Len Stefanski

Works (49)

Updated: April 4th, 2024 18:09

2019 journal article

Assessing Tuning Parameter Selection Variability in Penalized Regression

TECHNOMETRICS, 61(2), 154–164.

By: W. Hu n, E. Laber n, C. Barker* & L. Stefanski n

author keywords: Conditional distribution; Lasso; Prediction sets
TL;DR: The proposed methodology attempts to strike a balance between algorithmic modeling approaches that are computationally efficient but fail to incorporate expert knowledge, and interactive modeling approaches That are labor intensive but informed by experience, intuition, and domain knowledge. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 22, 2019

2018 journal article

Nonparametric independence screening via favored smoothing bandwidth

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 197, 1–14.

By: Y. Feng*, Y. Wu* & L. Stefanski n

author keywords: Bandwidth; Nonparametric; Smoothing; Variable screening
TL;DR: Theoretically, it is proved that the favored smoothing bandwidth based screening possesses the model selection consistency property, which is important for ultrahigh-dimensional data screening. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Interactive Q-Learning for Quantiles

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 112(518), 638–649.

By: K. Linn*, E. Laber n & L. Stefanski n

author keywords: Dynamic treatment regime; Personalized medicine; Sequential decision making; Sequential multiple assignment randomized trial
TL;DR: This work derives estimators of decision rules for optimizing probabilities and quantiles computed with respect to the response distribution for two-stage, binary treatment settings and illustrates the approach with data from a sequentially randomized trial where the primary outcome is remission of depression symptoms. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 112(520), 1587–1597.

By: K. White n, L. Stefanski n & Y. Wu*

author keywords: Bandwidth selection; Feature selection; LASSO; Nadaraya-Watson; Nonparametric regression; Solution path
TL;DR: This article develops a nonparametric shrinkage and selection estimator via the measurement error selection likelihood approach recently proposed by Stefanski, Wu, and White using small-sample-corrected AIC to select the tuning parameter. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Automatic structure recovery for additive models

BIOMETRIKA, 102(2), 381–395.

By: Y. Wu n & L. Stefanski n

author keywords: Backfitting; Bandwidth estimation; Kernel; Local polynomial; Measurement-error model selection likelihood; Model selection; Profiling; Smoothing; Variable selection
TL;DR: An automatic structure recovery method for additive models, based on a backfitting algorithm coupled with local polynomial smoothing, in conjunction with a new kernel-based variable selection strategy is proposed, and an extension to partially linear models is described. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

iqLearn: Interactive Q-Learning in R

Journal of Statistical Software, 64(1).

By: K. Linn, E. Laber & L. Stefanski

Source: NC State University Libraries
Added: August 6, 2018

2014 book

The Work of Raymond J. Carroll

Marie Davidian; Len Stefanski

Ed(s): M. Davidian n, X. Lin*, J. Morris & L. Stefanski n

Sources: Crossref, ORCID
Added: August 6, 2018

2014 journal article

Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 109(506), 574–589.

By: L. Stefanski*, Y. Wu & K. White

author keywords: Attenuation; Bayes rule; Binary regression; Convolution; Discriminant analysis; Kernel discriminant analysis; LASSO; Linear regression; Maximum likelihood rule; Model selection; Ridge regression
TL;DR: A new kernel-based classifier with LASSO-like shrinkage and variable-selection properties is developed in nonparametric classification, resulting in a new measurement-error-model-based approach to variable selection. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 chapter

Bias Reduction in Logistic Regression with Estimated Variance Predictors

In ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers (pp. 33–51).

By: L. Thomas*, L. Stefanski n & M. Davidian n

UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, ORCID
Added: March 13, 2020

2013 journal article

Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(502), 644–655.

By: H. Bondell n & L. Stefanski n

author keywords: Asymptotic efficiency; Breakdown point; Consistency; Constrained optimization; Distributional robustness; Efficient estimation; Exponential tilting; Least trimmed squares; Weighted least squares
TL;DR: This work develops and study a linear regression estimator that has relatively high efficiency for small sample sizes and comparable outlier resistance, and is compared to existing robust regression estimators via application to a real dataset with purported outliers. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 book

Essential statistical inference: Theory and methods

New York: Springer.

