Výsledky vyhledávání - "Methods for Handling Missing Data in Statistical Analysis"

In-depth Analysis of von Mises Distribution Models: Understanding Theory, Applications, and Future Directions

Autoři: Said Benlakhdar Mohammed Rziza Rachid Oulad Haj Thami

Zdroj: Statistics, Optimization & Information Computing. 12:1210-1230

Témata: Statistics and Probability, Finite element method, von Mises distribution, Structural engineering, 7. Clean energy, Data science, Engineering, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Field (mathematics), 11. Sustainability, FOS: Mathematics, 14. Life underwater, Mathematical Physics, Scaling Limits of Interacting Particle Systems, Physics, Mixed-Effects Models, Pure mathematics, Optics, von Mises yield criterion, Focus (optics), Computer science, Management science, 13. Climate action, Computer Science, Physical Sciences, Model-Based Clustering with Mixture Models, Mathematics

Determination of Novel Estimations for the Slater Difference and Applications

Autoři: Muhammad Adil Khan Hidayat Ullah Tareq Saeed a další

Zdroj: Complexity, Vol 2024 (2024)

Témata: Statistics and Probability, Outlier Detection, Simulation Studies, Robust Estimation, Skew Distributions, QA75.5-76.95, Applied mathematics, 01 natural sciences, Computer science, Methods for Handling Missing Data in Statistical Analysis, Electronic computers. Computer science, Skew Distributions and Applications in Statistics, Physical Sciences, FOS: Mathematics, Regression Analysis, 0101 mathematics, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Přístupová URL adresa: https://doaj.org/article/052068f30853446b9e4dcbb28b34df59

Exploring the dependability of Combined Ratio Estimators in Stratified Ranked Set Sampling: Insights from COVID-19 data

Autoři: G. Triveni Faizan Danish

Zdroj: Alexandria Engineering Journal, Vol 92, Iss, Pp 267-272 (2024)

Témata: Statistics and Probability, Survey Sampling, Estimation Methods, Data set, Set (abstract data type), Infectious disease (medical specialty), Dependability, Estimator, Environmental science, Reliability engineering, Filter (signal processing), Engineering, Bias, Methods for Handling Missing Data in Statistical Analysis, Skew Distributions and Applications in Statistics, Virology, Ranked Set Sampling, FOS: Mathematics, Pathology, Disease, Statistical Methods for Sensitive Survey Questions, Data mining, 4. Education, Statistics, Stratified sampling, Stratified Ranked Set Sampling, Outbreak, Sampling (signal processing), Engineering (General). Civil engineering (General), Computer science, Programming language, 3. Good health, Coronavirus disease 2019 (COVID-19), Study variable, Physical Sciences, Mean squared error, Medicine, Computer vision, Auxiliary variable, TA1-2040, Population Mean Estimation, Stratified Sampling, 2019-20 coronavirus outbreak, Mathematics

Přístupová URL adresa: https://doaj.org/article/7440875178634c5baead94c212a4e439

Mean estimation using an efficient class of estimators based on simple random sampling: Simulation and applications

Autoři: Anoop Kumar Arshi Siddiqui Manahil SidAhmed Mustafa a další

Zdroj: Alexandria Engineering Journal, Vol 91, Iss, Pp 197-203 (2024)

Témata: Statistics and Probability, Survey Sampling, Artificial intelligence, Class (philosophy), Estimation Methods, Simple random sampling, Population, Efficiency, Epistemology, Estimator, Systems engineering, Filter (signal processing), Engineering, Methods for Handling Missing Data in Statistical Analysis, Simple random sample, Sociology, Skew Distributions and Applications in Statistics, FOS: Mathematics, Statistical Methods for Sensitive Survey Questions, Demography, Simulation Studies, 4. Education, Statistics, Mathematical optimization, Mean square error, Sampling (signal processing), Engineering (General). Civil engineering (General), Applied mathematics, Computer science, FOS: Philosophy, ethics and religion, FOS: Sociology, Philosophy, Population mean, Physical Sciences, Simple (philosophy), Computer vision, TA1-2040, Population Mean Estimation, Stratified Sampling, Estimation, Mathematics

Přístupová URL adresa: https://doaj.org/article/156bf67897934facbcfb4a26b26397b6

Gaussian Copula Regression Modeling for Marker Classification Metrics with Competing Risk Outcomes

Autoři: Alejandro Román Vásquez Gabriel Escarela Hortensia Reyes-Cervantes a další

Zdroj: International Journal of Mathematics and Mathematical Sciences, Vol 2024 (2024)

Témata: Statistics and Probability, Statistics, Covariate, Logistic regression, Receiver operating characteristic, Regularization and Variable Selection Methods, Accelerated failure time model, 01 natural sciences, 3. Good health, FOS: Economics and business, 03 medical and health sciences, 0302 clinical medicine, Methods for Handling Missing Data in Statistical Analysis, Parametric statistics, Physical Sciences, QA1-939, FOS: Mathematics, Logit, Copula (linguistics), Econometrics, 0101 mathematics, Covariance Estimation, Mathematics, Statistical Methods in Clinical Trials and Drug Development, Censoring (clinical trials)

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Přístupová URL adresa: https://doaj.org/article/fbca68d841ef4108881960d85597cfe3

A Probabilistic Approach for Missing Data Imputation

Autoři: Muhammed Nazmul Arefin Abdul Kadar Muhammad Masum

Zdroj: Complexity, Vol 2024 (2024)

Témata: Statistics and Probability, Artificial intelligence, Missing data, 0206 medical engineering, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Multiple Imputation, QA75.5-76.95, 02 engineering and technology, Regularization and Variable Selection Methods, Computer science, Big data, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Electronic computers. Computer science, Computer Science, Physical Sciences, Machine learning, 8. Economic growth, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Imputation (statistics), Data mining, Mathematics, Probabilistic logic

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Přístupová URL adresa: https://doaj.org/article/6dca6583d7f840dc9ac8aed70ac23714

Bivariate step-stress accelerated life test for a new three-parameter model under progressive censored schemes with application in medical

Autoři: Naif Alotaibi A. S. Al-Moisheer İbrahim Elbatal a další

Zdroj: AIMS Mathematics, Vol 9, Iss 2, Pp 3521-3558 (2024)

Témata: Statistics and Probability, Social Sciences, maximum likelihood estimation, 02 engineering and technology, accelerated life test, 01 natural sciences, Mathematical analysis, Decision Sciences, Lifetime Modeling, Methods for Handling Missing Data in Statistical Analysis, Shape parameter, Skew Distributions and Applications in Statistics, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0101 mathematics, Censoring (clinical trials), progressive type-i censoring, exponentiated exponential distribution, symmetric, 4. Education, Statistics, Exponential function, Mixed-Effects Models, Applied mathematics, gull alpha power family of distributions, bivariate step-stress, Generalized Exponential, Bivariate analysis, Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, asymmetric, Exponential distribution, Weibull distribution, Statistics, Probability and Uncertainty, Mathematics

Přístupová URL adresa: https://doaj.org/article/4286659bb37247f6812acecede1d3d89

Analysis of a new jointly hybrid censored Rayleigh populations

Autoři: Ahmed Elshahhat Hanan Haj Ahmad Ahmed Rabaiah a další

Zdroj: AIMS Mathematics, Vol 9, Iss 2, Pp 3740-3762 (2024)

Témata: Statistics and Probability, Conjugate prior, Social Sciences, 02 engineering and technology, Experimental Design and Optimization Methods, Management Science and Operations Research, Bayesian probability, 01 natural sciences, Estimator, Decision Sciences, Lifetime Modeling, Bayes' theorem, jointly type-ⅰ hybrid censoring, Context (archaeology), Joint probability distribution, Methods for Handling Missing Data in Statistical Analysis, Skew Distributions and Applications in Statistics, Prior probability, Probability density function, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, bayes estimation, Rayleigh distribution, maximum likelihood, 0101 mathematics, Biology, confidence intervals, Censoring (clinical trials), 4. Education, Statistics, Confidence interval, Mixed-Effects Models, Paleontology, Computer science, Physical Sciences, rayleigh populations, Mathematics

Přístupová URL adresa: https://doaj.org/article/912de3d05fb54a01bd867c90482faf8f

Statistical inference of the Birnbaum-Saunders model using adaptive progressively hybrid censored data and its applications

Autoři: Ahmed Elshahhat Refah Alotaibi Mazen Nassar

Zdroj: AIMS Mathematics, Vol 9, Iss 5, Pp 11092-11121 (2024)

