Use of latent class regression models with a random intercept to remove the effects of the overall response rating level
نویسنده
چکیده
Food manufacturers need to understand the taste preferences of their consumers in order to develop successful new products. The existence of consumer segments that differ in systematic ways in their taste preferences can have important implications for product development. Rather than developing a product to please all potential consumers, the manufacturer may decide to optimize the product for the most important segment (perhaps the largest or most profitable). Alternatively, the manufacturer may opt for developing a number of products with different sensory profiles, each satisfying at least one of the segments.
منابع مشابه
بهکارگیری متغیرهای پنهان در مدل رگرسیون لجستیک برای حذف اثر همخطی چندگانه در تحلیل برخی عوامل مرتبط با سرطان پستان
Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical response. Strong correlations among explanatory variables (multicollinearity) reduce the efficiency of model to a considerable degree. In this study we used latent variables to reduce the effects of ...
متن کاملThe Analysis of Bayesian Probit Regression of Binary and Polychotomous Response Data
The goal of this study is to introduce a statistical method regarding the analysis of specific latent data for regression analysis of the discrete data and to build a relation between a probit regression model (related to the discrete response) and normal linear regression model (related to the latent data of continuous response). This method provides precise inferences on binary and multinomia...
متن کاملمدل معادلات ساختاری و کاربرد آن در مطالعات روانشناسی: یک مطالعه مروری
Introduction: Structural Equation Modeling (SEM) is a very general statistical modeling technique, which is widely used in the behavioral sciences. It can be viewed as a combination of path analysis, regression and factor analysis. One of the prominent features of this method is the ability to compute direct, indirect and total effects, as well as latent variable modeling. Methods: This sy...
متن کاملImpact of Health Research Systems on Under-5 Mortality Rate: A Trend Analysis
Background Between 1990 and 2015, under-5 mortality rate (U5MR) declined by 53%, from an estimated rate of 91 deaths per 1000 live births to 43, globally. The aim of this study was to determine the share of health research systems in this decrease alongside other influential factors. Methods We used random effect regression models including the ‘random intercept’ and ‘random intercept and ran...
متن کاملParameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کامل