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产品退市决策研究：基于Cox生存模型的实证分析
产品退市 生存分析 Cox模型
2014/5/19
本文通过对影响产品退市的因素进行研究，运用生存分析模型确定了对产品退市有显著影响的两大因素及其影响机制，他们分别是：上市前期的销量变化率和退市前期的平均销量。具体而言：上市前期的销量增长率越高，退市的危险性越小，生存时间越长；退市前期的平均销量越高，退市的危险性越小，生存时间越长。同时本研究还验证了市场份额对两大影响因素的调节作用。另外本研究还发现了与人们通常的直觉不同的一个结果，市场份额低的产品...
Gaussian Oracle Inequalities for Structured Selection in Non-Parametric Cox Model
Gaussian Oracle Inequalities Structured Selection Non-Parametric Cox Model
2012/9/19
To better understand the interplay of censoring and sparsity we develop finite sample properties of nonparametric Cox proportional hazard乫s model. Due to high impact of sequencing data, carrying genet...
Ultrahigh dimensional variable selection for Cox's proportional hazards model
Ultrahigh dimensional variable selection Cox's proportional hazards model
2010/3/10
Variable selection in high dimensional space has challenged many
contemporary statistical problems from many frontiers of scientific disciplines.
Recent technology advance has made it possible to co...
An omnibus test of fit for Cox's proportional hazards
regression model is proposed for continuous data. The vrocedure is
extended to a random censorship model. Density estimation methods
are used.
A process based on stratification for Cox's regression model
A process based on stratification Cox's regression model
2009/9/23
A process based on stratification to check the proportional
hazards assumption in a general Cox's regression model is
considered. The stratification is based on a nonrandom choice of strata
for ind...
A refined estimate of the rate of convergence of
one-dimensional distributions of nonrandomly centered generalized
Cox processes to location mixtures of normal laws is presented. Asymp- .
totic exp...
A Cox Model with a Change-Point Applied to an Actuarial Problem
A Cox Model Change-Point an Actuarial Problem
2009/9/17
A Cox Model with a Change-Point Applied to an Actuarial Problem。
A KNOWLEDGE-BASED VARIABLE SELECTION METHOD FOR BOX-COX TRANSFORMATION
Regression analysis Box-Cox transformation variable selection j-th best subset problem variable classification meaningful subset practically best regression equation intellectual statistical system OEPP
2009/3/10
In actual applications of regression analysis, users face two difficult problems. One is to find the most appropriate functional form, while the other is to search for the best subset derivable from a...
A Modified Box-Cox Transformation in the Multivariate ARMA Model
Box-Cox transformation limit theorems Monte-Carlo Wald test multivariate ARMA model ratio data transformation-linear process
2009/3/5
The Box-Cox transformation has been used as a simple method of transforming dependent variable in ordinary-linear regression circumstances for improving the Gaussian-likelihood fit and making the dist...