Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests

QR Code

Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests

Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, machine learning and credit scoring. The receiver operating characteristic (ROC) curve is a useful tool to assess the ability of a diagnostic test to discriminate among two classes or groups. In pract...

Full description

Bibliographic Details
Main Authors:	Noryanti, Muhammad, Coolen-Maturi, Tahani, Coolen, Frank PA
Format:	Article
Language:	English
Published:	International Academic Press 2018
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/22880/ http://umpir.ump.edu.my/id/eprint/22880/1/SOIC-FC-1708.pdf

Similar Items

Nonparametric predictive inference for combining diagnostic tests with parametric copula
by: Noryanti, Muhammad, et al.
Published: (2017)

Nonparametric predictive inference with copulas for bivariate data
by: Noryanti, Muhammad, et al.
Published: (2023)

Predictive Inference for Bivariate Data with Nonparametric Copula
by: Noryanti, Muhammad, et al.
Published: (2016)

Nonparametric predictive inference with parametric copula for survival analysis
by: Noryanti, Muhammad, et al.
Published: (2018)

Predictive inference with copulas for bivariate data
by: Noryanti, Muhammad
Published: (2016)

Predicting forest fire spots using nonparametric predictive inference with parametric copula: Malaysia case study
by: Noryanti, Muhammad, et al.
Published: (2024)

Forecasting locations of forest fires in Indonesia through nonparametric predictive inference with parametric copula: A case study
by: Amirah Hazwani, Roslin, et al.
Published: (2025)

Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
by: Amirah Hazwani Roslin,, et al.
Published: (2025)

Nonparametric predictive inference forest fire dashboard
by: Amirah Hazwani, Roslin, et al.
Published: (2024)

An estimator for the new bivariate copula
by: Mah, Pauline Jin Wee, et al.
Published: (2016)

Parametric and nonparametric inference for partly interval-censored failure time data
by: Mohammad Alharpy, Azzah
Published: (2013)

Construction of a new bivariate copula based on Ruschendorf method
by: Jin, Pauline Wee Mah, et al.
Published: (2014)

Skew-t Copula
by: Roslinazairimah, Zakaria, et al.
Published: (2023)

Bayesian inference for the bivariate extreme model
by: Mohd Amin, Nor Azrita, et al.
Published: (2016)

Statistical modelling and inference for a class of bivariate and related distributions / Ng Choung Min
by: Ng, Choung Min
Published: (2010)

Bayesian nonparametric inference for stochastic epidemic models
by: Xu, Xiaoguang
Published: (2015)

Statistical modeling of gold price data using generalized extreme value distribution: an inference based on parametric and nonparametric bootstrap confidence interval
by: Ali, Norhaslinda, et al.
Published: (2024)

Parametric and nonparametric identification of shell and tube heat exchanger mathematical model
by: Mulyana, Tatang
Published: (2014)

Nonparametric series density estimation and testing
by: Marsh, Patrick
Published: (2018)

MAT264 / MSG264 – Nonparametric Statistics
by: PPSM, Pusat Pengajian Sains Matematik
Published: (2024)

Performance of parametric model for line transect data
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2020)

Detection of multiple outliners in linear regression using nonparametric methods
by: Adnan, Robiah
Published: (2004)

Nonparametric Kernel estimation of annual maximum stream flow quantiles.
by: Shabri, Ani
Published: (2002)

Match tests for nonparametric analysis of variance problems
by: Worthington, P.L.B.
Published: (1982)

Nonparametric hypothesis testing for equality of means on the simplex
by: Tsagris, Michail, et al.
Published: (2016)

A review on parametric and nonparametric empirical likelihood method based on interval-censored data
by: Zainudin, Norazelah, et al.
Published: (2014)

Nonparametric estimate based on imputations techniques for interval and partly interval censored data
by: Zyoud, Abdallah, et al.
Published: (2016)

Inference and diagnostics for generalized exponential distribution with fixed and time-dependent covariates and interval censored data
by: Al Hakeem, Hussein Ali Ghaffoori
Published: (2022)

A new one parameter family of Archimedean copula and its extensions / Azam Pirmoradian
by: Pirmoradian, Azam
Published: (2013)

Parametrization of the stochastic SIRD model for covid-19 outbreak using Markov chain Monte Carlo method
by: Muhammad Fahmi, Ahmad Zuber, et al.
Published: (2023)

Perspective Chapter: A New Bivariate Inverted Nakagami Distribution – Properties and Applications
by: Aliyu, Ismail Ishaq, et al.
Published: (2023)

Efficient identification scheme in standard model based on bivariate function hard problem
by: Tea, Boon Chian
Published: (2014)

Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system
by: Hamzah, Nur Atiqah
Published: (2018)

Modelling of extreme streamflow using copula
by: Buliah, Nur Amirah, et al.
Published: (2024)

Nonparametric specification tests for stochastic volatility models based on volatility density
by: Zu, Yang
Published: (2015)

Bayesian nonparametric clustering with Dirichlet process mixture model for mixed-type data
by: Burhanuddin, Nurul Afiqah
Published: (2024)

Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
by: Zu, Yang, et al.
Published: (2017)

Modelling rainfall duration and severity using copula.
by: Mah, Pauline Jin Wee, et al.
Published: (2013)

Nonparametric regression for correlated data.
by: Ibrahim, Noor Akma, et al.
Published: (2009)

Inter-relationship between Malaysian and selected stock markets in the Far East and New York: parametric versus nonparametric approach revisited
by: Othman Yong,
Published: (1993)