Results 71 to 80 of about 369,455 (188)

Goodness of fit tests for random multigraph models. [PDF]

J Appl Stat, 2023
Shafie T.
europepmc   +1 more source

Distribution-free tests of goodness of fit [PDF]

, 1966
Call number: LD2668 .R4 1966 ...
Rogers, John Marvin.
core  

Two-dimensional Kolmogorov-type Goodness-of-fit Tests Based on Characterizations and their Asymptotic Efficiencies

, 2015
In this paper new two-dimensional goodness of fit tests are proposed. They are of supremum-type and are based on different types of characterizations. For the first time a characterization based on independence of two statistics is used for goodness-of ...
Milošević, Bojana, Obradović, Marko
core   +1 more source

Goodness and Lack of Fit Tests to Pretest Normality when Comparing Means [PDF]

Operations Research and Decisions
Previous studies show that processes related to traditional pretests to prove the perfect fulfillment of assumptions in comparison means tests lead to severe alterations in the overall Type I error probability and power.
Pablo Flores, María de Lourdes Palacios
doaj  

Goodness-of-fit tests in proportional hazards models with random effects. [PDF]

Biom J, 2023
González-Manteiga W, Martínez-Miranda MD, Van Keilegom I.   +2 more
europepmc   +1 more source

Goodness-of-fit tests for correlated data [PDF]

Biometrika, 1975
Biometrika, 62 (3)
openaire   +4 more sources

Pearson's goodness-of-fit tests for sparse distributions. [PDF]

J Appl Stat, 2023
Chang S, Li D, Qi Y.
europepmc   +1 more source

A note on goodness of fit test using moments

Statistica, 2007
The purpose of this article is to introduce a general moment-based approach to derive formal goodness of fit tests of a parametric family. We show that, in general, an approximate normal test or a chi-squared test can be derived by exploring the moment ...
Alex Papadopoulos, Gang Li
doaj   +1 more source

Bayesian estimation of extropy and goodness of fit tests. [PDF]

J Appl Stat, 2022
Al-Labadi L, Berry S.
europepmc   +1 more source

The Q-Lindley Distribution: Goodness-of-Fit Tests, Modeling, Inference, and Applications

Journal of Statistical Theory and Applications (JSTA)
This paper introduces the Q-Lindley distribution (QLD), a new one-parameter model for lifetime and reliability data derived from the affine exponential family. We derive its main statistical properties and estimate the parameter using maximum likelihood.
Noureddine Saaidia, Reza Pakyari, Halim Zeghdoudi   +2 more
doaj   +1 more source