By: D. Boos & L. Stefanski

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Moment adjusted imputation for multivariate measurement error data with applications to logistic regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 67, 15–24.

By: L. Thomas*, L. Stefanski n & M. Davidian n

author keywords: Moment adjusted imputation; Multivariate measurement error; Logistic regression; Regression calibration
TL;DR: Moment Adjusted Imputation is method for measurement error in a scalar latent variable that is easy to implement and performs well in a variety of settings and the extension of MAI to the setting of multivariate latent variables involves unique challenges. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2012 journal article

Corrected-loss estimation for quantile regression with covariate measurement errors

BIOMETRIKA, 99(2), 405–421.

By: H. Wang*, L. Stefanski & Z. Zhu

author keywords: Corrected loss function; Laplace distribution; Measurement error; Normal distribution; Quantile regression; Smoothing
TL;DR: A new estimation approach based on corrected scores to account for a class of covariate measurement errors in quantile regression, which requires no parametric assumptions on the regression error distributions and is simple to implement. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

A Moment-Adjusted Imputation Method for Measurement Error Models

BIOMETRICS, 67(4), 1461–1470.

By: L. Thomas*, L. Stefanski n & M. Davidian n

author keywords: Conditional score; Measurement error; Nonlinear models; Regression calibration
MeSH headings : Algorithms; Blood Pressure Determination / methods; Computer Simulation; Data Interpretation, Statistical; Heart Failure / diagnosis; Heart Failure / epidemiology; Humans; Models, Statistical; Reproducibility of Results; Sensitivity and Specificity
TL;DR: An imputation approach called moment‐adjusted imputation that is flexible and relatively automatic that can be used to adjust a variety of analyses quickly, and it performs well under a broad range of circumstances is proposed. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2011 journal article

Density Estimation with Replicate Heteroscedastic Measurements

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 63(1), 81–99.

By: J. McIntyre* & L. Stefanski n

author keywords: Bandwidth; Bootstrap; Deconvolution; Hypergeometric series; Measurement error
TL;DR: The estimator generalizes well-known deconvoluting kernel density estimators, with error variances estimated from the replicate observations, and derives expressions for the integrated mean squared error and examines its rate of convergence as n → ∞ and the number of replicates is fixed. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

FSR methods for second-order regression models

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 55(6), 2026–2037.

By: H. Crews*, D. Boos n & L. Stefanski n

author keywords: Bagging; False selection rate; Model selection; Response optimization; Variable selection
TL;DR: Forward selection algorithms are developed that enforce natural hierarchies in second-order models to control the entry rate of uninformative effects and to equalize the false selection rates from first-order and second- order terms. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

P-Value Precision and Reproducibility

AMERICAN STATISTICIAN, 65(4), 213–221.

By: D. Boos n & L. Stefanski n

author keywords: Log p-value; Measure of evidence; Prediction interval; Reproducibility probability
TL;DR: It is shown that p-values exhibit surprisingly large variability in typical data situations, and the use of *, **, and *** to denote levels 0.05, 0.01, and 0.001 of statistical significance in subject-matter journals is about the right level of precision for reporting p- values when judged by widely accepted rules for rounding statistical estimates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Regression-assisted deconvolution

STATISTICS IN MEDICINE, 30(14), 1722–1734.

By: J. McIntyre* & L. Stefanski n

author keywords: density estimation; measurement error; mean-variance function model
MeSH headings : Algorithms; Analysis of Variance; Anthropometry / methods; Bias; Biometry / methods; Biostatistics / methods; Birth Weight; Body Height; Computer Simulation; Female; Humans; Infant, Newborn; Linear Models; Male; Models, Statistical; Pennsylvania; Sample Size
TL;DR: This work presents a semi‐parametric deconvolution estimator for the density function of a random variable biX that is measured with error, a common challenge in many epidemiological studies and illustrates the method using anthropometric measurements of newborns to estimate thedensity function of newborn length. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

Fast FSR Variable Selection with Applications to Clinical Trials

BIOMETRICS, 65(3), 692–700.

