scholarly journals A Multi-Step Kernel – Based Regression Estimator That Adapts to Error Distributions of Unknown Form

2020 ◽  
Author(s):  
Jan G. De Gooijer ◽  
Hugo Reichardt
Keyword(s):  
Regression Estimator ◽  
Error Distributions ◽  
Unknown Form

scholarly journals A NONPARAMETRIC REGRESSION ESTIMATOR THAT ADAPTS TO ERROR DISTRIBUTION OF UNKNOWN FORM

2007 ◽  
Vol 23 (03) ◽  
Author(s):  
Oliver Linton ◽  
Zhijie Xiao
Keyword(s):  
Nonparametric Regression ◽  
Error Distribution ◽  
Regression Estimator ◽  
Unknown Form

A Review on the Biasing Parameters of Ridge Regression Estimator in LRM

2014 ◽  
Vol 3 (1) ◽  
pp. 73-82
Author(s):  
Madhulika Dube ◽  
Isha Isha
Keyword(s):  
Ridge Regression ◽  
Regression Estimator ◽  
Ridge Regression Estimator

scholarly journals Efficient long-range conduction in cable bacteria through nickel protein wires

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Henricus T. S. Boschker ◽  
Perran L. M. Cook ◽  
Lubos Polerecky ◽  
Raghavendran Thiruvallur Eachambadi ◽  
Helena Lozano ◽  
...  
Keyword(s):  
Electron Transport ◽  
Long Range ◽  
Cell Envelope ◽  
Protein Structures ◽  
Chemical Imaging ◽  
Electrical Currents ◽  
Core Proteins ◽  
Active Metal ◽  
Unknown Form ◽  
High Resolution Microscopy

AbstractFilamentous cable bacteria display long-range electron transport, generating electrical currents over centimeter distances through a highly ordered network of fibers embedded in their cell envelope. The conductivity of these periplasmic wires is exceptionally high for a biological material, but their chemical structure and underlying electron transport mechanism remain unresolved. Here, we combine high-resolution microscopy, spectroscopy, and chemical imaging on individual cable bacterium filaments to demonstrate that the periplasmic wires consist of a conductive protein core surrounded by an insulating protein shell layer. The core proteins contain a sulfur-ligated nickel cofactor, and conductivity decreases when nickel is oxidized or selectively removed. The involvement of nickel as the active metal in biological conduction is remarkable, and suggests a hitherto unknown form of electron transport that enables efficient conduction in centimeter-long protein structures.

Etruscan Affinities in a Ras Shamra Tablet

1932 ◽  
Vol 64 (1) ◽  
pp. 43-46
Author(s):  
A. H. Sayce
Keyword(s):  
Unknown Form ◽  
Ras Shamra

Among the tablets found by the French excavators at Ras Shamra, south of Antioch, written in the alphabetic cuneiform script and published by M. Virolleaud (Syria, x, 1929), there is one (No. 4) which has been omitted by Père Dhorme in his brilliant article on the transliteration and translation of the texts in the Revue Biblique, xiv, 1 (Jan., 1931). The reason for the omission is that the language of the text is not Phœnician, but an unknown form of speech. The text itself is a fairly long one, and is divided into short paragraphs, the separate words being also divided from one another as in the Phœnician texts.

Tests for regression models with heteroskedasticity of unknown form

2006 ◽  
Vol 50 (10) ◽  
pp. 2715-2733 ◽  
Author(s):  
L.G. Godfrey
Keyword(s):  
Regression Models ◽  
Unknown Form

Incorporating predictions into an annual forest inventory

1996 ◽  
Vol 26 (9) ◽  
pp. 1709-1713 ◽  
Author(s):  
Paul C. Van Deusen
Keyword(s):  
Forest Inventory ◽  
Variance Components ◽  
Growth Modeling ◽  
Estimation Procedure ◽  
Regression Estimator ◽  
Forest Types ◽  
Model Estimate ◽  
Individual Tree ◽  
Time Period ◽  
The Individual

Growth modeling of forests at the individual tree and stand levels is a highly refined procedure for many forest types. A method to incorporate predictions from such models into a forest inventory system is developed. Variance components from the actual measurements and from the predicted measurements are used to estimate the variance of the combined predicted value. The only assumption required to justify this method is that the model estimate has a bias that does not change from one time period to the next. The estimation procedure proposed here can also incorporate remotely sensed information via a regression estimator.

Testing for Latent Factors in Models with Autocorrelation and Heteroskedasticity of Unknown Form

2005 ◽  
Vol 72 (1) ◽  
pp. 236-252
Author(s):  
Scott Gilbert ◽  
Petr Zemčík
Keyword(s):  
Latent Factors ◽  
Unknown Form
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