yusuke1997/dblp-id-title huggingface dataset:
Steepest Ascent for Multiple-Response Applications
Introduction to Matrix Analytic Methods in Stochastic Modeling
Bootstrapping in Controlled Calibration Experiments
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel
HALT, HASS and HASA Explained: Accelerated Reliability Techniques
Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach
Cellwise Outlier Detection in Heterogeneous Populations
Evaluation of the Run-Length Probability Distribution for CUSUM Charts: Assessing Chart Performance
Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics
Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs
Statistical Process Control and Quality Improvement
Reliability of Space-Shuttle Pressure Vessels With Random Batch Effects
A Smooth Nonparametric Approach to Multivariate Process Capability
Robust Multivariate Functional Control Chart
A Handbook of Statistical Analysis Using R
Simulating Societal Change: Counterfactual Modelling for Social and Policy Inquiry
Probability Models in Engineering and Science
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
Model Calibration Through Minimal Adjustments
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates
Properties of the T 2 Control Chart When Parameters Are Estimated
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
Bandwidth Selection for Changepoint Estimation in Nonparametric Regression
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach
Analysis of Variance for Random Models, Vol. 1: Balanced Data, Theory, Methods, Applications and Data Analysis
Teaching Statistics
K -Means Inverse Regression
Mixture of Regression Models for Large Spatial Datasets
Evaluating Experiments for Estimating the Bit Failure Cross-Section of Semiconductors Using a Colored Spectrum Neutron Beam
Discussion of "Experimental Design and Modeling for Forward-Inverse Maps" by R. Barton & M. Morris, appearing in Technometrics
Applied Nonparametric Statistical Methods
An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes
Wavelet Transforms and Time-Frequency Signal Analysis
Expert Knowledge and Multivariate Emulation: The Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM)
Computationally Efficient Comparison of Experimental Designs for System Reliability Studies With Binomial Data
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression
Statistical Methods in Health Disparity Research Statistical Methods in Health Disparity Research Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00, ISBN 9780367635121: Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00, ISBN 9780367635121
SAS ® Survival Analysis Techniques for Medical Research
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction
A Decomposition of Total Variation Depth for Understanding Functional Outliers
Monitoring Warranty Claims With Cusums
An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit
CUSUM Statistical Monitoring of M/M/1 Queues and Extensions
Multivariate Zero-Inflated Poisson Models and Their Applications
Editorial: Celebrating 50 Years of Ridge Regression
Robust Parameter Design With Feedback Control
Statistical Methods in Software Engineering
Efficient MCMC Schemes for Computationally Expensive Posterior Distributions
Modeling Financial Time Series With S - Plus
Pharmaceutical Statistics Using SAS ® A Practical Guide
Principal Components Regression With Data Chosen Components and Related Methods
Post-Fractionated Strip-Block Designs
Likelihood Analysis of Multivariate Probit Models Using a Parameter Expanded MCEM Algorithm
Sensitivity Analysis in Practice, Andrea Saltelli
Statistical Modeling of Minimum Intergranular Corrosion Path Length in High-Strength Aluminum Alloy
Stochastic Models in Reliability
Sliced Rotated Sphere Packing Designs
Practical Statistics by Example Using Microsoft® Excel
Model-Robust Process Optimization Using Bayesian Model Averaging
Robust Estimators of the Generalized Log-Gamma Distribution
A D-Optimal Design for Estimation of Parameters of an Exponential-Linear Growth Curve of Nanostructures
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems
Comment: Enhancing the Search for Compromise Designs
Univariate and Multivariate General Linear Models - Theory and Applications With SAS
Analysis of Messy Data Volume III: Analysis of Covariance
Analysis of Interval-Censored Data From Fractionated Experiments Using Covariance Adjustment
Bayesian Inference in Wavelet-Based Models
