These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 32256183)

  • 1. Loss functions in restricted parameter spaces and their Bayesian applications.
    Mozgunov P; Jaki T; Gasparini M
    J Appl Stat; 2019; 46(13):2314-2337. PubMed ID: 32256183
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein's Loss.
    Zhang YY; Rong TZ; Li MM
    Front Big Data; 2021; 4():763925. PubMed ID: 35047768
    [TBL] [Abstract][Full Text] [Related]  

  • 3. E-Bayesian Estimation of Chen Distribution Based on Type-I Censoring Scheme.
    Algarni A; Almarashi AM; Okasha H; Ng HKT
    Entropy (Basel); 2020 Jun; 22(6):. PubMed ID: 33286408
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian Estimation of Different Scale Parameters Using a LINEX Loss Function.
    Mohammed MA; Al-Aziz SN; Al Sumati EMA; Mahmoud EE
    Comput Intell Neurosci; 2022; 2022():4822212. PubMed ID: 35535185
    [TBL] [Abstract][Full Text] [Related]  

  • 5. E-Bayesian and Bayesian Estimation for the Lomax Distribution under Weighted Composite LINEX Loss Function.
    Al-Bossly A
    Comput Intell Neurosci; 2021; 2021():2101972. PubMed ID: 34931123
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model.
    Jana N; Bera S
    J Appl Stat; 2022; 49(1):169-194. PubMed ID: 35707805
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the improved estimation of a function of the scale parameter of an exponential distribution based on doubly censored sample.
    Patra LK
    J Appl Stat; 2020; 47(9):1637-1651. PubMed ID: 35707581
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices.
    Yang CH; Doss H; Vemuri BC
    J Am Stat Assoc; 2024; 119(545):259-272. PubMed ID: 38590837
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical inference based on generalized Lindley record values.
    Singh S; Dey S; Kumar D
    J Appl Stat; 2020; 47(9):1543-1561. PubMed ID: 35707579
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ridge Regression Method and Bayesian Estimators under Composite LINEX Loss Function to Estimate the Shape Parameter in Lomax Distribution.
    Yassen MF; Al-Duais FS; Almazah MMA
    Comput Intell Neurosci; 2022; 2022():1200611. PubMed ID: 36072714
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of the Reliability of a Stress-Strength System from Poisson Half Logistic Distribution.
    Muhammad I; Wang X; Li C; Yan M; Chang M
    Entropy (Basel); 2020 Nov; 22(11):. PubMed ID: 33287072
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An algebraic aspect of Pareto mixture parameter estimation using censored sample: A Bayesian approach.
    Saleem M; Sharif K; Fahmi A
    J Integr Neurosci; 2018; 17(3-4):463-477. PubMed ID: 29710728
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian and non-Bayesian inference under adaptive type-II progressive censored sample with exponentiated power Lindley distribution.
    Haj Ahmad H; Salah MM; Eliwa MS; Ali Alhussain Z; Almetwally EM; Ahmed EA
    J Appl Stat; 2022; 49(12):2981-3001. PubMed ID: 36035610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring.
    Helu A; Samawi H
    PLoS One; 2022; 17(5):e0267981. PubMed ID: 35551550
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso.
    van der Laan M
    Int J Biostat; 2017 Oct; 13(2):. PubMed ID: 29023235
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian and maximum likelihood estimations of the Dagum parameters under combined-unified hybrid censoring.
    Emam W; S Sultan K
    Math Biosci Eng; 2021 Mar; 18(3):2930-2951. PubMed ID: 33892578
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian and E-Bayesian Estimations of Bathtub-Shaped Distribution under Generalized Type-I Hybrid Censoring.
    Zhang Y; Liu K; Gui W
    Entropy (Basel); 2021 Jul; 23(8):. PubMed ID: 34441073
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian estimation of the parameter of Maxwell-Mukherjee Islam distribution using assumptions of the Extended Jeffrey's, Inverse-Rayleigh and Inverse-Nakagami priors under the three loss functions.
    Ishaq AI; Abiodun AA; Falgore JY
    Heliyon; 2021 Oct; 7(10):e08200. PubMed ID: 34729436
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Shrinkage estimation of non-negative mean vector with unknown covariance under balance loss.
    Karamikabir H; Afshari M; Arashi M
    J Inequal Appl; 2018; 2018(1):331. PubMed ID: 30839820
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Empirical Squared Hellinger Distance Estimator and Generalizations to a Family of
    Ding R; Mullhaupt A
    Entropy (Basel); 2023 Apr; 25(4):. PubMed ID: 37190400
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.