Results 111 to 120 of about 442,883 (292)
Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies [PDF]
A number of studies have explored the semi- and nonparametric estimation of stochastic frontier models by using kernel regression or other nonparametric smoothing techniques. In contrast to popular deterministic nonparametric estimators, these approaches
Kortelainen, Mika
core +1 more source
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin +14 more
wiley +1 more source
Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors
The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form.
Yossy Maynaldi Pratama +3 more
doaj +1 more source
Modeling collective rationality : an nonparametric test on experimental data. [PDF]
We provide a .first nonparametric (revealed preference) test of the collective consumption model on the basis of experimental data. By using nonparametric testing tools and experimental data, we avoid the usual problems associated with parametric tests ...
Bruyneel, Sabrina +2 more
core
Flow‐Induced Microdomain Alignment During Block Copolymer Graphoepitaxy
This study investigates block copolymer flow on topographical templates during solvent vapor annealing and how flow affects the orientation of self‐assembled microdomains. The temporal mapping between flows and microdomain orientation reveals an intriguing dependence of flow‐induced microdomain alignment on film thickness and trench depth, and provides
Baopu Zhang +5 more
wiley +1 more source
Nonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship.
Andre Fajry Al Barra +1 more
doaj +1 more source
Bayesian Analysis for Penalized Spline Regression Using WinBUGS [PDF]
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Ciprian M. Crainiceanu +2 more
core +1 more source
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva +28 more
wiley +1 more source
Local Nonlinear Least Squares Estimation: Using Parametric Information Nonparametrically [PDF]
We introduce a new kernel smoother for nonparametric regression that uses prior information on regression shape in the form of a parametric model. In effect, we nonparametrically encompass the parametric model. We derive pointwise and uniform consistency
Oliver Linton, Pedro Gozalo
core
Long‐Term Elevated CO2 Improves Soil Health and Rice Yields in Paddy Fields
Combining the two longest‐running rice free‐air CO2 enrichment experiments with a global data synthesis, this study demonstrates that long‐term elevated CO2 consistently enhances soil health. In rice paddies, this improvement sustains the CO2 fertilization effect over decades.
Fan Jiang +22 more
wiley +1 more source