Split-Plot Designs and Estimation Methods for Mixture Experiments With Process Variables
Cumulative Sum Charts and Charting for Quality Improvement
Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences
Confidence Regions Around the Ridge of Optimal Response on Fitted Second-Order Response Surfaces
Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Sparse Sliced Inverse Regression
An Effective Method for Online Disease Risk Monitoring
ROBPCA: A New Approach to Robust Principal Component Analysis
Book Review: Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package, by Kim-Ahn Lê Cao and Zoe Welham, Boca Raton, FL, CRC/CRC Press, Chapman and Hall, Taylor & Francis Group, 2022, xxi + 308 pp., 121 color illustrations, $79.96 (hbk), ISBN 9780367460945
In All Likelihood - Statistical Modeling and Inference Using Likelihood
Analysis of Clinical Trials Using SAS ® : A Practical Guide
Comparing the Reliability of Related Populations With the Probability of Agreement
Estimating a Parametric Component Lifetime Distribution from a Collection of Superimposed Renewal Processes
The Impact of Unidentified Location Effects on Dispersion-Effects Identification From Unreplicated Factorial Designs
Life Time Data: Statistical Models and Methods
Fuzzy Modeling and Fuzzy Control
Semiparametric Estimation of Gamma Processes for Deteriorating Products
Computer-Based Robust Engineering: Essentials for DFSS
Active Learning for Deep Gaussian Process Surrogates
Detecting Mines in Minefields With Linear Characteristics
Analysis of Computer Experiments With Functional Response
Diagnostics for Linear Models With Functional Responses
Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data
Powerful Two-Sample Tests Based on the Likelihood Ratio
Exploratory Data Analysis With MATLAB
Assurance for Sample Size Determination in Reliability Demonstration Testing
Statistical Challenges Facing Early Outbreak Detection in Biosurveillance
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression
A Unified Approach to Sparse Tweedie Modeling of Multisource Insurance Claim Data
Practical Time Series
Lifted Brownian Kriging Models
Eliminating Suboptimal Local Minimizers in Nonlinear Parameter Estimation
Statistical Methods for Fighting Financial Crimes
A Simplified Formulation of Likelihood Ratio Confidence Intervals Using a Novel Property
An Efficient Online Monitoring Method for High-Dimensional Data Streams
Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues
Introduction to Mixed Modelling. Beyond Regression and Analysis of Variance
A Robust Standard Deviation Control Chart
Comment: Toward Guidelines for Practitioners on Screening Designs and Analysis
Weighted Classical Variogram Estimation for Data With Clustering
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression
Wavelet-Based Estimation for Seasonal Long-Memory Processes
Success Through Quality
Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy
Statistical Distributions in Engineering
Celebrating Statistics: Papers in Honour of Sir David Cox on His 80 th Birthday
Smooth Isotonic Additive Interaction Models With Application to Computer System Architecture Design
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
Design and Performance Analysis of the Exponentially Weighted Moving Average Mean Estimate for Processes Subject to Random Step Changes
Algorithmic Construction of Efficient Fractional Factorial Designs With Large Run Sizes
Statistical Tools for Environmental Quality Measurement
Applied Stochastic Modelling
Components of Variance
Bootstrap Techniques for Signal Processing
Methods for Assessing Curvature and Interaction in Mixture Experiments
Semiparametric Regression, David Ruppert
Nonregular Designs With Desirable Projection Properties
Design of Experiments for Categorical Repeated Measurements in Packet Communication Networks
Bayesian State Space Modeling of Physical Processes in Industrial Hygiene
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees
Statistical Inverse Analysis for a Network Microsimulator
Testing for Monotone Trend in Recurrent Event Processes
Multidimensional Penalized Signal Regression
A Random Onset Model for Degradation of High-Reliability Systems
Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start
Multidimensional Nonlinear Descriptive Analysis (MUNDA)
Quality Assessment for Short Oligonucleotide Microarray Data
A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree
Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance: by Steven Tijms, Singapore: World Scientific, 2021, 256 pp., $34.00 (pbk), ISBN 978-981-124-783-5
The Quality Toolbox
One-Sided Tolerance Limits for Balanced and Unbalanced Random Effects Models
Simultaneous Envelopes for Multivariate Linear Regression
Modeling in Medical Decision Making
Statistical Procedures for Machine and Process Qualification
Automated Threshold Selection and Associated Inference Uncertainty for Univariate Extremes
Accounting for Dependence in a Flexible Multivariate Receptor Model
Jump Detection in a Regression Curve and Its Derivative
D-Optimal Split-Plot Designs With Given Numbers and Sizes of Whole Plots
Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring
Matrix Linear Discriminant Analysis
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators
Aspects of Statistical Inference
Sequential Monte Carlo Methods in Practice
Genetic Algorithms and Engineering Optimization
Range Test for the Equivalency of Means Under Unequal Variances
Rerandomization Algorithms for Optimal Designs of Network A/B Tests
The SPC Troubleshooting Guide
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields
Design and Analysis of Accelerated Tests for Mission-Critical Reliability
Weibull Prediction Intervals for a Future Number of Failures
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data
A Profile-Based Approach to Parametric Sensitivity Analysis of Nonlinear Regression Models
Combining Data in Small Multiple-Method Studies
Nonparametric Statistical Methods for Complete and Censored Data
Statistical Monitoring of Clinical Trials
SELC: Sequential Elimination of Level Combinations by Means of Modified Genetic Algorithms
Factorial Designs for Online Experiments
Atmospheric Modeling, Data Assimilation, and Predictability
Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams
Scale Counting
Sequential Designs for Filling Output Spaces
Detection of Hidden Additivity and Inference Under Model Uncertainty for Unreplicated Factorial Studies via Bayesian Model Selection and Averaging
The Statistics of Gene Mapping
Your Statistical Consultant
Simultaneous Variable Selection
Ridge Regularization: An Essential Concept in Data Science
Continuous Time Modeling in the Behavioural and Related Sciences
Leveraged Gauge R&R Studies
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis
Statistical Universals of Language: Mathematical Chance vs. Human Choice: by Kumiko Tanaka-Ishii, Springer, Switzerland, 2021, 236 pp., EUR 89.99 (hardback), EUR 76.99 (eBook), ISBN: 978-3-030-59376-6
Smart Grid and Enabling Technologies Smart Grid and Enabling Technologies Shady S. Refaat, Omar Ellabban, Sertac Bayhan, Haitham Abu-Rub, Dr. Frede Blaabjerg, Miroslav M. Begovic, and Hoboken, NJ: Wiley-IEEE Press, 2021, 512 pp, $140.00, ISBN 978-1-119-42231-0: Shady S. Refaat, Omar Ellabban, Sertac Bayhan, Haitham Abu-Rub, Dr. Frede Blaabjerg, Miroslav M. Begovic, and Hoboken, NJ: Wiley-IEEE Press, 2021, 512 pp, $140.00, ISBN 978-1-119-42231-0
Technometrics - How It All Started
Comment: Ridge Regression - Still Inspiring After 50 Years
Robust Statistical Methods With R
Collecting Spatial Data: Optimum Design of Experiments for Random Fields, 2nd, Revised Edition
Experimental Design for Combinatorial and High Throughput Materials Development
Two-Level Designs to Estimate All Main Effects and Two-Factor Interactions
A Bayesian Perspective on the Analysis of Unreplicated Factorial Experiments Using Potential Outcomes
Peaks Over Thresholds Modeling With Multivariate Generalized Pareto Distributions
Fingerprint-Based Recognition
Efficient Model-Free Subsampling Method for Massive Data
Statistical Aspects of the Analysis of Data Networks
Comparison of Approximation Methods for Computing Tolerance Factors for a Multivariate Normal Population
Applied Statistics for Engineers and Scientists
Linear Models With R
Reliability Engineering and Risk Analysis
Introduction to Geostatistics: Applications in Hydrogeology
Optimal Progressive Censoring Plans for the Weibull Distribution
Moment-Based Goodness-of-Fit Tests for the Inverse Gaussian Distribution
Technometrics Editorial Collaborators
Achieving Quality Through Continual Improvement
Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties
Robust Diagnostic Data Analysis: Transformations in Regression
Robust Multivariate Tolerance Regions: Influence Function and Monte Carlo Study
Robust Designs for Poisson Regression Models
Statistics and Experimental Design for Toxicologists (3rd ed.)
