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14 784 (0,088s)

Result

Symetrical regression

Basic themes of document: Symetrical regression; RMA; orthogonal regression; inverse regression...

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • D
Result

On the equivalence between orthogonal regression and linear model with type-II constraints

Orthogonal regression, also known as the total least squares method, regression the orthogonal least squares, the least squares and the maximum likelihood methods for estimation of the orthogonal regre...

BA - Obecná matematika

  • 2011
  • Jx
Result

Factorial plans and their analysis

Advantage of regression models based on orthogonal factorial designs, statistical properties of regression parameters and regression diagnostics....

BB - Aplikovaná statistika, operační výzkum

  • 2011
  • D
Result

Statistical inference in orthogonal regression for three-part compositional data using a linear model with type-II constraints

Orthogonal regression is a proper tool to analyze relations between two variables when three-part compositional data, i.e. three-part observations carrying relative information (like proportions or percentages), are under examinatio...

BA - Obecná matematika

  • 2012
  • Jx
  • Link
Result

Comparison of nonlinear structure search by orthogonalization, PCA and stepwise regression

Tree structure identification and model reduction methods are presented and compared:forward regression by component orthogonalization, PCA (Principle Component Analysis) andstepwise regression. Ordinary least squares metho...

BC - Teorie a systémy řízení

  • 2004
  • D
Result

Classical and robust orthogonal regression between parts of compositional data

for an interpretation of the regression parameters in terms of the original parts. In this context, orthogonal regression is appropriate since all compositional parts - also the explanatory be included in a system of ortho...

BB - Aplikovaná statistika, operační výzkum

  • 2016
  • Jx
  • Link
Result

Improving linear orthogonal mapping based cross-lingual representation using ridge regression and graph centrality

Orthogonal linear mapping is a commonly used approach for generating cross, the existing frequency-aligned orthogonal mapping methods suffer from two problems - (i concerns, this paper proposes a novel centrality-aligned ridge r...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • JSC
  • Link
Result

Regression among parts of compositional data with an economic application

measurement errors, the use of ordinary least squares regression for parameter estimation would lead to biased results. Therefore, orthogonal regression is used leading, it is not appropriate to apply regression a...

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • D
Result

Interpretation of compositional regression with application to time budget analysis

Regression with compositional response or covariates, or even regression of regression analysis within the logratio methodology and apply them to reveal potential, orthogonal logratio coordinates have been introduc...

Statistics and probability

  • 2018
  • JSC
  • Link
Result

Interpretation of compositional regression with application to time budget analysis

Regression with compositional response or covariates, or even regression of regression analysis within the logratio methodology and apply them to reveal potential, orthogonal logratio coordinates have been introduc...

Statistics and probability

  • 2018
  • JSC
  • Link
  • 1 - 10 out of 14 784