Results 71 to 80 of about 62,585 (293)
Estimation from quantized Gaussian measurements: when and how to use dither [PDF]
, 2019 Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely quantized signals. However, estimation from dithered measurements often naively applies the sample mean or midrange, even when the total noise ...
Dawson, Robin M. A. +2 more
core +2 more sources
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
پژوهشهای ریاضی, 2018 Introduction In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information).
azadeh kiapour
doaj
META-R: A software to analyze data from multi-environment plant breeding trials
Crop Journal, 2020 META-R (multi-environment trial analysis in R) is a suite of R scripts linked by a graphical user interface (GUI) designed in Java language. The objective of META-R is to accurately analyze multi-environment plant breeding trials (METs) by fitting mixed ...
Gregorio Alvarado +7 more
doaj +1 more source
A Lower Bound on the Estimator Variance for the Sparse Linear Model
, 2010 We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise. Using the reproducing kernel Hilbert space framework, we derive a new lower bound on
Ben-Haim, Zvika +4 more
core +1 more source
On the Estimation of Nonrandom Signal Coefficients from Jittered Samples [PDF]
, 2010 This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive iid Gaussian noise, where the signal lies in the span of a finite basis.
Goyal, Vivek K, Weller, Daniel S.
core +5 more sources
Advanced Science, EarlyView.Nuclear metabolism oscillates during cell cycle progression. Quantitative chromatome proteomics and imaging reveal phase‐specific dynamics of PIP5K1A and nuclear PIP2, linking phosphatidylinositol metabolism to histone methylation. This work identifies nuclear lipid metabolism as a previously unrecognized regulatory axis coordinating chromatin ...
Antoni Gañez‐Zapater +13 more
wiley +1 more source
Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model
StatsIn the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Hina Naz +3 more
doaj +1 more source
Small Area Shrinkage Estimation
, 2012 The need for small area estimates is increasingly felt in both the public and private sectors in order to formulate their strategic plans. It is now widely recognized that direct small area survey estimates are highly unreliable owing to large standard ...
Datta, G., Ghosh, M.
core +1 more source
Advanced Science, EarlyView.Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source