Nominations Sought for William G. Hunter Award
Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets
Dynamic Response of Residuals to External Deviations in a Controlled Production Process
Statistics With STATA 5
Spatial von-Mises Fisher Regression for Directional Data
Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty
Some Comments on C p
Principles of Experimental Design and Analysis
Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation
Calculating the Breakdown Point of Sparse Linear Models
Statistical Computing: An Introduction to Data Analysis Using S-PLUS
Modeling Longitudinal Data
Optimal Experimental Design in the Presence of Nested Factors
Exact Statistical Methods for Data Analysis
Statistical Analysis of Spatial Point Patterns
Sequential Design for Functional Calibration of Computer Models
General Blending Models for Data From Mixture Experiments
A Rank-Based Multivariate CUSUM Procedure
Generalized, Linear, and Mixed Models
Exploring Multivariate Data with the Forward Search
Flood Frequency Analysis
Solving the MEG Inverse Problem: A Robust Two-Way Regularization Method
Procrustes Problems
Bayesian Reliability, Availability, and Maintainability Analysis for Hardware Systems Described Through Continuous Time Markov Chains
Model Calibration With Censored Data
Practical Text Analytics: Maximizing the Value of Text Data
Modeling, Analysis, Design, and Control of Stochastic Systems
Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes
Time Series: A First Course With Bootstrap Starter
Graphical Estimators From Probability Plots With Right-Censored Data
Generalized Linear Models: An Applied Approach
Model Mixing Using Bayesian Additive Regression Trees
Elementary Statistical Quality Control
Benefits and Fast Construction of Efficient Two-Level Foldover Designs
Designs for Generalized Linear Models With Several Variables and Model Uncertainty
Orthogonal Arrays: Theory and Applications
Practical Geostatistics: Modeling and Spatial Analysis
Statistics and Probability for Engineering Applications With Microsoft ® Excel
Hands-On Data Science for Librarians Hands-On Data Science for Librarians Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 9781003218012: Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 9781003218012
Natural Language Processing in the Real World: Text Processing, Analytics, and Classification: by Jyotika Singh, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2023, xxix + 362 pp., 122 B/W Illustrations, $ 79.95 (hbk), ISBN 978-1-032-19533-9
Markov Chain Monte Carlo in Stastical Mechanics - The Problem of Accuracy
The Structural Representation of Proximity Matrices With MATLAB
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-108-82341-8
Tracing the Life Cycle of Ideas in the Humanities and Social Sciences
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity
Outlier Detection in Functional Observations With Applications to Profile Monitoring
QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edited by Caroline Desgranges and Jerome Delhommelle, Boca Raton, CRC Press, 2024, 248 pp., £ 110.00, ISBN 9780367438937.: Edited by Caroline Desgranges and Jerome Delhommelle, Boca Raton, CRC Press, 2024, 248 pp., £ 110.00, ISBN 9780367438937
Optimal Engineering System Design Guided by Data-Mining Methods
Comment: Expected Improvement for Efficient Blackbox Constrained Optimization
Generalized Principal Component Analysis: Projection of Saturated Model Parameters
Applied Regularization Methods for the Social Sciences: by Holmes Finch, Boca Raton, FL, CRC/Chapman & Hall, Taylor & Francis Group, 2022, 305 pp., 77 b/w ill., $89.95 (hbk), ISBN 978-0-367-40878-7
Better Foldover Fractions for Resolution III 2 k-p Designs
OMARS Letter for Technometrics
Editor's Note: Improved Web Site With Supplemental Materials
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale: by Ashis SenGupta and Barry C. Arnold, Singapore: Springer, 2022, XIX, 488 pp., with 49 b/w illustrations, 93 illustrations in color, ISBN 978-981-19-1043-2 (hbk)
Bayesian Scale Space Analysis of Differences in Images
