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 *

122 related articles for article (PubMed ID: 36420542)

  • 1. The balanced discrete triplet Lindley model and its INAR(1) extension: properties and COVID-19 applications.
    Shirozhan M; Mamode Khan NA; Kokonendji CC
    Int J Biostat; 2023 Nov; 19(2):489-516. PubMed ID: 36420542
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The balanced discrete Burr-Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications.
    Baladezaei SMH; Deiri E; Jamkhaneh EB
    J Appl Stat; 2024; 51(7):1227-1250. PubMed ID: 38835822
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inferential properties with a novel two parameter Poisson generalized Lindley distribution with regression and application to INAR(1) process.
    Irshad MR; D'cruz V; Maya R; Mamode Khan N
    J Biopharm Stat; 2023 May; 33(3):335-356. PubMed ID: 36662165
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling Medical Data by Flexible Integer-Valued AR(1) Process with Zero-and-One-Inflated Geometric Innovations.
    Mohammadi Z; Sajjadnia Z; Sharafi M; Mamode Khan N
    Iran J Sci Technol Trans A Sci; 2022; 46(3):891-906. PubMed ID: 35645547
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A first-order binomial-mixed Poisson integer-valued autoregressive model with serially dependent innovations.
    Chen Z; Dassios A; Tzougas G
    J Appl Stat; 2023; 50(2):352-369. PubMed ID: 36698548
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Statistical modelling of COVID-19 and drug data via an INAR(1) process with a recent thinning operator and cosine Poisson innovations.
    Mohammadi Z; Bakouch HS; Sharafi M
    Int J Biostat; 2023 Nov; 19(2):473-488. PubMed ID: 36302373
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A New First-Order Integer-Valued Autoregressive Model with Bell Innovations.
    Huang J; Zhu F
    Entropy (Basel); 2021 Jun; 23(6):. PubMed ID: 34199717
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Re-visiting the COVID-19 analysis using the class of high ordered integer-valued time series models with harmonic features.
    Khan NM; Soobhug AD; Youssef N; Fedally S; Nadarajah S; Heetun Z
    Healthc Anal (N Y); 2022 Nov; 2():100086. PubMed ID: 37520619
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A New Extension of Thinning-Based Integer-Valued Autoregressive Models for Count Data.
    Liu Z; Zhu F
    Entropy (Basel); 2020 Dec; 23(1):. PubMed ID: 33396549
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new approach to model the counts of earthquakes: INARPQX(1) process.
    Altun E; Bhati D; Khan NM
    SN Appl Sci; 2021; 3(2):274. PubMed ID: 33554048
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Generalized Poisson integer-valued autoregressive processes with structural changes.
    Zhang C; Wang D; Yang K; Li H; Wang X
    J Appl Stat; 2022; 49(11):2717-2739. PubMed ID: 35909669
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Re-analyzing the SARS-CoV-2 series using an extended integer-valued time series models: A situational assessment of the COVID-19 in Mauritius.
    Soobhug AD; Jowaheer H; Mamode Khan N; Reetoo N; Meethoo-Badulla K; Musango L; Kokonendji CC; Chutoo A; Aries N
    PLoS One; 2022; 17(2):e0263515. PubMed ID: 35134059
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A discrete mixed distribution: Statistical and reliability properties with applications to model COVID-19 data in various countries.
    Eliwa MS; Alhumaidan BT; Alqefari RN
    Math Biosci Eng; 2023 Feb; 20(5):7859-7881. PubMed ID: 37161176
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A New Discrete Analog of the Continuous Lindley Distribution, with Reliability Applications.
    Al-Babtain AA; Ahmed AHN; Afify AZ
    Entropy (Basel); 2020 May; 22(6):. PubMed ID: 33286375
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Generalization of the Lindley distribution with application to COVID-19 data.
    Rajitha CS; Akhilnath A
    Int J Data Sci Anal; 2022 Nov; ():1-21. PubMed ID: 36465699
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Some developments on seasonal INAR processes with application to influenza data.
    Almuhayfith FE; Okereke EW; Awale M; Bakouch HS; Alqifari HN
    Sci Rep; 2023 Dec; 13(1):22037. PubMed ID: 38086947
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A dependent counting INAR model with serially dependent innovation.
    Shirozhan M; Mohammadpour M
    J Appl Stat; 2021; 48(11):1975-1997. PubMed ID: 35706430
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new two-parameter exponentiated discrete Lindley distribution: properties, estimation and applications.
    El-Morshedy M; Eliwa MS; Nagy H
    J Appl Stat; 2020; 47(2):354-375. PubMed ID: 35706520
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new Lindley-Burr XII power series distribution: model, properties and applications.
    Makubate B; Gabanakgosi M; Chipepa F; Oluyede B
    Heliyon; 2021 Jun; 7(6):e07146. PubMed ID: 34189289
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Unit-Lindley mixed-effect model for proportion data.
    Akdur HTK
    J Appl Stat; 2021; 48(13-15):2389-2405. PubMed ID: 35707078
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.