Teaching about Approximate Confidence Regions Based on Maximum Likelihood Estimation

No abstract is available for this paper.

• Publication year

  1995

• Venue

  The American Statistician

• Publication date

  1995-02-01

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1080/00031305.1995.10476112
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Kendall's advanced theory of statistics

  1995cited by this paper
• An Introduction to the Bootstrap

  1995cited by this paper
• Kendall's Advanced Theory of Statistics.

  1994cited by this paper
• The nontruncated marginal of a truncated bivariate normal distribution

  1993cited by this paper
• Accelerated Testing: Statistical Models, Test Plans, and Data Analyses

  1991cited by this paper
• Statistical Intervals: A Guide for Practitioners

  1991cited by this paper
• On the Relationship between Bayesian and Non-Bayesian Interval Estimates

  1991cited by this paper
• Accuracy of approx confidence bounds using censored Weibull regression data from accelerated life tests

  1990cited by this paper
• Confidence Curves in Nonlinear Regression

  1990cited by this paper
• Nonlinear Regression Analysis and Its Applications

  1988cited by this paper
• A Method for Computing Profile-Likelihood- Based Confidence Intervals

  1988cited by this paper
• Introduction to Probability and Mathematical Statistics

  1987cited by this paper
• Limited failure population life tests: application to integrated circuit reliablity

  1987cited by this paper
• Computational experience with confidence intervals for nonlinear least squares

  1986cited by this paper
• The Statistical Analysis of Failure Time Data

  1980cited by this paper
• Maximum likelihood in small samples: Estimation in the presence of nuisance parameters

  1980cited by this paper
• Time Series Analysis: Forecasting and Control

  1978cited by this paper
• Linear Statistical Inference and Its Applications.

  1975cited by this paper
• Normal likelihoods and their relation to large sample theory of estimation

  1973cited by this paper
• Application of Likelihood Methods to Models Involving Large Numbers of Parameters

  1970cited by this paper
• On the Distribution of the Log Likelihood Ratio Test Statistic When the True Parameter is "Near" the Boundaries of the Hypothesis Regions

  1968cited by this paper
• Linear statistical inference and its applications

  1965cited by this paper
• Normal likelihood functions

  1964cited by this paper
• Confidence Regions in Non‐Linear Estimation

  1960cited by this paper
• Testing Statistical Hypotheses

  1959cited by this paper
• On the Distribution of the Likelihood Ratio

  1954cited by this paper
• Theory of point estimation

  1950cited by this paper

• CLADES: a hybrid NeuralODE-Gillespie approach for unveiling clonal cell fate and differentiation dynamics

  2025cites this paper
• A Comparison of Scaled Difference Tests for Forming Confidence Intervals in SEM

  2025cites this paper
• REACT to NHST: Sensible conclusions for meaningful hypotheses

  2025cites this paper
• Confidence Intervals for AUC and pAUC by Empirical Likelihood

  2025cites this paper
• Genetics and Analysis of Quantitative Traits

  2025cites this paper
• High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models

  2025cites this paper
• Bayesian Analysis of Interpretable Aging across Thousands of Lithium-ion Battery Cycles

  2025cites this paper
• Mechanistic models of humoral kinetics following COVID-19 vaccination

  2025cites this paper
• Identifiability analysis of an HIV-Ebola co-infection using the mathematical model and the MLE method

  2025cites this paper
• Likelihood-based partially decoupling approach to coupled multidisciplinary analysis under epistemic uncertainty

  2025cites this paper
• Analysis of the First Three Waves of COVID‐19 in West Africa Using an Epidemic Model With Different Modes of Transmission

  2025cites this paper
• Mechanistic models of humoral kinetics following COVID-19 vaccination

  2024cites this paper
• Comparison of Material Fatigue Testing Strategies regarding Failure-Free Load Level of Steel Specimens using Bootstrapping and Statistical Models

  2024cites this paper
• Unveiling Clonal Cell Fate and Differentiation Dynamics: A Hybrid NeuralODE-Gillespie Approach

  2024cites this paper
• Nonlinear Regression Modelling: A Primer with Applications and Caveats

  2024cites this paper
• On Equivalence of Likelihood-Based Confidence Bands for Fatigue-Life and Fatigue-Strength Distributions

  2024cites this paper
• On the Equivalence of Likelihood‐Based Confidence Bands for Fatigue‐Life and Fatigue‐Strength Distributions

  2024cites this paper
• Geographical and life-history traits associated with low and high species richness across angiosperm families

  2023cites this paper
• Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage

  2023cites this paper
• REACT to NHST: Sensible conclusions to meaningful hypotheses

  2023cites this paper
• Impact of the antidepressant Bupropion on the Dynamic Energy Budget of Daphnia magna.

