Nedret Billor
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Turkish statistician
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Nedret Billormathematics Degrees
Mathematics
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Statistics
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Mathematics
Nedret Billor's Degrees
- PhD Statistics University of California, Berkeley
- Masters Statistics Middle East Technical University
- Bachelors Mathematics Middle East Technical University
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Why Is Nedret Billor Influential?
(Suggest an Edit or Addition)According to Wikipedia, Nedret Billor is a Turkish statistician known for her work on robust statistics and outlier detection. She is a professor of statistics at Auburn University. Education and career Billor graduated from Ankara University in 1983, and earned a master's degree at Çukurova University in 1985. She completed a Ph.D. in statistics at the University of Sheffield in 1992; her dissertation, Diagnostic Methods in Ridge Regression and Errors-in-variables Model, was supervised by Robert Loynes.
Nedret Billor's Published Works
Published Works
- BACON: blocked adaptive computationally efficient outlier nominators (2000) (493)
- Impact of deciduous tree species on litterfall quality, decomposition rates and nutrient circulation in pine stands (2007) (120)
- Local influence: a new approach (1993) (60)
- Functional outlier detection with robust functional principal component analysis (2012) (54)
- Comparison of standard maximum likelihood classification and polytomous logistic regression used in remote sensing (2013) (50)
- Evaluation of medication therapy management services for patients with cardiovascular disease in a self-insured employer health plan. (2013) (47)
- Prevention of Trastuzumab and Anthracycline-induced Cardiotoxicity Using Angiotensin-converting Enzyme Inhibitors or &bgr;-blockers in Older Adults With Breast Cancer (2017) (36)
- Robust Liu estimator for regression based on an M-estimator (2000) (35)
- Evolution of CIR storm on 22 July 2009 (2012) (31)
- A Distribution-Free Multivariate Phase I Location Control Chart for Subgrouped Data from Elliptical Distributions (2014) (26)
- Chemometric modeling of thermogravimetric data for the compositional analysis of forest biomass (2017) (26)
- A Re-Weighted Least Squares Method for Robust Regression Estimation (2006) (24)
- Identifying Plant Part Composition of Forest Logging Residue Using Infrared Spectral Data and Linear Discriminant Analysis (2016) (24)
- Validation of prediction equations for apparent metabolizable energy of corn distillers dried grains with solubles in broiler chicks. (2014) (24)
- Recognition of Western style musical genres using machine learning techniques (2009) (23)
- An application of the local influence approach to ridge regression (1999) (22)
- MM-type smoothing spline estimators for principal functions (2013) (20)
- A phylogenetic microarray targeting 16S rRNA genes from the bacterial division Acidobacteria reveals a lineage-specific distribution in a soil clay fraction (2010) (19)
- A Comparison of Multiple Outlier Detection Methods for Regression Data (2008) (14)
- Classification Based on Depth Transvariations (2008) (11)
- Robust group-Lasso for functional regression model (2015) (11)
- Estimating the Basic Density and Mechanical Properties of Elite Loblolly Pine Families with Near Infrared Spectroscopy (2018) (9)
- Robust Principal Component Functional Logistic Regression (2016) (9)
- Treatment patterns among breast cancer patients in the United States using two national surveys on visits to physicians' offices and hospital outpatient departments. (2015) (8)
- Robust Detection of Multiple Outliers in Grouped Multivariate Data (2007) (7)
- Finding multivariate outliers in fMRI time-series data (2014) (7)
- The Effect of Outliers in Independent Component Analysis (2008) (6)
- M-based simultaneous inference for the mean function of functional data (2019) (6)
- High Throughput Screening of Elite Loblolly Pine Families for Chemical and Bioenergy Traits with Near Infrared Spectroscopy (2018) (6)
- On the trade-off between energy efficiency and estimation error in compressive sensing (2013) (5)
- Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator (2013) (5)
- Classification of EEG signals: An interpretable approach using functional data analysis (2022) (5)
- Variable Selection for Functional Logistic Regression in fMRI Data Analysis (2015) (4)
- Evaluation of methods for adjusting population stratification in genome‐wide association studies: Standard versus categorical principal component analysis (2019) (4)
- Partial least squares classification for high dimensional data using the PCOUT algorithm (2013) (4)
- Robust simultaneous inference for the mean function of functional data (2018) (4)
- Functional outlier detection with robust functional principal component analysis (2011) (2)
- On balancing energy efficiency and estimation error in compressed sensing (2012) (2)
- SHRINKAGE PRE-TEST ESTIMATOR OF THE UNIVARIATE NORMAL MEAN (2010) (1)
- M-based simultaneous inference for the mean function of functional data (2018) (0)
- Robust sparse functional regression model (2020) (0)
- Robust Variable Selection in Functional Linear Models (2014) (0)
- Acknowledgement of referees, 2010-2011 (2012) (0)
- Emergence of Statistical Methodologies with the Rise of BIG Data (2019) (0)
- Understanding post-surgical decline in left ventricular function in primary mitral regurgitation using regression and machine learning models (2023) (0)
- Robust simultaneous inference for the mean function of functional data (2018) (0)
- SIGNIFICANT REDUCTION IN LEFT ATRIAL FUNCTION IN PATIENTS WITH MODERATE-SEVERE PRIMARY MITRAL REGURGITATION (2021) (0)
- Risk of Cardiotoxicity And All-Cause Mortality In Breast Cancer Patients After Adjuvant Chemotherapy or Hormonal Therapy (2015) (0)
- Variable Selection in the Chlamydia Pneumoniae Lung Infection Study (2021) (0)
- Partial least squares classification for high dimensional data using the PCOUT algorithm (2012) (0)
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What Schools Are Affiliated With Nedret Billor?
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