Results 251 to 260 of about 46,298 (299)
Extensions of multinomial processing tree models for continuous variables: A simulation study comparing parametric and non-parametric approaches. [PDF]
Gutkin A, Heck DW.
europepmc +1 more source
Evaluation of Swallowing and Tongue Strength Index in Patients With Temporomandibular Dysfunction: A Cross-Sectional Study. [PDF]
da Silva Germiniani J +8 more
europepmc +1 more source
Life at the extremes: maximally divergent microbes with similar genomic signatures linked to extreme environments. [PDF]
Safari M +4 more
europepmc +1 more source
Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets. [PDF]
Jin P, Yun Y, Kim I.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Data-Driven Nonparametric Hypothesis Testing
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018We investigate a nonparametric hypothesis testing problem, in which we assume a testing data stream is generated by one of a set of distributions (hypotheses), and the goal is to test which one of the multiple distributions generates the testing data stream, i.e., which hypothesis occurs.
Yixian Liu +2 more
exaly +2 more sources
A nonparametric hypothesis test for heteroscedasticity
Journal of Nonparametric Statistics, 2016ABSTRACTIn this paper, a hypothesis test for heteroscedasticity is proposed in a nonparametric regression model. The test statistic, which uses the residuals from a nonparametric fit of the mean function, is based on an adaptation of the well-known Levene's test.
Seonjin Kim
exaly +2 more sources
Nonparametric hypothesis testing for intensity of the poisson process
Mathematical Methods of Statistics, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu I Ingster +2 more
exaly +3 more sources
A nonparametric hypothesis test for heteroscedasticity in multiple regression
Canadian Journal of Statistics, 2017AbstractThis article presents a new method to test for heteroscedasticity in a general multiple nonparametric regression model. The test statistic is based on a high‐dimensional one‐way ANOVA constructed with the absolute value of the residuals, and its asymptotic distribution is derived under the null hypothesis of homoscedasticity and local ...
Seonjin Kim
exaly +3 more sources

