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Review of Psorodonotus Specularis Group (Orthoptera, Tettigoniidae, Tettigoniinae): two new species from North-east Anatolia
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Maternal Alcohol Consumption and Birth Weight
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Prediction of Functional Outcome in Individuals at Clinical High Risk for Psychosis
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Some practical issues in binary data analysis
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Neural model identification, variable selection and model adequacy
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M allows' C pStatistic
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Multiple Linear Regression
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Parsimony
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Variable Selection
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Mallows'CpStatistic
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Estimation Theory
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Final Prediction Error Criteria, Generalized
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C P Statistics
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Elimination of Variables
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Regression Variables, Selection of
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Linear Model Selection
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Assessing symptom distress in cancer patients
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Assessing the body composition of 6-17-year-old black and white girls in field studies
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Three‐dimensional ionospheric tomography reconstruction using the model function approach in Tikhonov regularization
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A Primer for Model Selection: The Decisive Role of Model Complexity
inferred← citeshttps://doi.org/10.1002/9780470057339.vac062openalex-snapshot
Cross‐Validation
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Splines in Nonparametric Regression
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Splines in Nonparametric Regression
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References
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Bayesian Factor Analysis
inferred← citeshttps://doi.org/10.1002/9780470382806.ch7openalex-snapshot
Selection of Regressors
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Bibliography
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Spatial Data Analysis and Mapping Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1002/9780470669181.ch15openalex-snapshot
Multiple Regression, Principal Components Regression and Partial Least Squares Regression
inferred← citeshttps://doi.org/10.1002/9780470669723.refsopenalex-snapshot
References
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Chemometrics in Process Analytical Technology (PAT)
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References
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Linear Regression
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Variance Estimation and Bandwidth Selection for Kernel Regression
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References
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References
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Bibliography and Index of Authors
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The Use of Independent Variables
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The Analysis of Mixture Data
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References
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Principal component regression (PCR) and partial least squares regression (PLSR)
inferred← citeshttps://doi.org/10.1002/9781118434635.ch8openalex-snapshot
Principal component regression ( PCR ) and partial least squares regression ( PLSR )
inferred← citeshttps://doi.org/10.1002/9781118445112.stat02204openalex-snapshot
C P Statistics
inferred← citeshttps://doi.org/10.1002/9781118445112.stat02204.pub2openalex-snapshot
M allows'CP, Applications
inferred← citeshttps://doi.org/10.1002/9781118445112.stat03142openalex-snapshot
Final Prediction Error Criteria, Generalized
inferred← citeshttps://doi.org/10.1002/9781118445112.stat03238openalex-snapshot
Regression Variables, Selection of
inferred← citeshttps://doi.org/10.1002/9781118445112.stat03272openalex-snapshot
Linear Model Selection
inferred← citeshttps://doi.org/10.1002/9781118445112.stat05759openalex-snapshot
Mallows' Cp statistic II
inferred← citeshttps://doi.org/10.1002/9781118445112.stat05766openalex-snapshot
Multiple Linear Regression
inferred← citeshttps://doi.org/10.1002/9781118445112.stat05770openalex-snapshot
Parsimony
inferred← citeshttps://doi.org/10.1002/9781118445112.stat05788openalex-snapshot
Variable Selection
inferred← citeshttps://doi.org/10.1002/9781118445112.stat06614openalex-snapshot
Mallows' Cp Statistic I
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07567openalex-snapshot
Splines in Nonparametric Regression
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07843openalex-snapshot
Statistics in Musicology
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07864openalex-snapshot
Supervised Learning
inferred← citeshttps://doi.org/10.1002/9781118445112.stat08028openalex-snapshot
Model Averaging
inferred← citeshttps://doi.org/10.1002/9781118445112.stat08293openalex-snapshot
Model Selection in High‐Dimensional Regression
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References
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References and Further Reading
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Building Valid Regression Models For Biological Data Using Stata and R
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Penalized Likelihood Methodology and Frailty Models
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Heterogeneous Sensing and Predictive Modeling of Postoperative Outcomes
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Innovative Computational Tools and Models for the Design, Optimization and Control of Carbon Capture Processes
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Regression Analysis – Intrinsically Non‐linear Model I
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Basic Concepts for Experimental Design and Introductory Regression Analysis
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Regressionsanalyse – Eigentlich nichtlineares Modell I
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A new weighted optimal combination of ANNs for catalyst design and reactor operation: Methane steam reforming studies
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A new process variable and dynamics selection method based on a genetic algorithm‐based wavelength selection method
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Model discrimination and criticism with single‐response data
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Discrimination and goodness of fit of multiresponse mechanistic models
