Results 111 to 120 of about 3,968,586 (305)

Reply to Comment on “Five Decades of Observed Daily Precipitation Reveal Longer and More Variable Drought Events Across Much of the Western United States”

Geophysical Research Letters
Paciorek and Wehner raise important questions around our use of the Mann‐Kendall nonparametric trend test on smoothed data for analyzing long‐term hydrometeorological trends in Zhang et al. (2021, https://doi.org/10.1029/2020gl092293).
Joel A. Biederman, Fangyue Zhang, Matthew P. Dannenberg, Dong Yan, Sasha C. Reed, William K. Smith   +5 more
doaj   +1 more source

DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS [PDF]

We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Emmanuel Guerre, Pascal Lavergne
core  

14‐3‐3γ Protects Against Postoperative Cognitive Dysfunction by Regulating Tau Thr205 Phosphorylation and Synaptic Integrity

Advanced Science, EarlyView.
Integrative multi‐cohort analyses identify 14‐3‐3γ as a biomarker and regulator of cognitive vulnerability. Experimental studies show that 14‐3‐3γ loss is associated with Tau Thr205 phosphorylation, synaptic dysfunction, and cognitive impairment, while genetic overexpression or pharmacological stabilization of 14‐3‐3γ confers protective effects in ...
Shouqiang Zhu, Xue Han, Heng Zhang, Chang Ye, Tianjiao Xia, Xiaoping Gu   +5 more
wiley   +1 more source

A Comparison of Methods for Poisson Regression in the Presence of Background

The Astrophysical Journal
This paper provides a statistical analysis of three common methods of regression for Poisson data in the presence of Poisson background, namely the joint fit with two parametric models for the source and the background, the use of a nonparametric model ...
Massimiliano Bonamente, Vinay Kashyap, Xiaoli Li, Jelle de Plaa   +3 more
doaj   +1 more source

Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative [PDF]

, 2009
This paper is concerned with inference about a function g that is identified by a conditional quantile restriction involving instrumental variables. The paper presents a test of the hypothesis that g belongs to a finite-dimensional parametric family ...
Horowitz, JL, Lee, S
core  

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source

WGM Single‐Molecule Validation of pH‐Dependent Molecular Energetics at Gold Nanointerfaces: Influence of Buffer Molecules on Glyphosate Ligand Binding

Advanced Science, EarlyView.
Single‐molecule optical sensing reveals how pH and buffer molecules regulate glyphosate interactions with gold nanorods. Combined experiments and theoretical calculations show that changes in molecular charge and competition from buffer species determine whether glyphosate binds transiently or persistently.
Kulathunga Mudalige Kalani Perera, Srikanth Pedireddy, Sivaraman Subramanian, Frank Vollmer   +3 more
wiley   +1 more source

Developing Highly Effective Nanoparticle mRNA Therapeutic for Pediatric Acute Respiratory Distress Syndrome

Advanced Science, EarlyView.
Sepsis‑induced pediatric acute respiratory distress syndrome suppresses FOXF1 in lung endothelial cells which causes life‐threatening lung damage. To counter this, researchers developed nanoparticles that specifically target these cells and deliver FOXF1 mRNA.
Zicheng Deng, Wen Gao, Jonathan Do, Danli Lu, Ying‐Wei Lan, Andreas Damianos, Gautam Verma, Ali Al Siraj, Isabella Lowry, Lance Peter, Nicholas E. Banovich, Fei Sun, Hua He, Tanya V. Kalin, Vladimir V. Kalinichenko   +14 more
wiley   +1 more source

Statistical inference methods for n‐dimensional hypervolumes: Applications to niches and functional diversity

Methods in Ecology and Evolution
The size and shape of niche spaces or trait spaces are often analysed using hypervolumes estimated from data. The hypervolume R package has previously supported such analyses via descriptive but not inferential statistics. This gap has limited the use of
Daniel Chen, Alex Laini, Benjamin Wong Blonder   +2 more
doaj   +1 more source

Modified Randomization Tests for Nonparametric Hypotheses

The Annals of Mathematical Statistics, 1957
Suppose $X_1, \cdots, X_m, Y_1, \cdots, Y_n$ are $m + n = N$ independent random variables, the $X$'s identically distributed and the $Y$'s identically distributed, each with a continuous cdf. Let $$z = (z_1, \cdots, z_m, z_{m + 1}, \cdots, z_N) = (x_1, \cdots, x_m, y_1, \cdots, y_n)$$ represent an observation on the $N$ random variables and let $$u(z) =
openaire   +3 more sources