[图书][B] Statistics in toxicology using R

L Hothorn - 2016 - api.taylorfrancis.com
When you write a book on statistics in toxicology you are sitting on the fence: For statisticians
much is known (or at least not exciting), but a large number of toxicologists will be …

Fruit self-thinning: a trait to consider for genetic improvement of apple tree

JM Celton, JJ Kelner, S Martinez, A Bechti… - PLoS …, 2014 - journals.plos.org
In apple (Malus× domestica Borkh), as in many fruiting crops, fruit maintenance vs
abscission is a major criteria for production profitability. Growers routinely make use of …

A flexible bias correction method based on inconsistent estimators

Y Zhang, Y Ma, S Orso, M Karemera… - arXiv preprint arXiv …, 2022 - arxiv.org
An important challenge in statistical analysis lies in controlling the estimation bias when
handling the ever-increasing data size and model complexity. For example, approximate …

A comparison of some approximate confidence intervals for a single proportion for clustered binary outcome data

KK Saha, D Miller, S Wang - The international journal of biostatistics, 2016 - degruyter.com
Interval estimation of the proportion parameter in the analysis of binary outcome data arising
in cluster studies is often an important problem in many biomedical applications. In this …

Adjustment of measurements with multiplicative errors: error analysis, estimates of the variance of unit weight, and effect on volume estimation from LiDAR-type digital …

Y Shi, P Xu, J Peng, C Shi, J Liu - Sensors, 2014 - mdpi.com
Modern observation technology has verified that measurement errors can be proportional to
the true values of measurements such as GPS, VLBI baselines and LiDAR. Observational …

Improving prediction for potential spawning areas from a two-step perspective: A comparison of multi-model approaches for sparse egg distribution

Z Liu, Y Jin, L Yang, X Yuan, L Yan, Y Zhang… - Journal of Sea …, 2024 - Elsevier
Recently, much work has been put into improving species distribution models, especially for
systematic conservation planning for important ecosystems. Understanding fish spawning …

Least squares adjustment and accuracy estimation in multiplicative error models

SHI Yun - 西南交通大学学报, 2014 - xnjdxb.swjtu.edu.cn
To probe into the parameter estimation in multiplicative error models, three least squares
(LS) adjustment methods, ie, the LS method, the weighted LS method and the bias-corrected …

乘性误差模型平差理论研究进展概述

师芸, 徐培亮, 彭军还 - 工程勘察, 2014 - cqvip.com
传统的测量平差理论是在加性误差模型基础上发展起来, 其测量误差的统计特性与模型待估参数
无关. 然而, 现代对地观测技术已经清楚表明, 测量随机误差由独立于测量值的加性误差和与之 …

On variable selection in joint modeling of mean and dispersion

ER Pinto, LA Pereira - Brazilian Journal of Probability and …, 2021 - projecteuclid.org
The joint modeling of mean and dispersion (JMMD) provides an efficient method to obtain
useful models for the mean and dispersion, especially in problems of robust design …

Synergism of aromatic amines and benzo [a] pyrene in induction of Ah receptor-dependent genes

A Borza, S Plöttner, A Wolf, C Behm, S Selinski… - Archives of …, 2008 - Springer
Aromatic amines have been shown to cause bladder cancer. However, epithelial cells of the
urinary bladder, cells of origin of bladder cancer, may be exposed to numerous substances …