Detection of Outliers in the Response and Explanatory Variables of the Simple Circular Regression Model

doi 10.1063/1.4952561
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Author(s)

Related search

On Semiparametric Regression for Count Explanatory Variables

Journal of Statistical Planning and Inference
UncertaintyApplied MathematicsStatisticsProbability
2012English

Single-Linkage Method to Detect Multiple Outliers With Different Outlier Scenarios in Circular Regression Model

2019English

Table 1: Explanatory Variables Included in the Final Model.

English

Modified Standardized Pearson Residual for the Identification of Outliers in Logistic Regression Model

Journal of Applied Sciences
2013English

Table 1: Description of the Variables Used in the Regression Model.

English

The Transformation of Nigeria’s Industrial Sector: Some Explanatory Variables

International Journal of Human Resource Studies
2012English

Bias Correction of OLSE in the Regression Model With Lagged Dependent Variables

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2000English

Gaussian Process Regression With Multiple Response Variables

Chemometrics and Intelligent Laboratory Systems
Analytical ChemistryComputer Science ApplicationsProcess ChemistrySpectroscopyTechnologySoftware
2015English

Investigation of the Variables Affecting the Students’ Science Achievement With Multilevel Regression Model

Journal of Measurement and Evaluation in Education and Psychology
DevelopmentalEducationEducational Psychology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy