With increasing competition in today’s markets, the vital point for companies is to maintain their market shares. Therefore, marketers try to vitalize the companies’ brand, in order to maintain their positions in the market. Whereas, creation of a new brand is very costly and time consuming and its chance of success is limited, nowadays, more than ever, marketers are trying to achieve their goals through brand extension strategy. This research is conducted to evaluate acceptance of brand extension through Logit model. So, the reactions of consumers toward Samand’s brand extension were evaluated. In this descriptive survey, data has been collected by questionnaire. Research findings indicate, among others, that with hypothesis of Logistic function and Logit model, the probability of success of brand extension of Samand is 99.7%. Furthermore, the factors of purchase involvement with 90%, the factors of product involvement with 69%, and quality with 69.8% influenced acceptance of brand extension.

Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM’ s attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make use of Choquet integal and the recent attitudinal Choquet integral. The models are termed as Choquet nested logit (CNL), Choquet mixed multinomial logit (CMMNL), and Choquet multinomial probit (CMP). These are further extended to represent the DM’ s attitudinal character, and termed as attitudinal CNL, attitudinal CMMNL, and attitudinal CMP.

In this paper‎, ‎we propose a unit distribution called the logit Gudermannian distribution and present various statistical properties of the proposed model‎. ‎Six parameter estimation methods are explored in the quest to estimate the parameters of the proposed distribution‎. ‎We determine which estimation methods provide better parameter estimates through simulation studies‎. ‎The study shows that the logit Gudermannian distribution provides a better fit for the datasets used than other unit distributions‎. ‎Consequently‎, ‎the logit Gudermannian distribution is used to develop a parametric regression model for studying the relationship between a unit response variable and other exogenous variables‎. ‎The new regression model's performance is compared to that of other existing regression models and found to be competitive.

There are a lot of techniques and methods for prediction of bankruptcy; among them “Statistical methods” or econometrics techniques are more popular. As dependent variable in our study is qualitative; it is convenient to use qualitative discrete models. Mixed Logit model is one of the powerful and flexible techniques of discrete choices that allow the coefficients to be random with distribution function. Explanatory variables are financial ratios which derived from Zmijewski’s model. The sample data are from Tehran Stock Exchange’s Brokerage Companies during 2001-2008. We selected two random samples, one for estimation and another for prediction power test. Results show that the degree of successfulness of the model is over 90 percent.

In this paper, we try to find factors that determine the ability of companies to pay dividend. After searching in literature review, we determined some factors, then, we defined five hypotheses. Therefore, we built variables and collected data from 141 companies listed in Tehran stock Exchange over a period of eight years (1380-1387). Given the purpose of this study to determine the factors affecting the dividend payment; Logit model was used. The final model was estimated by Logit panel with fixed effects, showed that among the factors considered, uncertainty of cash flows, company’s life cycle, investment opportunities and company’s profitability having impact on the dividend payments. The marginal effect showed that company’s life cycle and company’s profitability are two factors with the most significant effect.