By: D. Boos n, L. Stefanski n & Y. Wu*

author keywords: Bagging; False discovery rate; False selection rate; Forward selection; LASSO; Model error; Model selection; Regression
MeSH headings : Biometry / methods; Clinical Trials as Topic; Computer Simulation; Data Interpretation, Statistical; Effect Modifier, Epidemiologic; Models, Statistical; Proportional Hazards Models; Regression Analysis
TL;DR: A new version of the false selection rate variable selection method that requires no simulation is developed that allows the tuning parameter in forward selection to be estimated simply by hand calculation from a summary table of output even for situations where the number of explanatory variables is larger than the sample size. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

Latent-Model Robustness in Joint Models for a Primary Endpoint and a Longitudinal Process

BIOMETRICS, 65(3), 719–727.

By: X. Huang*, L. Stefanski n & M. Davidian n

author keywords: Censoring; Random effect; Remeasurement method; SIMEX
MeSH headings : Biometry / methods; Clinical Trials as Topic; Computer Simulation; Data Interpretation, Statistical; Effect Modifier, Epidemiologic; Endpoint Determination / methods; Longitudinal Studies; Models, Statistical; Regression Analysis
TL;DR: Methods to diagnose random effect model misspecification of the type that leads to biased inference on joint models are presented and illustrated via application to simulated data. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2009 journal article

Orthology-based multilevel modeling of differentially expressed mouse and human gene pairs

Statistical Applications in Genetics and Molecular Biology, 8(1).

By: B. Ogorek & L. Stefanski

Source: NC State University Libraries
Added: August 6, 2018

2009 journal article

Robust time series analysis via measurement error modeling

Statistica Sinica, 19(3), 1263–1280.

By: Q. Wang, L. Stefanski, M. Genton & D. Boos

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

Characterizing ammonia emissions from swine farms in eastern North Carolina: Part 2 - Potential environmentally superior technologies for waste treatment

JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 58(9), 1145–1157.

By: V. Aneja n, S. Arya n, I. Rumsey n, D. Kim n, K. Bajwa n, H. Arkinson n, H. Semunegus n, D. Dickey n ...

Contributors: V. Aneja n, S. Arya n, I. Rumsey n, D. Kim n, K. Bajwa n, H. Arkinson n, H. Semunegus n, D. Dickey n ...

MeSH headings : Agriculture; Air Pollutants, Occupational / analysis; Ammonia / analysis; Animals; North Carolina; Swine / physiology; Waste Disposal, Fluid / methods
TL;DR: This study showed that ammonia emissions were reduced by all but one potential EST for both experimental periods, but on the basis of evaluation results and analysis and available information in the scientific literature, the evaluated alternative technologies may require additional technical modifications to be qualified as unconditional ESTs relative to NH3 emissions reductions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2008 journal article

Characterizing ammonia emissions from swine farms in eastern north carolina: Part 1-conventional lagoon and spray technology for waste treatment

JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 58(9), 1130–1144.

By: V. Aneja n, S. Arya n, D. Kim n, I. Rumsey n, H. Arkinson n, H. Semunegus n, K. Bajwa n, D. Dickey n ...

Contributors: V. Aneja n, S. Arya n, D. Kim n, I. Rumsey n, H. Arkinson n, H. Semunegus n, K. Bajwa n, D. Dickey n ...

MeSH headings : Agriculture; Air Pollutants, Occupational / analysis; Ammonia / analysis; Animals; Environmental Monitoring; North Carolina; Swine / physiology; Waste Disposal, Fluid / methods
TL;DR: Ammonia (NH3) fluxes from waste treatment lagoons and barns at two conventional swine farms in eastern North Carolina were measured to elucidate the temporal and diurnal variability and derive regression relationships between NH3 flux and lagoon temperature, pH and ammonium content of the lagoon, and the most relevant meteorological parameters. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
6. Clean Water and Sanitation (OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2008 journal article

The North Carolina lottery coincidence

AMERICAN STATISTICIAN, 62(2), 130–134.

