Results 121 to 130 of about 8,828,165 (258)
Mining activities may cause severe ground subsidence, endangering surface structures, and farmlands. Therefore, the acquisition of spatial-temporal evolution of the mining goaf is of great significance. Hotspot analysis (HSA) based on the Getis-Ord G$_{i}
Lu Li +5 more
doaj +1 more source
Asymptotics of Least Trimmed Squares Regression [PDF]
High breakdown-point regression estimators protect against large errors both in explanatory and dependent variables.The least trimmed squares (LTS) estimator is one of frequently used, easily understandable, and thoroughly studied (from the robustness ...
Cizek, P.
core
Geographic Patterns of Head Morphology in Syngnathus typhle Across Marine Regions
Morphometric analysis of Syngnathus typhle head shape shows distinct geographic patterns across Baltic, North, Atlantic, and Mediterranean marine regions, driven by variation in snout length, head depth, and eye position. Findings provide a non‐invasive baseline for conservation monitoring.
Miriam Ravisato +16 more
wiley +1 more source
Lacustrine forms of Triglopsis from North American and European lakes are at different stages of evolution, making them a suitable model for testing hypotheses about evolutionary patterns and rates. An integrative analysis of morphological, genetic, and biological adaptations occurring in lacustrine forms of the genus Triglopsis was carried out.
Valentina G. Sideleva +4 more
wiley +1 more source
Convex Total Least Squares [PDF]
We study the total least squares (TLS) problem that generalizes least squares regression by allowing measurement errors in both dependent and independent variables. TLS is widely used in applied fields including computer vision, system identification and
Slavov, Nikolai G +1 more
core
A Deep Model Framework for Morphological Trait Imputation Across Taxonomic Groups
The model first applies a correlation‐based feature selection module to filter redundant predictors, enhancing stability and interpretability. ABSTRACT Incomplete morphological trait data pose major hurdles for trait‐based analyses, particularly when missing values, multicollinearity, and sparse sampling constrain inference.
Yuang Wang +11 more
wiley +1 more source
Abstract Tree crowns are complex, three‐dimensional structures whose morphology varies among species, individuals and environments. Although light detection and ranging (LiDAR) provides high‐resolution, single‐tree point clouds that advance species discrimination and the assessment of intraspecific variation in situ, crown shape is still commonly ...
Ladislav Hodač +5 more
wiley +1 more source
ABSTRACT The hypotheses of Senonian flint to be a prime source of prehistoric “chalcedony” flint artefacts from the Negev Desert (Israel) was not investigated in detail thus far. By combining trace‐element profiling with statistical interpretation, ten flint items from Nahal Zahal, an Early Pre‐Pottery Neolithic B site in the northern Negev, were ...
Meir Finkel +5 more
wiley +1 more source
Consistent estimation in the bilinear multivariate errors-in-variables model
A bilinear multivariate errors-in-variables model is considered. It corresponds to an overdetermined set of linear equations AXB=C, A?Rm×n, B?Rp×q, in which the data A, B, C are perturbed by errors.
Van Huffel, S. +2 more
core +1 more source
TLS(Total Least Squares)法を用いた航空機の空力微係数の推定
目的変数が説明変数と未知係数の積で表される線形モデル方程式を考える。最小2乗法は目的変数のみに計測誤差が含まれると仮定して未知係数を推定する手法であるが、説明変数に計測誤差が含まれる場合、最小2乗法で求めた係数はバイアス誤差を含み、係数の標準偏差は実際より小さく推定される。TLS(全体最小2乗)法は、説明変数および目的変数の双方に計測誤差が含まれると仮定して、未知係数を求める手法である。TLS法は最小2乗法を一般化したものといえる。TLS法によって推定された係数はバイアス誤差を含まず、係数の標準偏差も正しく推定される。本報告書では、まず、TLS法の概念、計算アルゴリズムおよび特性を示し、最小2乗法と比較する。次に、飛行試験データからのTLS法による空力微係数の推定例を示す。 This report ...
openaire +1 more source

