Analisis regresi merupakan salah sa

Analisis regresi merupakan salah satu metode statistika yang paling banyak digunakan dalam berbagai bidang, karena menyediakan konseptual sederhana untuk menyelidiki hubungan fungsional antar variabel. Hubungan tersebut dinyatakan dalam bentuk persamaan atau model yang menghubungkan antara respon dan satu atau lebih variabel bebas [1]. Penggunaan metode maximum likelihood (MLE) adalah untuk memperkirakan parameter model regresi logistik binomial, seperti [2] telah meneliti keberadaan (existence) dan keunikan (uniqueness) dari estimator maximum likelihood untuk dua parameter distribusi binomial. Begitu pula [3] telah mencari fungsi ekspektasi dari estimator maximum likelihood untuk koefisien dalam model regresi logistik dari dua parameter. Sama halnya [4] menggunakan metode MLE untuk penaksiran parameter random regresi logistik binomial pada model kepuasan perumahan.

Hasil (Inggris) 1:

Regression analysis is a statistical method is one of the most widely used in various fields, as it provides a simple conceptual to investigate the relationship between functional variables. The relationship is expressed in the form of the equation or model that connects between the response variable and one or more free [1]. The use of the method of maximum likelihood (MLE) is to estimate the parameters of the binomial logistic regression models, such as [2] have examined the existence (existence) and uniqueness (uniqueness) of the maximum likelihood estimator for the two parameters of the binomial distribution. Similarly, [3] has been looking for a function of expectations of the likelihood for maximum coefficient estimator in logistic regression models of the two parameters. Same as [4] use of methods for valuation of the MLE of the parameters binomial logistic regression on the random model of housing satisfaction.

Hasil (Inggris) 2:

Regression analysis is a statistical method that is most widely used in various fields, as it provides a conceptually simple to investigate the functional relationship between variables. That relationship is expressed in equation form or model that links between responses and one or more independent variables [1]. The use of maximum likelihood method (MLE) is to estimate the parameters of binomial logistic regression models, such as [2] have examined the existence (existence) and uniqueness (uniqueness) of the maximum likelihood estimator for the two parameters of the binomial distribution. Similarly, [3] has been looking for a function of expectations of maximum likelihood estimators for the coefficients in a logistic regression model of the two parameters. Similarly, [4] using the MLE for parameter estimation random binomial logistic regression model housing satisfaction.