نتایج جستجو برای: categorical data jel classification r2

تعداد نتایج: 2787859  

پایان نامه :0 1392

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

2015
Jose P. Mauricio Vargas Steve Phillips

As emphasized by Hausmann, Rodrik and Velasco, the policy challenge of boosting growth requires prioritization and identifying what are the most binding constraints. This paper draws on firm-level data from the World Bank Enterprise Survey, which suggests that the obstacles for the functioning of firms is related to firm size. Recognizing the potential endogeneity and simultaneity between firms...

Journal: :The Annals of Statistics 2005

Journal: :Journal of the Japanese Society of Computational Statistics 2003

2006
Nicolai Kristensen Niels Westergaard-Nielsen

A Large-Scale Validation Study of Measurement Errors in Longitudinal Survey Data In this paper, we analyze measurement and classification errors in several key variables, including earnings and educational attainment, in a matched sample of survey and administrative longitudinal data. The data, spanning 1994-2001 and covering all sectors in the Danish economy, are much more comprehensive than u...

2007
George E. Tsekouras Christos Anagnostopoulos Damianos Gavalas Economou Dafhi

We propose a categorical data fuzzy clustering algorithm to classify web documents. We extract a number of words for each thematic area (category) and then, we treat each word as a multidimensional categorical data vector. For each category, we use the algorithm to partition the available words into a number of clusters, where the center of each cluster corresponds to a word. To calculate the d...

2016
Xiang Huang Zhizhong Wang

Abstract: Categorical variables are common in spatial data analysis. Traditional analytical methods for deriving probabilities of class occurrence, such as kriging-family algorithms, have been hindered by the discrete characteristics of categorical fields. This study introduces the theoretical backgrounds of linear Bayesian updating (LBU) approach for spatial classification through expert syste...

2010
Yizao Liu

This paper investigates how fuel economy efficiency affects household vehicle mileage traveled and its distribution. Using a detailed micro-level data of National Household Travel Survey 2001 and 2008, we estimated a recursive structural model for joint determination of vehicle fuel efficiency choice and vehicle mileage traveled each year. We further studied the distributional effects on vehicl...

M.T Yasemi

The difficulties of current classifications of depression can not be considered independent of the general complications of psy chiatric classification. A tedious period of heated debate between the proponent of unitary vs pluralist views, and between the advocates of the categorical vs dimensional views didn't prove fruitful. Current classifications share two main characteristics I.e, they are...

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