Mixture Models for Ordinal Data
نویسندگان
چکیده
منابع مشابه
Generalized mixture models for the analysis of ordinal data
A generalized mixture model for categorical ordinal data aimed at representing the composite nature of the elicitation mechanism in rating processes is proposed. Models for ordinal data are based on two main approaches: methods concerning latent variables which are behind the ordered selection and methods which derive from a structured probability distribution. In the first instance a close rel...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولTransition Models for Analyzing Longitudinal Data with Bivariate Mixed Ordinal and Nominal Responses
In many longitudinal studies, nominal and ordinal mixed bivariate responses are measured. In these studies, the aim is to investigate the effects of explanatory variables on these time-related responses. A regression analysis for these types of data must allow for the correlation among responses during the time. To analyze such ordinal-nominal responses, using a proposed weighting approach, an ...
متن کاملMixture Models for Ordinal Responses with a Flexible Uncertainty Component
In classical mixture models for ordinal data with an uncertainty component the uniform distribution is used to model indecision. In the approach proposed here the discrete uniform distribution is replaced by a more flexible distribution, which is centered in the middle of the response categories. The resulting model allows to distinguish between a tendency to middle categories and a tendency to...
متن کاملBayesian Mixture Models With Focused Clustering for Mixed Ordinal and Nominal Data
In some contexts, mixture models can fit certain variables well at the expense of others in ways beyond the analyst’s control. For example, when the data include some variables with non-trivial amounts of missing values, the mixture model may fit the marginal distributions of the nearly and fully complete variables at the expense of the variables with high fractions of missing data. Motivated b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sociological Methods & Research
سال: 2010
ISSN: 0049-1241,1552-8294
DOI: 10.1177/0049124110366240