Results 121 to 130 of about 249,301 (292)
Goodness-of-Fit Tests via Entropy-Based Density Estimation Techniques
StatsGoodness-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]
J Korean Stat Soc, 2023 Sreedevi EP, Kattumannil SK.
europepmc +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley +1 more source
Two generator game: Learning to sample via linear goodness-of-fit test
, 2019 Learning the probability distribution of high-dimensional data is a challenging problem. To solve this problem, we formulate a deep energy adversarial network (DEAN), which casts the energy model learned from real data into an optimization of a goodness ...
Li, Yu +6 more
core
Model Goodness of Fit statistics.
, 2016 Model Goodness of Fit statistics.
Mercilene T. Machisa (3176862) +2 more
core +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
Goodness-of-fit tests based on $K_\phi$-divergence
, 2003 summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodness-of-fit under composite null hypotheses are considered.
Pérez, Teresa +2 more
core +1 more source
Goodness of fit tests for random multigraph models. [PDF]
J Appl Stat, 2023 Shafie T.
europepmc +1 more source
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
Improved goodness-of-fit measures [PDF]
, 2015 New goodness-of-fit measures which are significant improvements on existing measures are described. They use the intuitive geometrical concept of the area enclosed by the curve of a fitted distribution and the profile of the empirical cumulative ...
Mitic, P
core