Results 11 to 20 of about 63,550 (174)

Least Trimmed Squares [PDF]

, 2000
Least trimmed squares (LTS) is a statistical technique for estimation of unknown parameters of a linear regression model and provides a “robust” alternative to the classical regression method based on minimizing the sum of squared residuals.
Čížek, Pavel, Víšek, Jan Ámos
openaire   +5 more sources

Reweighted Least Trimmed Squares: An Alternative to One-Step Estimators [PDF]

SSRN Electronic Journal, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cizek, P.
openaire   +8 more sources

Asymptotics of Least Trimmed Squares Regression [PDF]

SSRN Electronic Journal, 2004
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 point of view) high breakdown-point estimators.In spite of its increasing popularity and number of ...
Cizek, P.
openaire   +6 more sources

Perbandingan Model Regresi Robust Estimasi M Dan Estimasi Least Trimmed Squares (LTS) Pada Jumlah Kasus Tuberkulosis Di Indonesia

Kontinu: Jurnal Penelitian Didaktik Matematika, 2020
Tuberkulosis merupakan suatu penyakit menular yang disebabkan oleh bakteri Mycobacterium tuberculosis. Tuberkulosis sendiri menjadi salah satu penyakit yang menjadi perhatian dunia karena menjadi 10 penyebab kematian tertinggi di dunia pada tahun 2015 ...
Dina Rohmah, Yuliana Susanti, Etik Zukhronah   +2 more
doaj   +1 more source

Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning

Remote Sensing, 2022
The convergence diameter of shield tunnels is detected by ellipse fitting or local curve fitting to cross-section points. However, the tunnel section, which is extruded by an external force, has an irregular elliptical shape, and the waist of the tunnel ...
Lei Xu, Jian Gong, Jiaming Na, Yuanwei Yang, Zhao Tan, Norbert Pfeifer, Shunyi Zheng   +6 more
doaj   +1 more source

UV3D: Underwater Video Stream 3D Reconstruction Based on Efficient Global SFM

Applied Sciences, 2022
With the increasing demand for underwater resource exploration, three-dimensional (3D) reconstruction technology is important for searching for lost underwater civilizations, underwater shipwrecks, or seabed structures.
Yanli Chen, Qiushi Li, Shenghua Gong, Jun Liu, Wenxue Guan   +4 more
doaj   +1 more source

Robust trimmed regression for heavy-tailed stable data: Competing methods and order statistics [PDF]

AUT Journal of Mathematics and Computing
Robust regression methods including, least trimmed squares, are among the most important methodologies for computing exact coefficient estimators when data is polluted with outliers.
Mohammad Bassam Shiekh Albasatneh, Omid Naghshineh Arjmand   +1 more
doaj   +1 more source

Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture

ISPRS International Journal of Geo-Information, 2021
Soil Moisture Deficit (SMD) is a key indicator of soil water content changes and is valuable to a variety of applications, such as weather and climate, natural disasters, agricultural water management, etc.
Prashant K. Srivastava, George P. Petropoulos, Rajendra Prasad, Dimitris Triantakonstantis   +3 more
doaj   +1 more source

Robust artificial neural networks and outlier detection. Technical report [PDF]

, 2011
Large outliers break down linear and nonlinear regression models. Robust regression methods allow one to filter out the outliers when building a model.
Andrei Kelarev, Cederman D, Gleb Beliakov, Huber PJ, John Yearwood, Makela MM, Mammadov MA, Masters T, Powell MJD, Press AH, Rousseeuw PJ, Rusiecki A, Sengupta S, Smola AJ   +13 more
core   +3 more sources

Estimasi Nonlinear Least Trimmed Squares (NLTS) pada Model Regresi Nonlinier yang Dikenai Outlier

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2015
Constant Elasticity of Substitution (CES) production function is the intrinsic nonlinear regression models that are often used to estimate the data in an industry.
Nur Laili Arofah, Sri Harini
doaj   +1 more source