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Showing 1 to 16 of 16 for “"Binary regression"”.
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Binary Regression Quantiles
Binary regression quantiles are solutions to difficult optimization problems that requires the use of a global optimizer. Chapter 5 reviews some of the literature on simulated annealing, a method widely used in a diverse array of fields to solve demanding optimization problems.
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Practical Aspects Of Kernel Smoothing For Binary Regression And Density Estimation
… use of kernel smoothing in three areas: binary regression, density estimation and Poisson regression sample size calculations. Both nonparametric and semiparametric binary regression estimators are examined in detail, and extended to two bandwidth cases. The asymptotic behaviour of these …
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The New Frontier: An Analysis of Effective New Media Political Communications and Campaigning
… States Senate. Data/Methods: For this analysis, binary regression will be used. Our units of analysis will be dissected using logistic regression to determine what variables are statistically significant. For the second half of this analysis, the dependent variable will be a binary measure of …
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Efficacy of fraud triangle model in the detection of fraudulent financia reporting in South African Municipalities
… financial years; the data was analysed using the binary regression model. The findings revealed that the fraud risk factors are correlated with the occurrence of fraudulent financial reporting. Additionally, the study found that the three fraud risk factors - pressure (proxied by financial …
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Fatty acid metabolism and SNPs related to obesity in a longitudinal study of Swedish men: Predictors of metabolic syndrome
… at age 70 were removed before conducting binary regression analysis. Significant associations of SNPs were mainly with enzymes and/or FAs in cholesteryl esters, and high-density lipoprotein cholesterol (HDL-C). Variables of the ULSAM cohort that significantly correlated with one or more …
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Devaluation and Solvability: The Quest for Factors Affecting Violent Crime Clearance
… Community Survey and employed multi-level binary regression models to examine the effect of victim, incident, police, and community characteristics on violent crime clearance by arrest and victim noncooperation. The results showed that aggravated assaults against non-White victims are less …
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Analysis and techniques of data compression in smart grids in the context of IEC 61850 communication protocol
… and it is based on a combined wavelet-surrogate binary regression tree and a hybrid thresholding method. The proposed approach for data compression is tested experimentally in real-time in the context of IEC 61850 communication protocol and the performance is compared to the existing approaches …
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Fertility Awareness Based Methods (FABMs): Evaluating and Promoting Female Interest for Purposes of Health Monitoring and Family Planning
… 2018. An independent samples t-test and two binary regression models were run using the Statistical Package for Social Sciences software (SPSS). Of the total 665 female participants 279 (41.9%) females reported not being interested in using FABMs for family planning and 386 (58%) females are …
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Ecologie et connaissances ethnozoologiques de quelques espèces d'oiseaux gibiers menaces des ecosytèmes du Sud du Bénin
… groups, sex and age. Moreover a logistic binary regression was carried out to determine the socio-economic factors which affect bird species exploitation by the grassroots communities. Results of modeling showed that among the variables selected for the prediction of the climatic models, …
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Factors contributing to disadoption of conservation agriculture among smallholder farmers in Petauke,Zambia
… data was analyzed by chi-square and a binary regression. Results show that 29 percent of smallholder farmers disadopted CA. CA basins were the most disadopted due to their labour intensiveness. The four most commonly cited factors leading to disadoption of CA as reported by smallholder …
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Factors contributing to disadoption of conservation agriculture among smallholder farmers in Petauke,Zambia
… data was analyzed by chi-square and a binary regression. Results show that 29 percent of smallholder farmers disadopted CA. CA basins were the most disadopted due to their labour intensiveness. The four most commonly cited factors leading to disadoption of CA as reported by smallholder …
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Assessing beneficiation of black emerging macadamia farmers from the statutory levy for transformation in Vhembe District, Limpopo Province, South Africa
… 14 were used to capture and analyze the data. A binary logistic regression model was used to investigate the influence of socio-economic factors on the beneficiation towards a transformation programme funded by statutory levies. PCA and Tobit regression model was used to evaluate the impact of …
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Behavioral ecology of wild turkeys
… daily nest survival. Based on the results from binary-regression models of daily nest survival, I found that daily nest survival rates declined with increasing visual obstruction (51 – 100 cm) of a nest site. Models of incubation recess behavior did a poor job explaining daily survival rates of …
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A quantitative and qualitative analysis of competing motivations interacting in the placement of finite relative clauses in Hindi
… between them. A Multinomial Logistic Regression was selected as the prediction model (cf. Binary Regression Model in Francis & Michaelis 2016 and Strunk 2014). The predictability of the model was also tested by means of a Confusion matrix or Error matrix, using R (R Development Core …