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Rayon Flock: A New Cause of Respiratory Morbidity in a Card Processing Plant
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Mathematical modeling of weather‐induced degradation of polymer properties
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Likelihood adaptively modified penalties
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Cross‐estimation for decision selection
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Joint model selection of marginal mean regression and correlation structure for longitudinal data with missing outcome and covariates
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Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression
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A framework to select tuning parameters for nonparametric derivative estimation
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Bootstrap and Asymptotic Prediction Criterion Estimates for Binomial Proportions in Insemination Data
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Predicting risk of software changes
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Impartial graphical comparison of multivariate calibration methods and the harmony/parsimony tradeoff
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Detecting and adjusting for non‐linearities in calibration of near‐infrared data using principal components
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Monte Carlo cross‐validation for selecting a model and estimating the prediction error in multivariate calibration
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Ridge regression optimization using a harmonious approach
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About kernel latent variable approaches and SVM
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Selection of simplified models: I. Analysis of model‐selection criteria using mean‐squared error
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Optimizing refiner operation with statistical modelling
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Choosing the right model: Case studies on the use of statistical modeldiscrimination experiments
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Optimized design of wastewater treatment systems: Application to the mechanical pulp and paper industry: I. Design and cost relationships
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Second-order bias-corrected AIC in multivariate normal linear models under non-normality
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Variable selection and estimation in generalized linear models with the seamless ${\it L}_{{\rm 0}}$ penalty
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Conditional Akaike information under covariate shift with application to small area estimation
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Spatial Mallows model averaging for geostatistical models
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Economic variable selection
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Doubly robust criterion for causal inference
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Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models
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Long‐term decrease in satellite vegetation indices in response to environmental variables in an iconic desert riparian ecosystem: the Upper San Pedro, Arizona, United States
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Assessing CO 2 sink/source strength of a degraded temperate peatland: atmospheric and hydrological drivers and responses to extreme events
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Microbial functional guilds and genes are key to explaining soil nutrient cycling alongside soil and plant variables
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Distinct genecological patterns in seedlings of N orway spruce and silver fir from a mountainous landscape
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Missing data imputation for paired stream and air temperature sensor data
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Ill‐conditioned information matrices, generalized linear models and estimation of the effects of acid rain
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Arts and culture in transformation: A critical analysis of the national plans for the European Recovery and Resilience Facility
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Cross‐Validation andU‐Statistics
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The flat maximum effect and linear scoring models for prediction
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SNPing Away at Candidate Genes
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Mining gold dust under the genome wide significance level: a two‐stage approach to analysis of GWAS
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Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection
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Eddy covariance‐based evapotranspiration for a subtropical wetland
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Estimation of suspended sediment concentration and yield using linear models, random forests and quantile regression forests
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Heuristic, systematic, and informational regularization for process monitoring
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Identifying suitable boreholes for irrigation in the bedrock regions of the Sahel
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Loop Plant Modeling: Statistical Analyses of Costs in Loop Plant Operations
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AN ANALYSIS OF FACTORS AFFECTING THE DIFFICULTY OF DIALOGUE ITEMS IN TOEFL LISTENING COMPREHENSION
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Panel Data Models with Grouped Factor Structure Under Unknown Group Membership
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The effect of ethnic group on appendicular bone mass in children
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Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changingb drought signal
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The effect of solvents on the rate of catalytic hydrogenation of 6‐ethyl‐1,2,3,4‐tetrahydroanthracene‐9,10‐dione
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Hepatic encephalopathy is associated with posttransplant cognitive function and brain volume
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Inverse problems in polymer characterization: Direct analysis of polydispersity with photon correlation spectroscopy
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Modeling of tensile strength of rocks materials based on support vector machines approaches
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Private and civic actions as distinct types of individual engagement for transforming the exotic pet trade
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Predicted values for lung diffusing capacity in healthy children
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Bayesian model aggregation for ensemble‐based estimates of protein pK a values