By: L. Stefanski n

author keywords: birthday problem; matching probability; recursion formula; television reporter
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Controlling variable selection by the addition of pseudovariables

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 102(477), 235–243.

By: Y. Wu n, D. Boos n & L. Stefanski n

author keywords: false selection rate; forward selection; model error; model selection; subset selection
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Factors regulating cheese shreddability

JOURNAL OF DAIRY SCIENCE, 90(5), 2163–2174.

By: J. Childs n, C. Daubert n, L. Stefanski n & E. Foegeding n

author keywords: cheese; shreddability; pressure-sensitive adhesion; surface energy
MeSH headings : Cheese / analysis; Dietary Fats / analysis; Food Handling / methods; Rheology; Statistics as Topic; Temperature; Time Factors
TL;DR: Rheological properties and tack energy appeared to be the key factors involved in shredding defects, and Mozzarella cheese, with the highest fat and lowest protein contents, produced the most fines but showed little adherence to the blade, even though tack energy increased with fat content. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Residual (sur)realism

AMERICAN STATISTICIAN, 61(2), 163–177.

By: L. Stefanski*

author keywords: added-variable plot; backward selection; forward selection; hidden image; hidden message; linear regression; model selection; partial regression plot; residual plots; variable selection
UN Sustainable Development Goal Categories
10. Reduced Inequalities (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2006 journal article

A Multivariate two-sample mean test for small sample size and missing data

BIOMETRICS, 62(3), 877–885.

By: Y. Wu, M. Genton* & L. Stefanski n

author keywords: drug discovery; high-dimensional data; Hotelling's T-2; small n large p
MeSH headings : Algorithms; Biometry / methods; Data Interpretation, Statistical; Drug Design; Models, Statistical; Monte Carlo Method; Multivariate Analysis; Quantitative Structure-Activity Relationship; Sample Size
TL;DR: A new statistic for testing the equality of two multivariate mean vectors is developed, based on componentwise statistics, that has the advantage over Hotelling's T2 test of being applicable to the case where the dimension of an observation exceeds the number of observations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2006 journal article

Latent-model robustness in structural measurement error models

BIOMETRIKA, 93(1), 53–64.

By: X. Huang n, L. Stefanski n & M. Davidian n

author keywords: bias; latent variable; measurement error; remeasurement method; simulation extrapolation; structural modelling
TL;DR: Methods for diagnosing the effects of model misspecification of the true-predictor distribution in structural measurement error models and practical techniques for examining the adequacy of an assumed latent predictor model are presented. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2006 book

Measurement error in nonlinear models: A modern perspective. (2nd ed.)

By: R. Carroll, D. Ruppert, L. Stefanski* & C. Crainiceanu

TL;DR: The Regression Calibration Algorithm and Examples of the Approximations Theoretical Examples Bibliographic Notes and Software Simulation Extrapolation Overview Simulationextrapolation Heuristics The SIMEX Algorithm Applications SIMEX in Some Important Special Cases Extensions and Related Methods. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2006 journal article

Tuning variable selection procedures by adding noise

Technometrics, 48(2), 165–175.

By: X. Luo*, L. Stefanski n & D. Boos n

TL;DR: This work proposes a general strategy for adapting variable selection tuning parameters that effectively estimates the tuning parameters so that the selection method avoids overfitting and underfitting. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2005 journal article

Comparative responses of container- versus ground-grown soybean to elevated carbon dioxide and ozone

CROP SCIENCE, 45(3), 883–895.

By: F. Booker n, J. Miller n, E. Fiscus n, W. Pursley n & L. Stefanski n

TL;DR: The results indicated that planting density and rooting environment affected plant morphology, but relative responses of seed yield to elevated CO 2 and O 3 were not fundamentally different between soybean plants grown in large pots and in the ground in open-top chambers. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2005 journal article

Estimating a nonlinear function of a normal mean

BIOMETRIKA, 92(3), 732–736.

