Results 41 to 50 of about 14,713,155 (294)

Graph of type I vs type II error.

, 2013
The solid line indicates the false positive rate (FP, error type I), the dashed line the false negative rate (FN, error type II) and the dotted line represents the sum of false positive and false negative rates at each probability level.
Julio Wainstein (353211), Toni I. Pollin (110818), Benjamin Glaser (91118), Ilana Harman-Boehm (353214), Ardon Rubinstein (353212), Alexandra Katzenellenbogen (353208), Joseph Cohen (353216), Ilana Blech (91113), Mark Katzenellenbogen (265604)   +8 more
core   +1 more source

Error file

, 2023
<p>Error file</p ...
Error file, Error file
core   +1 more source

Noise Enhancement for Weighted Sum of Type I and II Error Probabilities with Constraints

Entropy, 2017
In this paper, the noise-enhanced detection problem is investigated for the binary hypothesis-testing. The optimal additive noise is determined according to a criterion proposed by DeGroot and Schervish (2011), which aims to minimize the weighted sum of ...
Shujun Liu, Ting Yang, Kui Zhang
doaj   +1 more source

Optimal Number of Failures in Type II Censoring for Rayleigh Distribution [PDF]

Journal of Applied Research on Industrial Engineering, 2017
Recently, Rayleigh distribution has received considerable attention in the statistical literature. This paper describes the Bayesian prediction of the ‎one parameter Rayleigh ‎‎distribution when the data are Type II censored data. Suppose we are planning
Elham Basiri
doaj   +1 more source

The average of the probabilities of Type I and Type II error, ω (a) and the cost-weighted probability of errors, ω_c (b).

, 2012
The combined probabilities of Type I and Type II error, ω (a), and the cost-weighted probability of errors, ωc (b). The α level at i) minimizes average error (assuming a Type I/Type II error cost ratio of 1), while the α level at ii) minimizes the cost ...
Joseph F. Mudge (180757), Leanne F. Baker (180762), Christopher B. Edge (180766), Jeff E. Houlahan (180772)   +3 more
core   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

New Inequalities of Simpson's Type for s-Convex Functions with Applications [PDF]

, 2009
In terms of the first derivative, some inequalities of Simpson’s type based on s-convexity and concavity are introduced. Best Midpoint type inequalities are given.
Dragomir, Sever S, Alomari, Mohammad, Darus, Maslina   +2 more
core   +3 more sources

The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison

PLoS ONE, 2022
This paper evaluates the performance of eight tests with null hypothesis of cointegration on basis of probabilities of type I and II errors using Monte Carlo simulations. This study uses a variety of 132 different data generations covering three cases of
Ahmet Faruk Aysan, Ibrahim Guney, Nicoleta Isac, Asad ul Islam Khan   +3 more
doaj   +2 more sources

Auditing standards reform in 2016 and going-concern audits

China Journal of Accounting Studies
This paper examines the issuance and accuracy of going-concern audit opinions after China’s auditing standards reform in 2016. We find that auditors are more likely to issue a going-concern opinion after the reform and Type II errors (retaining the false)
Yamin Zeng, Baochun Ma
doaj   +1 more source

BANKRUPTCY AND THE ALTMAN MODELS. CASE OF ALBANIA [PDF]

Annals of the University of Oradea: Economic Science, 2015
This paper examines the univariate models for predicting bankruptcy and the multivariate models of the best known researcher in this field, the Altman models, models that use the multivariate discriminant analysis.
Numani Eni
doaj