A class of estimators of the parameters in linear regression with censored data. Acta Mathematicae Applicatae Sinica (English series) 3, 231-241.Zheng Z. A class of estimators of the parameter in linear regression with censored data[J]. Acta Mathmatic Applicatae sinica, 1987, (3) ,231 -24...
An empirical likelihood ratio test is developed for testing for or against inequality constraints on regression parameters in linear regression analysis. The proposed approach imposes no parametric model nor identically distributing assumption on the random errors. The asymptotic distribution of the proposed...
In this paper, we investigate a linear regression time series model of possibly outlier-afflicted observations and autocorrelated random deviations. This colored noise is represented by a covariance-stationary autoregressive (AR) process, in which the independent error components follow a scaled (Student...
1. 使用 TensorFlow 自动微分求解简单线性回归的参数(w, b) 1#载入库2importnumpy as np3importtensorflow as tf4importmatplotlib.pyplot as plt5plt.ion()678#定义损失函数为均方误差MSE=(sum(y-y0)^2)/n9defloss(y, y_pred):10#tf.reduce_mean 函数用于计算张量tensor沿着指定的数轴上的的平均值11return...
If the tree partition step results in a leaf node with the sum of instance weight less than min_child_weight, the building process gives up further partitioning. In linear regression models, this simply corresponds to a minimum number of instances needed in each node. The larger the algorithm...
LinearModelParameters Returns RegressionPredictionTransformer<PoissonRegressionModelParameters> Applies to ProductVersions ML.NET1.0.0, 1.1.0, 1.2.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0, 4.0.0, Preview In this article
This paper presents a physics-informed neural network (PINN) approach for monitoring the health of diesel engines. The aim is to evaluate the engine dynamics, identify unknown parameters in a “mean value” model, and anticipate maintenance requirements.
Various polygenic risk scores (PRS) methods have been proposed to combine the estimated effects of single nucleotide polymorphisms (SNPs) to predict genetic risks for common diseases, using data collected from genome-wide association studies (GWAS). Some
The simulation study evaluates a number of methods of estimating the RR parameter k that has recently been developed for use in linear regression analysis. The results from the simulation study show that there is at least one RR estimator that has a lower mean squared error (MSE) than the ...
The calculations were performed using scripts written in R2. Both simulated and experimental/calculated data were used to check the effect of allocation on validation and optimality parameters in the case of multivariate linear regression. 2.1. Simulated data Here we detail the calculation of the two...