When the dependent variable in a regression model is a proportion or a percentage, it can be tricky to decide on the appropriate way to model it. The big problem with ordinary linear regression is that the model can predict values that aren’t possible–values below 0 or above 1. But the...
Graphical methods based on the analysis of residuals are considered for the setting of the highly-used Cox (1972) regression model and for the Andersen-Gil... THERNEAU TERRY M.,GRAMBSCH PATRICIA M.,FLEMING THOMAS R. - 《Biometrika》 被引量: 1.0万发表: 1990年 Checking the Cox model with...
A Scott-Type Regression Test of the Dividend Ratio Model Tests of a representation of the efficient markets model (the dividend-rtaio model of Campbell and Shiller (1988a)) of the stock market can be made by regr... Robert J. Shiller - 《Review of Economics & Statistics》 被引量: 11...
using the function representations of 3-layered neural networks and the traditional linear regression models is whether the nonlinear parameters associated with the basis functions exist or not, where these parameters play a role of varying the form of the basis so as to minimize the square error....
We propose a biased estimator-the conditional ridge-type estimator of regression coefficient in restricted linear regression model of nonhomogeneous equations.We show that it is superior to the restricted best linear unbiased estimator in terms of mean squares error and mean squares error matrix.关键...
MonitoringModelType.Regression 属性 参考 反馈 定义 命名空间: Azure.ResourceManager.MachineLearning.Models 程序集: Azure.ResourceManager.MachineLearning.dll 包: Azure.ResourceManager.MachineLearning v1.2.0-beta.3 重要 一些信息与预发行产品相关,相应产品在发行之前可能会进行重大修改。 对于此处提...
To bound the influence of a leverage point, generalised M-estimators have been suggested. However, the usual generalised M-estimator of regression has a breakdown point that is less than the inverse of its dimension. This paper shows that dimension-independent positive breakdown points can be attai...
The Cox regression model has been used extensively to analyze survival data. For data that consist of large numbers of small groups of correlated failure time observations, we show that the standard maximum partial likelihood estimate of the regression coefficient in the Cox model is still consistent...
We consider the problem of testing parametric assumptions in an inverse regression model with a convolution-type operator. An L^2-type goodness-of-fit test is proposed which compares the distance between a parametric and a nonparametric estimate of the regression function. Asymptotic normality of the...
attributes: { [key: string]: any }; } class Model<MD extends ModelData> { // stuff static type = 'abstract'; set(v: MD): this { // set value to v return this; // for chaining } } class Registry { private reg: { [key: string]: typeof Model }; add(M: typeof Model) {...