Results 61 to 70 of about 14,159 (246)

Better Nonlinear Models from Noisy Data: Attractors with Maximum Likelihood

, 1999
A new approach to nonlinear modelling is presented which, by incorporating the global behaviour of the model, lifts shortcomings of both least squares and total least squares parameter estimates.
E. Baake, E. J. Kostelich, G. Casella, H. Kantz, I. Gilmour, J. Timmer, L. A. Smith, L. A. Smith, L. A. Smith, L. Jaeger, Leonard A. Smith, M. Casdagli, M. Hénon, M. L. Berliner, P. A. P. Moran, P. Grassberger, Patrick E. McSharry, R. M. May, R. M. May, S. Van Huffel, T. Schreiber, W. E. Ricker, W. H. Press, W. Jansen, Å. Björck   +24 more
core   +2 more sources

Detection of human influence on a new, validated 1500-Year temperature reconstruction [PDF]

, 2007
Climate records over the last millennium place the twentieth-century warming in a longer historical context. Reconstructions of millennial temperatures show a wide range of variability, raising questions about the reliability of currently available ...
Allen, M., Crowley, T. J., Hegerl, G. C., Hyde, W. T., Pollack, H. N., Smerdon, J., Zorita, E.   +6 more
core   +2 more sources

Structural Damage Identification Based on AR Model with Additive Noises Using an Improved TLS Solution

Sensors, 2019
Structural damage is inevitable due to the structural aging and disastrous external excitation. The auto-regressive (AR) based method is one of the most widely used methods for structural damage identification. In this regard, the classical least-squares
Cai Wu, Shujin Li, Yuanjin Zhang
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Errors-in-Variables Anisotropic Extended Orthogonal Procrustes Analysis [PDF]

, 2017
This letter presents a novel total least squares (TLS) solution of the anisotropic row-scaling Procrustes problem. The ordinary LS Procrustes approach finds the transformation parameters between origin and destination sets of observations minimizing ...
Crosilla, Fabio, Fusiello, Andrea, Maset, Eleonora   +2 more
core   +1 more source

RSSI-Based Self-Localization with Perturbed Anchor Positions

, 2017
We consider the problem of self-localization by a resource-constrained mobile node given perturbed anchor position information and distance estimates from the anchor nodes. We consider normally-distributed noise in anchor position information.
Arablouei, Reza, Bergmann, Neil W., Jurdak, Raja, Kumar, Vikram, Kusy, Branislav   +4 more
core   +1 more source

Total Least Squares Estimation in Hedonic House Price Models

ISPRS International Journal of Geo-Information
In real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan, Yu Hu, Wenxian Zeng, Xing Fang, Xionghua Kang, Dawei Li   +5 more
doaj   +1 more source

Quadrature-Based Vector Fitting: Implications For H2 System Approximation

, 2014
Vector Fitting is a popular method of constructing rational approximants designed to fit given frequency response measurements. The original method, which we refer to as VF, is based on a least-squares fit to the measurements by a rational function ...
Beattie, Christopher, Drmac, Zlatko, Gugercin, Serkan   +2 more
core   +1 more source

Algorithms and statistical analysis for linear structured weighted total least squares problem

Geodesy and Geodynamics
Weighted total least squares (WTLS) have been regarded as the standard tool for the errors-in-variables (EIV) model in which all the elements in the observation vector and the coefficient matrix are contaminated with random errors.
Jian Xie, Tianwei Qiu, Cui Zhou, Dongfang Lin, Sichun Long   +4 more
doaj   +1 more source

Research on Evaporation Characteristics and Safe Storage Duration of Marine Liquid Hydrogen Storage Tanks Under the Coupling Effect of Heat Leakage and Sloshing

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Liquid hydrogen, a zero‐carbon and high–energy‐density fuel, is a promising option for future oceangoing vessels. During maritime transportation, onboard cryogenic tanks are exposed to ambient heat leakage and ship‐induced roll motion, which can trigger sloshing and fundamentally modify the coupled thermo‐fluid processes governing boil‐off and
Yan Deng, Wenfeng Wu, Zhenyu Zhao, Rongsheng Lin, Liangyi Sun, Youfei Liu   +5 more
wiley   +1 more source