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Effect of correlation on covariate selection in linear and nonlinear mixed effect models
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Fraction of design space plots for evaluating ridge estimators in mixture experiments
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Model Selection for Good Estimation and Prediction over a User‐Specified Covariate Distribution for Linear Models under the Frequentist Paradigm
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Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture‐Process Experiments
inferred← citeshttps://doi.org/10.1002/sam.11544openalex-snapshot
Weighted validation of heteroscedastic regression models for better selection
inferred← citeshttps://doi.org/10.1002/sim.2833openalex-snapshot
Variable selection for proportional odds model
inferred← citeshttps://doi.org/10.1002/sim.3943openalex-snapshot
Performance of using multiple stepwise algorithms for variable selection
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Bootstrap investigation of the stability of a cox regression model
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Predictive value of statistical models
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Cross‐validation in survival analysis
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Model selection based on resampling approaches for cluster longitudinal data with missingness in outcomes
inferred← citeshttps://doi.org/10.1002/sim.7834openalex-snapshot
Incorporating baseline measurements into the analysis of crossover trials with time‐to‐event endpoints
inferred← citeshttps://doi.org/10.1002/sim.8477openalex-snapshot
Multikernel linear mixed model with adaptive lasso for complex phenotype prediction
inferred← citeshttps://doi.org/10.1002/sim.8859openalex-snapshot
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis
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A Review of Modeling Hot Metal Desulfurization
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A constrained minimum method for model selection
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Outlier robust model averaging based on Sp criterion
inferred← citeshttps://doi.org/10.1002/stvr.1539openalex-snapshot
Are concurrency coverage metrics effective for testing: a comprehensive empirical investigation
inferred← citeshttps://doi.org/10.1002/suco.201700009openalex-snapshot
Experimental studies and analysis on compressive strength of normal‐weight concrete at low temperatures
inferred← citeshttps://doi.org/10.1002/tqem.21755openalex-snapshot
Spatial distribution of sulfur accumulation in urban dust and its societal implications in Al Hashemiya, Jordan
inferred← citeshttps://doi.org/10.1002/tqem.22067openalex-snapshot
Application of best subset method for river water quality modeling: A study on Godavari River, India
inferred← citeshttps://doi.org/10.1002/wics.1198openalex-snapshot
Linear regression
inferred← citeshttps://doi.org/10.1002/wics.1284openalex-snapshot
Variable selection in linear models
inferred← citeshttps://doi.org/10.1002/wics.1363openalex-snapshot
Robust statistics: a selective overview and new directions
inferred← citeshttps://doi.org/10.1002/wics.1455openalex-snapshot
Empirical Bayes methods in variable selection
inferred← citeshttps://doi.org/10.1002/wics.1460openalex-snapshot
The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements
inferred← citeshttps://doi.org/10.1002/wics.1605openalex-snapshot
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models
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Information criteria for model selection
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Inferring the patterns and causes of geographic variation in Ephippiger ephippiger (Orthoptera, Tettigoniidae) using geographical information systems (GIS)
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Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures
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Normal Approximation Rate and Bias Reduction for Data-Driven Kernel Smoothing Estimator in a Semiparametric Regression Model
inferred← citeshttps://doi.org/10.1007/0-387-25465-x_5openalex-snapshot
Dimension Reduction and Feature Selection
inferred← citeshttps://doi.org/10.1007/0-387-26023-4_22openalex-snapshot
Selecting a semi-parametric estimator by the expected log-likelihood
inferred← citeshttps://doi.org/10.1007/0-8176-4487-3_25openalex-snapshot
An Objective Bayesian Procedure for Variable Selection in Regression
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Towards the Development of Digital Twins for the Bio-manufacturing Industry
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Towards Adaptive Clustering in Self-monitoring Multi-agent Networks
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A new penalty-based criterion for model selection in regularized nonlinear models
inferred← citeshttps://doi.org/10.1007/3-540-45571-x_7openalex-snapshot
Minimum Message Length Criterion for Second-Order Polynomial Model Discovery
inferred← citeshttps://doi.org/10.1007/3-540-61142-8_573openalex-snapshot
Prediction of properties of chemical elements and combinations
inferred← citeshttps://doi.org/10.1007/978-0-387-09823-4_5openalex-snapshot
Dimension Reduction and Feature Selection
inferred← citeshttps://doi.org/10.1007/978-0-387-32833-1_90openalex-snapshot
C p Criterion
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References
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Risk Estimation
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Statistics and Clinical Data Analysis: A Reference Guide
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Discrepancy-Based Model Selection Criteria Using Cross-Validation
inferred← citeshttps://doi.org/10.1007/978-0-85729-118-9_7openalex-snapshot
Hazard Regression Analysis
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_1openalex-snapshot
Introduction and Motivating Examples
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_10openalex-snapshot
Preliminaries for Nonparametric Regression
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_11openalex-snapshot
Spline and Kernel Methods
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_12openalex-snapshot
Nonparametric Regression with Multiple Predictors
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_13openalex-snapshot
Differentiation of Matrix Expressions
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_15openalex-snapshot
Some Linear Algebra
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_16openalex-snapshot
Probability Distributions and Generating Functions
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_17openalex-snapshot
Functions of Normal Random Variables
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_18openalex-snapshot
Some Results from Classical Statistics
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_19openalex-snapshot
Basic Large Sample Theory
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_4openalex-snapshot
Hypothesis Testing and Variable Selection
inferred← citeshttps://doi.org/10.1007/978-1-4419-0925-1_6openalex-snapshot
General Regression Models
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