  2023cites this paper
• Generalised likelihood profiles for models with intractable likelihoods

  2023cites this paper
• A target-cell limited model can reproduce influenza infection dynamics in hosts with differing immune responses.

  2023cites this paper
• Profile Likelihood for Hierarchical Models Using Data Doubling

  2023cites this paper
• semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters

  2023cites this paper
• Optimal Experimental Design Based on Two-Dimensional Likelihood Profiles

  2022cites this paper
• Dcifer: an IBD-based method to calculate genetic distance between polyclonal infections

  2022cites this paper
• Compactness regularization in the analysis of dipolar EPR spectroscopy data.

  2022cites this paper
• Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data

  2022influential citation
• Reducing structural non-identifiabilities in upstream bioprocess models using profile-likelihood

  2022cites this paper
• Approximate reference priors for Gaussian random fields

  2022cites this paper
• A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder

  2022cites this paper
• Fizeau drag in graphene plasmonics

  2021cites this paper
• Parameter Estimation in a PDE Model for the Spatial Spread of Cocoa Black Pod Disease

  2021cites this paper
• Model selection for parameter identifiability problem in Bayesian inference of building energy model

  2021cites this paper
• Accelerated partner therapy contact tracing for people with chlamydia: The LUSTRUM cluster cross-over randomised controlled trial

  2021cites this paper
• Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy

  2021cites this paper
• To organise or not to organise? Understanding search strategy preferences using Lego building blocks

  2021cites this paper
• Objective Bayesian analysis of accelerated degradation models based on Wiener process with correlation

  2021cites this paper
• Differential response to cytotoxic therapy explains treatment dynamics of AML patients: insights from a mathematical modelling approach

  2020cites this paper
• Assessment of the parameter identifiability of population balance models for air jet mills

  2020cites this paper
• Flexible methods for reliability estimation using aggregate failure-time data

  2020cites this paper
• Confidence Intervals for the Mixture Transition Distribution (MTD) Model and Other Markovian Models

  2020cites this paper
• Optimal COVID-19 quarantine and testing strategies

  2020cites this paper
• Meta-analysis of published excess relative risk estimates

  2020cites this paper
• Comparing experimental conditions using modern statistics

  2020cites this paper
• COVID-19 Transmission: Bangladesh Perspective

  2020cites this paper
• Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach

  2020cites this paper
• A novel interval‐based approach for quantifying practical parameter identifiability of a lithium‐ion battery model

  2020cites this paper
• Confidence intervals in general regression models that utilize uncertain prior information

  2020cites this paper
• Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics

  2020cites this paper
• Robust Likelihood‐Based Approach for Automated Optimization and Uncertainty Analysis of Toxicokinetic‐Toxicodynamic Models

  2020cites this paper
• Indirect Effects in Sequential Mediation Models: Evaluating Methods for Hypothesis Testing and Confidence Interval Formation

  2020cites this paper
• Data-based Identifiability and Observability Assessment for Nonlinear Control Systems using the Profile Likelihood Method

  2020cites this paper
• Restricted mean survival time and confidence intervals by empirical likelihood ratio

  2020influential citation
• On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization

  2020influential citation
• Plotting Likelihood-Ratio-Based Confidence Regions for Two-Parameter Univariate Probability Models

  2020cites this paper
• Charge-Transfer Plasmon Polaritons at Graphene/α-RuCl3 Interfaces

  2020cites this paper
• Safe model-based design of experiments using Gaussian processes

  2020cites this paper
• Prior selection method using likelihood confidence region and Dirichlet process Gaussian mixture model for Bayesian inference of building energy models

