... 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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... 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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... 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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... 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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... 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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... **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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... 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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... 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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... 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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... 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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... **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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... 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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... 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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... 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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... 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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... 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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... 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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... 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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... 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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... 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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