to the problem of brackish water shrimp ... on the results and the research outlook. 2. Methodology 2.1. Framework for multi‐criteria analysis Any decision problem can be structured into three major phases: intelligence ...
... step using the three-dimensional coordinates of the infrared markers Mean and standard deviations for each parameter and time interval were calculated for each patient and used for further analysis ... index and variability indices are between and 1, respectively Statistical Analysis All statistical tests were performed using StatFree Version 4.4.2.2 (VietenDynamics) and Stata Version 10.1 (StatCorp ... parameters between t1 and t2 were detected using Student’s t-tests for paired samples Differences in non-normally distributed parameters between t and t were detected using Wilcoxon signed-rank tests Differences...
... h 0.4 Absent from work because of using illegal drugs during last 12 months 0.4 In-efficiency at work because of using illegal drugs during last 12 months 0.6 Analysis of oral fluid (n = 524) ... different recruitment procedures Results of questionnaire and analysis of oral fluid The principal results of the questionnaire and analysis of oral fluid are presented in Table Drug concentrations ... when using two pro- Gjerde et al Journal of Occupational Medicine and Toxicology 2010, 5:13 http://www.occup-med.com/content/5/1/13 Page of Table 2: Positive responses from questionnaire and analysis...
... inhibit the migration of leukocytes to the CNS [16], these inflammatory cells still Linear regressionanalysis was performed to evaluate the relationships between: CSF HIV-1 RNA viral load and ... that influence HIV-1 cerebrospinal fluid concentrations in cryptococcal meningitis: linear regressionanalysis Variable HIV-1 plasma viral load In CSF: Leukocyte count Protein concentration Cryptococcal ... investigation, no correlation was found between CCPA titer and CSF HIV-1 viral load in the linear regression analysis; that is, a higher antigen titer did not correlate with a higher viral load Our study...
... converged using the nonlinear equation process Considering Equation as the cost function, this nonlinear problem is converted into a minimization problem, and ˆ ˆ fm,p and φm,p are determined using ... Terada., et al, Non-stationary waveform analysis and synthesis using generalized harmonic analysis, in IEEE-SP International Symposium on TimeFrequency and Time-Scale Analysis, pp 429–432 (1994) 18 N ... the maxima of output SNR using DFT and NHA are 9.1 and 17.4 dB, respectively Therefore, the proposed technique using NHA is more useful in the noise reduction than that using DFT In addition, it...
... the period can be estimated easily using time-domain autocorrelation Otherwise, one has to resort to the frequency domain, as follows Using the Fourier series analysis, the received signal can ... no competing interests 11 Authors’ contributions LL carried out the theoretics analysis of using sparse component analysis on radar measurements, performed the simulation experiments and drafted ... presents the SCA method using the OMP algorithm to estimate the precession frequency and image the scattering centers of the BM In order to reduce the computational requirement, the nonlinear least square...
... naturally admits the use of nonlinear functions that are analytic rather than the pseudocomplex nonlinear functions defined using real-valued nonlinearities Analytic complex nonlinear functions have ... case of independent component analysisusing maximum likelihood The framework can also be used to perform the analysis of nonlinear adaptive algorithms such as ICA using the relative gradient update ... to independent component analysis Independent component analysis (ICA) for separating complex-valued signals is needed in a number of applications such as medical image analysis, radar, and communications...
... estimate the cycle frequencies of interest using the method outlined in [18] After the appropriate cycle frequencies have been located, the SCF can be computed using the equivalent method of frequency ... classifier from [14] using only the cycle frequency profile is simulated as a benchmark for comparison to the first stage of the proposed classifier This demonstrates the advantage of using both the cycle ... channel using the MRC-variant combining scheme Figure 21: Ability of proposed classifier and benchmark to determine a signal’s modulation family in a faster varying 20-path fading channel using...
... conclude and discuss the issues related to the proposed algorithm WATERMARKING USING ICA Independent component analysis (ICA) [10] is an important technique in signal processing whose goal is ... image, I, using NVF (noise visibility function) technique [15, 16] Shown in Figure is the detail of our WMicaD extraction scheme We extract the two watermarks from the watermarked image, I + , using ... “Information-theoretic analysis of information hiding,” IEEE Transactions on Information Theory, vol 49, no 3, pp 563–593, 2003 [4] S Zhang and P K Rajan, “Independent component analysis of digital...
... when compared to the results of the quantitative analysis Similar results are obtained by using other cross-sections According to the standard analysis, it is evident that the lower is the amorphous ... segmentation and classification of MRSI data using canonical correlation analysis, ” Magnetic Resonance in Medicine, vol 54, no 6, pp 1519–1529, 2005 [8] O Friman, Adaptive analysis of functional MRI data, ... stromal cells in the structural change of scaffold Canonical correlation analysis reveals as a valid tool for a systematic analysis of the materials as they appear in the X-ray diffraction patterns...
... basis for the detection method, we limit our attention to single-electrode analysis; extension to multiple-electrode analysis is straightforward Also, the algorithm simplicity has been a major ... Figure 1) that is efficiently implemented using a WOLA structure [6] The filterbank parameters, adjusted by optimization for this application, are K = 32 subbands, analysis window length of L = 256, ... increases robustness in the next stage of synchrony analysis All further steps of processing are applied to the binary peak signals Bk (m) 2.3 Synchrony analysis and robust beat detection In the next...
... The supernatant of solution was filtered through a 0.45 μm pore Millipore filter HPLC analysis was performed using LC2010C Shimadzu Japan system equipped with a CAPCELL PAK C18 column Ten ml of ... (50/50) This procedure previously described HPLC Analysis for Evaluation 130 by Ohyama and Imai.5 The calculation content of MMA (x) in g was calculated using the following formula: (MMA) X = (Pvz ... in a hydraulic bench press for 25 at room temperature The polymerization cycle that carried out using water bath at boiling temperature was then switched off and left for 15 It was then boiled...
... juvenile (core) and mature (outer), different regression lines will be supposed With a nonlinearregressionanalysis the regression parameters of the two regression curves are estimated and simultaneously ... publication offers a statistical method, called nonlinear mixed effectsmodel, which overcomes several disadvantages of the segmented regression analysis, actually suggested in the scientific literature ... Figure illustrates the segmented regression model for one tree (tree No 53) The segmented regression estimates simultaneously the parameters of the two combined regression function (see Eq (1))...
... identification of the underlying disease-causing mutations We investigated whether linkage analysisusing the Lander-Green algorithm could be performed using genotypes inferred from WES data, removing ... can perform linkage analysisusing genotypes from a single affected individual, a method known as homozygosity mapping [33] as permitting variable penetrances, non-parametric analysis and formal ... family T Hence, linkage analysis substantially reduces the fraction of variants identified that are candidates for the disease-causing variant of interest Conclusions Linkage analysis is of great...