Témata: Statistics and Probability, Importance sampling, Bayesian inference, Sample size determination, Bayesian probability, 01 natural sciences, Estimator, Bayes' theorem, Methods for Handling Missing Data in Statistical Analysis, Skew Distributions and Applications in Statistics, QA1-939, FOS: Mathematics, Model Complexity, maximum likelihood, 0101 mathematics, Statistical Methods, Censoring (clinical trials), Global and Planetary Change, Maximum Likelihood Estimation, 4. Education, Statistics, Confidence interval, Mixed-Effects Models, Point estimation, adaptive progressively type-ⅱ hybrid censoring, Applied mathematics, Posterior probability, Monte Carlo method, Markov chain Monte Carlo, Sensitivity Analysis, markov chain, Physical Sciences, Global Drought Monitoring and Assessment, Environmental Science, birnbaum-saunders model, Mathematics, Statistical inference, Interval estimation, bayesian estimation

Přístupová URL adresa: https://doaj.org/article/c14a7785849b4f7fa4f5f956ed9af9eb

Reliability analysis for two populations Nadarajah-Haghighi distribution under Joint progressive type-II censoring

Autoři: Mustafa M. Hasaballah Yusra Tashkandy Oluwafemi Samson Balogun a další

Zdroj: AIMS Mathematics, Vol 9, Iss 4, Pp 10333-10352 (2024)

Témata: Statistics and Probability, Artificial intelligence, Population, 02 engineering and technology, Bayesian probability, 01 natural sciences, Estimator, Quantum mechanics, joint progressive censoring scheme, Lifetime Modeling, Joint probability distribution, Methods for Handling Missing Data in Statistical Analysis, Inference, Order statistic, Sociology, Skew Distributions and Applications in Statistics, Prior probability, nadarajah-haghighighi distributions, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0101 mathematics, Censoring (clinical trials), Demography, Global and Planetary Change, Maximum Likelihood Estimation, Physics, Statistics, Mixed-Effects Models, Power (physics), Applied mathematics, mcmc method, Computer science, FOS: Sociology, Monte Carlo method, Reliability (semiconductor), Physical Sciences, Global Drought Monitoring and Assessment, Environmental Science, Mathematics, bayesian estimation

Přístupová URL adresa: https://doaj.org/article/0fece999ea014b6198b3b99eb92a5521

Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference

Autoři: Liana Jacobi Chun Fung Kwok Andrés Ramírez Hassan a další

Zdroj: Studies in Nonlinear Dynamics & Econometrics. 28:403-434

Témata: Statistics and Probability, Artificial intelligence, Conjugate prior, Bayesian inference, Social Sciences, Regularization and Variable Selection Methods, Bayesian probability, Model selection, 01 natural sciences, Mathematical analysis, Engineering, Methods for Handling Missing Data in Statistical Analysis, Inference, Prior probability, 0502 economics and business, Parameter space, FOS: Mathematics, 0101 mathematics, Pointwise, Electronic engineering, Macroeconomic Analysis and Policy Implications, 05 social sciences, Statistics, Mixed-Effects Models, Posterior probability, Computer science, Sensitivity (control systems), Economics, Econometrics and Finance, Markov chain Monte Carlo, Sensitivity Analysis, Physical Sciences, General Economics, Econometrics and Finance, Mathematics

Simulating phenomena with exponentiated trigonometric distributions: a comparative study of estimation methods and real-world applications

Autoři: W. A. Hassanein T. A. Elhaddad

Zdroj: Stochastic Environmental Research and Risk Assessment. 38:777-792

Témata: Statistics and Probability, Social Sciences, Geometry, Skew Distributions, Mathematical analysis, Quantum mechanics, Estimator, 01 natural sciences, Decision Sciences, Methods for Handling Missing Data in Statistical Analysis, Skew Distributions and Applications in Statistics, FOS: Mathematics, 0101 mathematics, Trigonometric functions, 0105 earth and related environmental sciences, Simulation Studies, Physics, 4. Education, Statistics, Power (physics), Applied mathematics, Computer science, 3. Good health, Generalized Exponential, Algorithm, Reliability (semiconductor), Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Statistics, Probability and Uncertainty, Trigonometry, Mathematics, Least-squares function approximation

Asymptotic Normality of Nonparametric Kernel Regression Estimation for Missing at Random Functional Spatial Data

Autoři: Fatimah Alshahrani Ibrahim M. Almanjahie Tawfik Benchikh a další

Zdroj: Journal of Mathematics, Vol 2023 (2023)

