Results 61 to 70 of about 206,381 (135)
Goodness-of-Fit: An Economic Approach. [PDF]
Specific functional forms are often used in economic models of distributions; goodness-of-fit measures are used to assess whether a functional form is appropriate in the light of real-world data. Standard approaches use a distance criterion based on the EDF, an aggregation of differences in observed and theoretical cumulative frequencies.
Sanghamitra Bandyopadhyay +2 more
openaire +2 more sources
Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution
When modeling real-world data, we face the challenge of determining which probability distribution best represents the data. To address this intricate problem, we rely on goodness-of-fit tests.
Francisco Novoa-Muñoz +1 more
doaj +1 more source
Goodness-of-fit testing for meta-analysis of rare binary events. [PDF]
Zhang M, Xiao OY, Lim J, Wang X.
europepmc +1 more source
Goodness-of-Fit Tests via Entropy-Based Density Estimation Techniques
Goodness-of-fit testing remains a fundamental problem in statistical inference with broad practical importance. In this paper, we introduce two new goodness-of-fit tests grounded in entropy-based density estimation techniques.
Luai Al-Labadi, Ruodie Yu, Kairui Bao
doaj +1 more source
Goodness of fit test for uniform distribution with censored observation. [PDF]
Sreedevi EP, Kattumannil SK.
europepmc +1 more source
Goodness of fit tests for random multigraph models. [PDF]
Shafie T.
europepmc +1 more source
Power unit exponential probability distribution: Statistical inference and applications
We introduce a generalized version of a unit distribution called power unit exponential probability distribution (PUEPrD) using the power transformation of the unit exponential probability distribution.
Najwan Alsadat +5 more
doaj +1 more source
A new goodness-of-fit measure for probit models: Surrogate R2. [PDF]
Liu D, Zhu X, Greenwell B, Lin Z.
europepmc +1 more source
Goodness-of-fit tests in proportional hazards models with random effects. [PDF]
González-Manteiga W +2 more
europepmc +1 more source
Tangent exponential-G family of distributions with applications in medical and engineering
This study introduces a novel family of probability distributions called the ”tangent exponential-G family,” which is derived using trigonometric transformations of the exponential distribution.
Eslam Hussam +2 more
doaj +1 more source

