Results 161 to 170 of about 816,450 (327)
Testing of hypothesis o f random variables independence on the basis of nonparametric algorithm of pattern recognition [PDF]
В. А. Лапко +2 more
openalex +1 more source
Objective Amyotrophic lateral sclerosis (ALS) has a very specific neuroimaging signature, but the molecular underpinnings of the strikingly selective anatomic involvement have not elucidated to date. Accordingly, a large neuroimaging study was conducted with 258 participants to evaluate associations between patterns of neurodegeneration and focal ...
Marlene Tahedl +10 more
wiley +1 more source
Adaptive and spatially adaptive testing of a nonparametric hypothesis
The present paper continues studying the problem of nonparametric hypothesis testing started in Lepski and Spokoiny, 1995 and Spokoiny, 1995. Let a function ƒ be observed with noise. A null simple hypothesis ƒ ≡ ƒ0 is tested against a composite alternative of the form ƒ- ƒ0 r ≥ ᵨ.
openaire +3 more sources
Objective Whether cognitive decline in patients with Parkinson's disease (PD) carrying GBA1 variants is accelerated after subthalamic deep brain stimulation (STN‐DBS) remains controversial. Clarifying long‐term cognitive outcomes is essential for informed decision making.
Moritz A. Loeffler +8 more
wiley +1 more source
Objective Carpal tunnel syndrome (CTS) can drastically impair one's ability to work and interferes with activities of daily living. We recently demonstrated that, in rodents, conditioning electrical stimulation (CES) delivered to the nerve 7 days prior to surgery imparts a conditioning lesion‐like effect by accelerating the rate of regeneration along ...
Yusuke Osaki +19 more
wiley +1 more source
npExact: Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality [PDF]
Oliver Reiter, Karl H. Schlag
openalex +1 more source
Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics [PDF]
Anton Alyakin +3 more
openalex +1 more source
A nonparametric adjustment for tests of changing mean [PDF]
When testing for a change in mean of a time series, the null hypothesis is no change in mean. However, a change in mean causes a bias in the estimation of serial correlation parameters.
Ted Juhl
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