Témata: Statistics and Probability, Economics and Econometrics, Regression function, Missing data, Social Sciences, Kernel regression, Regularization and Variable Selection Methods, 01 natural sciences, Estimator, Spatial Econometrics and Spatial Data Analysis, Methods for Handling Missing Data in Statistical Analysis, 0502 economics and business, QA1-939, FOS: Mathematics, Panel Data Models, 0101 mathematics, Kernel density estimation, Nonparametric statistics, Asymptotic distribution, 05 social sciences, Statistics, Nonparametric regression, Applied mathematics, Economics, Econometrics and Finance, Sensitivity Analysis, Combinatorics, Physical Sciences, Kernel (algebra), Mathematics

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Přístupová URL adresa: https://doaj.org/article/7be291691c29444c8a90f977718658b0

Bayesian and E-Bayesian Estimation for the Generalized Rayleigh Distribution under Different Forms of Loss Functions with Real Data Application

Autoři: E. M. Eldemery A. M. Abd-Elfattah K. M. Mahfouz a další

Zdroj: Journal of Mathematics, Vol 2023 (2023)

Témata: Statistics and Probability, Bayesian inference, Bayesian average, Skew Distributions, 02 engineering and technology, Bayesian probability, Generalized Linear Models, Estimator, Mathematical analysis, 01 natural sciences, Bayes estimator, Methods for Handling Missing Data in Statistical Analysis, Skew Distributions and Applications in Statistics, Prior probability, QA1-939, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Hyperparameter, Global and Planetary Change, Bayesian Modeling, Exponential function, Statistics, Mathematical optimization, Mixed-Effects Models, Applied mathematics, Generalized Exponential, Algorithm, Physical Sciences, Global Drought Monitoring and Assessment, Environmental Science, Exponential distribution, Mean squared error, Bayesian linear regression, Mathematics

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Přístupová URL adresa: https://doaj.org/article/87b9d86921274de89ccac87563805582

A Monte Carlo permutation procedure for testing variance components in generalized linear regression models

Autoři: Yahia S. El-Horbaty

Zdroj: Computational Statistics. 39:2605-2621

Témata: Statistics and Probability, Resampling, Permutation (music), Linear model, Social Sciences, Experimental Design and Optimization Methods, Management Science and Operations Research, 01 natural sciences, Decision Sciences, Statistical hypothesis testing, Methods for Handling Missing Data in Statistical Analysis, Variance (accounting), Accounting, 0502 economics and business, FOS: Mathematics, Business, 0101 mathematics, Linear regression, Statistic, Principal Component Analysis, Physics, 4. Education, 05 social sciences, Statistics, Acoustics, Type I and type II errors, Computer science, Monte Carlo method, Algorithm, Test statistic, Physical Sciences, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Variational Bayesian Inference for Exponentiated Weibull Right Censored Survival Data

Autoři: Jibril Abubakar Mohd Asrul Affendi Abdullah Oyebayo Ridwan Olaniran

Zdroj: Statistics, Optimization & Information Computing. 11:1027-1040

Témata: Statistics and Probability, Regularization and Variable Selection Methods, Variational Inference, Bayesian probability, Mathematical analysis, T Technology (General), Methods for Handling Missing Data in Statistical Analysis, Shape parameter, Artificial Intelligence, FOS: Mathematics, Exponentiated Weibull distribution, Hidden Markov Models, 4. Education, Statistics, Exponential function, Mixed-Effects Models, Log-normal distribution, Covariate, Accelerated failure time model, Applied mathematics, Longitudinal Data Analysis, Computer Science, Physical Sciences, Exponential distribution, Weibull distribution, High-Dimensional Data, Model-Based Clustering with Mixture Models, Mathematics, Monotonic function

Popis souboru: text

Bayesian Inference of Dynamic Mediation Models for Longitudinal Data

Autoři: Shuai Zhao Zhiyong Zhang Hong Zhang

Zdroj: Structural Equation Modeling: A Multidisciplinary Journal. 31:14-26

Témata: Statistics and Probability, Artificial intelligence, Methods for Causal Inference in Observational Studies, Path analysis (statistics), Bayesian inference, Social Sciences, Experimental and Cognitive Psychology, Bayesian probability, 01 natural sciences, FOS: Economics and business, Methods for Handling Missing Data in Statistical Analysis, Inference, Sociology, 0504 sociology, Machine learning, FOS: Mathematics, Network Analysis of Psychopathology and Mental Disorders, Psychology, Econometrics, 0101 mathematics, Data mining, Mediation Analysis, Emotion Dynamics, 05 social sciences, Mixed-Effects Models, Psychometric Models, Mediation, Social science, Computer science, FOS: Sociology, FOS: Psychology, Longitudinal Data Analysis, Physical Sciences, Dynamic Bayesian network, Mathematics, Causal inference

