Results 51 to 60 of about 9,151,209 (331)

Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model

Open Mathematics, 2019
In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model.
Xiang Xing, Liu Wanrong
doaj   +1 more source

A frequentist analysis of solar neutrino data [PDF]

, 2000
We calculate with Monte Carlo the goodness of fit and the confidence level of the standard allowed regions for the neutrino oscillation parameters obtained from the fit of solar neutrino data.
Abdurashitov, Akhmedov, Bahcall, Bahcall, Bilenky, Bilenky, C. Giunti, Caso, Chizhov, Chizhov, Cleveland, Cousins, de Gouvea, Eadie, Feldman, Fogli, Fogli, Fogli, Fogli, Fogli, Fogli, Friedland, Frodesen, Garzelli, Giunti, Giunti, Gonzalez-Garcia, Gonzalez-Garcia, Hampel, Kirsten, Krastev, Krastev, Krastev, Kuo, Liu, M.V. Garzelli, Mikheyev, Parke, Petcov, Petcov, Press, von Feilitzsch, Wolfenstein, Wolfenstein   +43 more
core   +3 more sources

Simultaneous confidence regions for multivariate bioequivalence [PDF]

Statistics in Medicine, 2017
Demonstrating bioequivalence of several pharmacokinetic (PK) parameters, such asAUCandCmax, that are calculated from the same biological sample measurements is in fact a multivariate problem, even though this is neglected by most practitioners and regulatory bodies, who typically settle for separate univariate analyses.
Philip Pallmann, Thomas Jaki
openaire   +4 more sources

On Double Value at Risk

Risks, 2019
Value at Risk (VaR) is used to illustrate the maximum potential loss under a given confidence level, and is just a single indicator to evaluate risk ignoring any information about income.
Wanbing Zhang, Sisi Zhang, Peibiao Zhao
doaj   +1 more source

A Unified Approach to the Classical Statistical Analysis of Small Signals [PDF]

, 1998
We give a classical confidence belt construction which unifies the treatment of upper confidence limits for null results and two-sided confidence intervals for non-null results. The unified treatment solves a problem (apparently not previously recognized)
B. A. Zhuang, B. J. Liu, B. S. Zou, B. X. Zhang, B. Y. Zhang, B. Zheng, B. Zhong, C. C. Zhang, C. D. Fu, C. L. Luo, C. L. Wei, C. S. Gao, C. X. Liu, C. X. Yu, C. Z. Yuan, D. H. Wei, D. H. Zhang, D. P. Jin, D. X. Zhao, F. C. Ma, F. Lu, Fang Liu, Feng Liu, G. F. Xu, G. L. Tong, G. Li, G. R. Lu, G. Rong, G. S. Huang, H. B. Li, H. B. Liu, H. F. Chen, H. L. Ma, H. M. Hu, H. M. Liu, H. Q. Zhang, H. Q. Zheng, H. S. Chen, H. S. Sun, H. X. Chen, H. X. Yang, H. Y. Sheng, H. Y. Zhang, J. B. Jiao, J. C. Chen, J. Chen, J. F. Qiu, J. Fang, J. G. Lu, J. Li, J. Liu, J. Nie, J. P. Liu, J. P. Tian, J. P. Zheng, J. W. Zhang, J. W. Zhao, J. Y. Zhang, J. Z. Bai, K. J. Zhu, K. L. He, L. An, L. L. Jiang, L. L. Wang, L. Li, L. S. Wang, L. Shang, L. Wang, L. Y. Shan, L. Zhou, M. Ablikim, M. G. Zhao, M. H. Ye, M. He, M. L. Yan, M. Q. A. Malik, M. Yang, N. D. Qi, N. Wu, null null, P. L. Wang, P. P. Zhao, P. Wang, Q. M. Ma, Q. M. Zhu, R. G. Liu, R. G. Ping, R. Y. Li, S. D. Gu, S. Jin, S. Liu, S. S. Sun, S. X. Du, T. Hu, W. D. Li, W. G. Li, X. B. Ji, X. Cai, X. D. Chen, X. D. Ruan, X. H. Mo, X. L. Li, X. M. Xia, X. N. Li, X. P. Xu, X. Q. Li, X. S. Jiang, X. T. Huang, X. Tang, X. W. Zhu, X. Wan, X. Y. Shen, X. Y. Zhang, Y. B. Chen, Y. Bai, Y. Ban, Y. F. Liang, Y. F. Wang, Y. K. Heng, Y. N. Gao, Y. N. Guo, Y. P. Chu, Y. P. Huang, Y. S. Dai, Y. S. Zhu, Y. T. Gu, Y. X. Yang, Y. X. Ye, Y. Xu, Y. Y. Zhang, Y. Yuan, Y. Z. Sun, Y. Zeng, Z. A. Liu, Z. A. Zhu, Z. J. Sun, Z. L. Zhu, Z. P. Mao, Z. P. Zhang, Z. P. Zheng, Z. Wang, Z. X. Zhang, Z. Y. Deng, Z. Y. Wang   +143 more
core   +2 more sources

Robust confidence regions for incomplete models [PDF]

Econometrica, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Larry G. Epstein, Hiroaki Kaido, Kyoungwon Seo   +2 more
openaire   +4 more sources

Confidence Intervals and Regions for the Generalized Inverted Exponential Distribution Based on Progressively Censored and Upper Records Data

Revstat Statistical Journal, 2019
In this paper, we study the estimation problems for the generalized inverted exponential distribution based on progressively type-II censored order statistics and record values.
Ismail Kınacı , Shuo-Jye Wu , Coşkun Kuş   +2 more
doaj   +1 more source

Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria

Entropy, 2021
A common concern with Bayesian methodology in scientific contexts is that inferences can be heavily influenced by subjective biases. As presented here, there are two types of bias for some quantity of interest: bias against and bias in favor.
Michael Evans, Yang Guo
doaj   +1 more source

On the statistical evaluation of dose-response functions [PDF]

, 1974
The linear-quadratic dependence of effect on the dose of ionizing radiation and its biophysical implications are considered. The estimation of the parameters of the response function and the derivation of the joint confidence region of the estimates are ...
A. D. Conger, A. H. Sparrow, A. M. Kellerer, A. M. Kellerer, D. E. Lea, E. J. Hall, E. J. Hall, E. S. Pearson, H. H. Rossi, H. H. Rossi, J. Brenot, J. Read, O. Hug, S. Wolff, W. K. Sinclair   +14 more
core   +1 more source

Confidence Region of Singular Subspaces for Low-Rank Matrix Regression

IEEE Transactions on Information Theory, 2018
Low-rank matrix regression refers to the instances of recovering a low-rank matrix based on specially designed measurements and the corresponding noisy outcomes.
Dong Xia
semanticscholar   +1 more source