  2020cites this paper
• Application of Systems Engineering Principles and Techniques in Biological Big Data Analytics: A Review

  2020cites this paper
• Emerging strains of watermelon mosaic virus in Southeastern France: model-based estimation of the dates and places of introduction

  2020cites this paper
• COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling

  2020cites this paper
• Combining multiple spatial statistics enhances the description of immune cell localisation within tumours

  2020influential citation
• Application of General Unified Threshold Models of Survival Models for Regulatory Aquatic Pesticide Risk Assessment Illustrated with an Example for the Insecticide Chlorpyrifos

  2020cites this paper
• Nuevas herramientas en análisis de supervivencia: Chironomus riparius frente a triclosán.

  2019cites this paper
• Towards Quantitative Imaging Biomarkers of Tumor Dissemination: a Multi-scale Parametric Modeling of Multiple Myeloma

  2019cites this paper
• Assessing the Global and Local Uncertainty of Scientific Evidence in the Presence of Model Misspecification

  2019cites this paper
• Parameter identifiability in Bayesian inference for building energy models

  2019cites this paper
• Parameter identification and uncertainty quantification in stochastic state space models and its application to texture analysis

  2019cites this paper
• Maximum likelihood estimation of Gaussian copula models for geostatistical count data

  2019cites this paper
• Active Fault Identification by Optimization of Test Designs

  2019cites this paper
• Parameter estimation for externally simulated thermal network models

  2019cites this paper
• A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation

  2019cites this paper
• Determination of physiological parameters for endogenous glucose production in individuals using diurnal data

  2019cites this paper
• Completeness of the known graptoloid palaeontological record

  2019cites this paper
• Development of a continuous process and dynamic modeling of the chemo-enzymatic epoxidation of α-pinene

  2019cites this paper
• Estimating uncertainty of model parameters obtained using numerical optimisation

  2019influential citation
• TK-TD Model of Lemna Populations (MoLePo)

  2018cites this paper
• Solving inverse problems in building physics: An overview of guidelines for a careful and optimal use of data

  2018cites this paper
• Optimal Selection of Test Designs and Sensor Sets for Active Fault Diagnosis

  2018cites this paper
• Statistical inference for functions of the parameters of a linear mixed model

  2018cites this paper
• ASSA-PBN: A Toolbox for Probabilistic Boolean Networks

  2018cites this paper
• Advances in understanding the response of fish to linear alcohols in the environment.

  2018cites this paper
• Set-membership nonlinear regression approach to parameter estimation

  2018cites this paper
• Analysis and Optimization of Ecotoxicological Models under Uncertainty

  2018influential citation
• Calibration and validation of toxicokinetic-toxicodynamic models for three neonicotinoids and some aquatic macroinvertebrates

  2018cites this paper
• Towards Personalized Models of the Cardiovascular System Using 4 D Flow MRI

  2018cites this paper
• A review on effective maintenance strategies and management for optimising equipment systems

  2018cites this paper
• gcKrig: An R Package for the Analysis of Geostatistical Count Data Using Gaussian Copulas

  2018cites this paper
• Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling?

  2018influential citation
• Identifiability Analysis of Load Model Parameter Identification with Likelihood Profile Method

  2018cites this paper
• Profile likelihood-based analyses of infectious disease models

  2018cites this paper
• Short‐term to long‐term extrapolation of lethal effects of an herbicide on the marine mysid shrimp Americamysis Bahia by use of the General Unified Threshold Model of Survival (GUTS)

  2018cites this paper
• Profile-likelihood Confidence Intervals in Item Response Theory Models

  2017cites this paper
• Epigenetic Memory via Concordant DNA Methylation Persists in Mammalian Toti- and Pluripotent Stem Cells

  2017cites this paper
• Is stochastic grey-box modelling suited for physical properties estimation of building components from on-site measurements?

  2017influential citation
• Panning for gold: Enhancing the precision of sensitivity test data

  2017cites this paper
• Computational Methods for Analysing Long-run Dynamics of Large Biological Networks

  2017cites this paper
• Epigenetic memory via concordant DNA methylation is inversely correlated to developmental potential of mammalian cells

  2017cites this paper