By: L. Stefanski*, S. Novick & V. Devanarayan

author keywords: corrected score; deconvolution; jackknife; measurement error; Monte Carlo; spherical uniform distribution
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2003 journal article

A statistical analysis of creaming variables impacting process cheese melt quality

JOURNAL OF FOOD QUALITY, 26(4), 299–321.

By: T. Glenn n, C. Daubert n, B. Farkas n & L. Stefanski n

UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2003 journal article

Estimating patch occupancy when patches are incompletely surveyed

Insect Biochemistry and Molecular Biology, 2543, 1–20.

By: L. Stefanski, M. Rubino & G. Hess

Source: NC State University Libraries
Added: August 6, 2018

2002 journal article

Corrected score estimation via complex variable simulation extrapolation

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 97(458), 472–481.

By: S. Novick n & L. Stefanski n

author keywords: chaotic systems; complex data; estimating equation; m-estimator; measurement error; Monte Carlo score; Poisson regression
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2002 journal article

Empirical simulation extrapolation for measurement error models with replicate measurements

STATISTICS & PROBABILITY LETTERS, 59(3), 219–225.

By: V. Devanarayan* & L. Stefanski n

author keywords: errors-in-variables; heteroscedasticity; logistic regression; method of moments; simulation; variance components
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2002 journal article

The calculus of M-estimation

AMERICAN STATISTICIAN, 56(1), 29–38.

By: L. Stefanski n & D. Boos n

author keywords: asymptotic variance; central limit theorem; estimating equations; large-sample inference; maple; M-estimator
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2001 journal article

Statistical estimation of ozone exposure metrics

ATMOSPHERIC ENVIRONMENT, 35(26), 4499–4510.

By: E. Blankenship* & L. Stefanski n

author keywords: maximum likelihood estimation; profile likelihood; time-of-day weighting
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2000 journal article

Measurement error models

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 95(452), 1353–1358.

By: L. Stefanski n

UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2000 journal article

Relationships between ambient ozone regimes and white clover forage production using different ozone exposure indexes

ATMOSPHERIC ENVIRONMENT, 34(5), 735–744.

By: A. Heagle n & L. Stefanski n

author keywords: indicator plants; plant stress; exposure form; exposure index; ozone effects; air pollution; ozone
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

1999 article

Influence of daily carbon dioxide exposure duration and root environment on soybean response to elevated carbon dioxide

JOURNAL OF ENVIRONMENTAL QUALITY, Vol. 28, pp. 666–675.

By: A. Heagle n, F. Booker n, J. Miller n, W. Pursley n & L. Stefanski n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

1999 article

Regression depth - Comment

Carroll, R. J., Ruppert, D., & Stefanski, L. A. (1999, June). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 94, pp. 410–411.

By: R. Carroll, D. Ruppert & L. Stefanski*

UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

1999 journal article

Use of simulation-extrapolation estimation in catch-effort analyses

CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 56(7), 1234–1240.

By: W. Gould*, L. Stefanski* & K. Pollock*

UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

1998 journal article

Relative-error prediction

STATISTICS & PROBABILITY LETTERS, 40(3), 227–236.

By: H. Park* & L. Stefanski n

author keywords: prediction; power-of-the-mean model; relative error; relative least squares; variance function
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

1997 journal article

Effects of measurement error on catch-effort estimation

CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 54(4), 898–906.

By: W. Gould*, L. Stefanski* & K. Pollock*

UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

1995 book

Measurement error in nonlinear models

London; New York: Chapman & Hall.

By: R. Carroll, D. Ruppert & L. Stefanski

Source: NC State University Libraries
Added: August 6, 2018

1994 book

Estimate of methane emissions from U.S. landfills: Project summary

Research Triangle Park, NC: U.S. Environmental Protection Agency, Air and Energy Engineering Research Laboratory.

By: M. Doorn, L. Stefanski & M. Barlaz

Source: NC State University Libraries
Added: August 6, 2018

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