Optimal Experimental Designs in the Flow Rate of Particles
A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control
Difference Detection Between Two Images for Image Monitoring
Compound Orthogonal Arrays
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing
Statistics in Civil Engineering
Permutation and Grouping Methods for Sharpening Gaussian Process Approximations
Statistics and Chemometrics for Analytical Chemistry
New E(S 2 )-Optimal Supersaturated Designs Constructed From Incomplete Block Designs
Generalized Ridge Analysis Under Linear Restrictions, With Particular Applications to Mixture Experiments Problems
Template Priors in Bayesian Curve Registration
A Note on Dominating Fractional Factorial Two-Level Designs With Clear Two-Factor Interactions
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence
Modeling and Change Detection for Count-Weighted Multilayer Networks
Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration
Diagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making
Quantifying Nanoparticle Mixing State to Account for Both Location and Size Effects
Symbolic Regression: Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, and Michael Affenzeller, Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2024, xiv + 293 pp., $ 79.96 (hbk), ISBN 978-1-138-05481-3
Random Number Generation and Monte Carlo Methods
Announcement of 2010 Hunter Award
Robust and Efficient Parametric Spectral Density Estimation for High-Throughput Data
Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization
Mechanical Reliability and Design
Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach
Statistical Modelling With Quantile Functions
Bayesian Models for Categorical Data
Experimental Design With Applications in Management, Engineering and the Sciences
Normal-Based Methods for a Gamma Distribution - Prediction and Tolerance Intervals and Stress-Strength Reliability
Using Accelerated Life Tests Results to Predict Product Field Reliability
Mathematical Analysis and Optimization for Economists: by Michael J. Panik, Chapman & Hall, 2021, 345 pp., $52.49 (HB), ISBN: 9780367759018
Identifying Spatial Variation Patterns in Multivariate Manufacturing Processes - A Blind Separation Approach
Robust Multivariate Regression
Estimation of Process Parameters to Determine the Optimum Diagnosis Interval for Control of Defective Items
Probability, Choice, and Reason: by Leighton Vaughan Williams. CRC Press/Chapman and Hall, Taylor & Francis Group, Boca Raton, FL, 2022, ISBN 978-0-367-53891-0, xviii + 292 pp., $66.95 (pbk)
An Algorithm for Constructing Orthogonal and Nearly-Orthogonal Arrays With Mixed Levels and Small Runs
Wavelet-Based Data Reduction Techniques for Process Fault Detection
A State-Dependent Wear Model With an Application to Marine Engine Cylinder Liners
Optimal Design of Second-Order Linear Filters for Control Charting
Quantitative Investing: from Theory to Industry Quantitative Investing: from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color illustrations, $89.99 (pbk), ISBN 978-3-030-47204-7: Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color illustrations, $89.99 (pbk), ISBN 978-3-030-47204-7
Mixed Response Surface Models With Heterogeneous Within-Block Error Variances
Probability, Statistics, and Reliability for Engineers
Graphical Tools for Quadratic Discriminant Analysis
Evaluation of Mineral Reserves
Controller Design for Discrete-Time Stochastic Processes With Nonquadratic Loss
The Ultimate Six Sigma
Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms
A Coordinate-Descent-Based Approach to Solving the Sparse Group Elastic Net
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics
Assessing a Binary Measurement System With Varying Misclassification Rates When a Gold Standard Is Available
Spatial Scan Density Estimates
Bayesian Methods for Estimating System Reliability Using Heterogeneous Multilevel Information
Environmental Statistics With S-PLUS
The Identification of Influential Subsets in Regression Using a Fuzzy Clustering Strategy
Geodesic Gaussian Processes for the Parametric Reconstruction of a Free-Form Surface