An Adaptive Method for Likelihood Optimization in Linear Mixed Models Under Constrained Search Spaces

Autoři: Juan Carlos Salazar-Uribe Mauricio Alejandro Mazo Lopera Juan Carlos Morales

Zdroj: Revista Colombiana de Estadística. 46:121-143

Témata: Statistics and Probability, Robust Estimation, Restricted maximum likelihood, Covariance matrix, Generalized Linear Models, Quantum mechanics, 01 natural sciences, Positive-definite matrix, Methods for Handling Missing Data in Statistical Analysis, FOS: Mathematics, Estimation of covariance matrices, Model Complexity, 0101 mathematics, Estimation theory, Model Selection, Eigenvalues and eigenvectors, Positive definiteness, Covariance, Generalized linear mixed model, Physics, 4. Education, Mathematical optimization, Statistics, Mixed-Effects Models, Multivariate Analysis in Statistical Research, CMA-ES, Applied mathematics, Computer science, Algorithm, Physical Sciences, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment

Autoři: Yusra Tashkandy Walid Emam Gauss M. Cordeiro a další

Zdroj: Journal of Mathematics, Vol 2023 (2023)

Témata: Statistics and Probability, Social Sciences, Skew Distributions, 02 engineering and technology, Management Science and Operations Research, 01 natural sciences, Decision Sciences, FOS: Economics and business, Statistical hypothesis testing, Methods for Handling Missing Data in Statistical Analysis, Skew Distributions and Applications in Statistics, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Econometrics, 0101 mathematics, Modeling Risk in Insurance and Finance, Statistic, Ordinary least squares, Maximum Likelihood Estimation, 4. Education, Statistics, Heavy-Tailed Distributions, Ancillary statistic, Pearson's chi-squared test, Sensitivity Analysis, Test statistic, Physical Sciences, Mathematics

Přístupová URL adresa: https://doaj.org/article/9cdce1073de649f481ba713103af7ddd

Defining and estimating effects in cluster randomized trials: A methods comparison

Autoři: Alejandra Benitez Maya Petersen Mark J. van der Laan a další

Zdroj: Stat Med
Statistics in Medicine, vol 42, iss 19

Témata: FOS: Computer and information sciences, Epidemiology, Social Sciences, Cluster (spacecraft), Sample size determination, 01 natural sciences, Estimator, Social psychology, Mathematical Sciences, data-adaptive adjustment, Estimating equations, 0302 clinical medicine, Methods for Handling Missing Data in Statistical Analysis, Psychological intervention, Observational study, Cluster Analysis, Psychology, clustered data, Gee, Randomized Controlled Trials as Topic, Psychiatry, Statistics, Mixed-Effects Models, Covariate, Programming language, Causality, FOS: Psychology, Economics, Econometrics and Finance, stat.ME, Counterfactual thinking, Physical Sciences, Cluster randomised controlled trial, Public Health and Health Services, Premature Birth, Medicine, Female, Economics of Health Care Systems and Policies, Health and social care services research, Statistics and Probability, Economics and Econometrics, Methods for Causal Inference in Observational Studies, Statistics & Probability, Flexibility (engineering), Article, Methodology (stat.ME), FOS: Economics and business, 03 medical and health sciences, Health Sciences, FOS: Mathematics, Humans, Computer Simulation, Econometrics, 0101 mathematics, Hierarchical data, Statistics - Methodology, Infant, Newborn, Infant, Newborn, cluster randomized trials, Computer science, Type I and type II errors, 8.4 Research design and methodologies (health services), Good Health and Well Being, group randomized trials, Sample Size, Generic health relevance, Generalized estimating equation, targeted maximum likelihood estimation, Mathematics, Causal inference

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37308115
http://arxiv.org/abs/2110.09633
https://escholarship.org/uc/item/7rv3x83w
https://escholarship.org/content/qt7rv3x83w/qt7rv3x83w.pdf
https://escholarship.org/uc/item/7zx6227q