multinomial logistic regression
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An Application on Multinomial Logistic Regression Model
... of Multinomial Logistic Regression model which is one of the important methods for categorical data ...primary multinomial logistic regression ...the multinomial ...
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Examination By Multinomial Logistic Regression Model Of The Factors Affecting The Types Of Domestic Violence Against Women: A Case Of Turkey
... by multinomial logistic regression model were analyzed using ―Research on Domestic Violence against Women in Turkey‖ that was surveyed TUIK in ...for Multinomial logistic ...
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European Football Leagues Support among Undergraduate Students in Nigeria: A Multinomial Logistic Regression Approach
... Methodology: The data for this research were obtained using a questionnaire completed by some Nigerian undergraduate students. The Multinomial Logistic regression was employed. Result: A ...
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Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm
... Mustafa, A, Heppenstall, A orcid.org/0000-0002-0663-3437, Omrani, H et al. (3 more authors) (2018) Modelling built-up expansion and densification with multinomial logistic regression, cellular ...
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Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification
... sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional features and manually set initial ...
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Survival and Multinomial Logistic Regression Analyses of Sekondi-Takoradi District Level National Health Insurance Data in Ghana
... Multinomial Logistic Regression has been applied to find out the significant factors that support students’ academic performance in mathematics. The paper used a random sample of 393 students from a ...
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Driver's Good Postures Correction Model while Driving for Smart Vehicle Seat using Multinomial Logistic Regression
... using multinomial logistic ...using multinomial logistic ...the logistic regression models, first, we collected the piezoelectric values from 55 drivers and 17 types of cars from ...
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Causes and Effect of Occupational Stress and Coping on Performance with Special Reference to Length of Service: An Empirical Study Using Multinomial Logistic Regression Approach
... DOI: 10.4236/psych.2018.910141 2463 Psychology ity statistic split-half co-efficient Spearman-Brown formula (Cronbach, 1951; William Trochim, 2006) and subsequently elaborated by others (Novick & Lew- is, 1967; ...
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Large scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
... to multinomial logistic regression, we managed to shrink the training data while iterating and produce significant saving in computation and memory while preserv- ing the ...
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Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification
... sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional features and manually set initial ...
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Incorporating the Multinomial Logistic Regression in Vehicle Crash Severity Modeling: A Detailed Overview
... Multinomial logistic regression does not have an equivalent to the R-squared that is found in ordinary least square regression; however, there are some pseu- do-R-square statistics that have ...
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Bayesian Multinomial Logistic Regression for Author Identification
... on multinomial or polytomous generalizations of logistic ...a multinomial logistic regression model allows us to combine training data with prior domain ...
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The dynamics of poverty in Mexico: A multinomial logistic regression analysis
... a multinomial logistic regression model, the authors find that household size, household composition and the ethnicity of the household head play an important role in explaining chronic ...
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Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014
... bivariate, logistic and multinomial logistic regression ...The logistic results showed that older aged women, being employed and women with higher ideal number of children were less ...
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Profiling the Importance of Fishing Trips of Saltwater Anglers: A Multinomial Logistic Regression Analysis
... A growing number of research studies has adopted market segmentation approach to analyze recreational anglers’ fishing motivations [5] [3] [8] [1] [9]. No systematic study has been conducted related to understanding ...
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Urban noise analysis using multinomial logistic regression
... noise levels in the morning peak period for all areas with the numbers departing for work.. during that period but the noise levels generated do not correspond quantitatively with the.[r] ...
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Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization
... A sensitive point which should be noted is the convergence problem of the algorithm for solving the present optimization problem. In Glmnet, a specialized version of coordinate descent m[r] ...
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Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression
... either multinomial logistic regression (MLR) (McFadden, 1973; Greene, 2003; Train, 2009) or multinomial probit regression (Albert and Chib, 1993; McCulloch and Rossi, 1994; McCulloch et ...
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Application of Multinomial Logistic to Smallholder Farmers’ Market Participation in Northern Ghana
... the multinomial logistic regression model provide only the direction of the effect of the independent variables on the response ...after multinomial logit ...
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Privacy-Preserving Logistic Regression Training
... the logistic regression ...to multinomial logistic regression, it is likely this adaption will also apply to our SFH technique and hence our SFH technique can most likely also be ...
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