Výsledky vyhľadávania - "Experimental Design and Optimization Methods"

Analysis of a new jointly hybrid censored Rayleigh populations

Autori: Ahmed Elshahhat Hanan Haj Ahmad Ahmed Rabaiah a ďalší

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

Predmety: 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

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

Chi-squared type test for distributional censored and uncensored validity with numerical assessments and real data applications

Autori: Haitham M. Yousof Khaoula Aidi G. G. Hamedani a ďalší

Zdroj: Japanese Journal of Statistics and Data Science. 6:729-758

Predmety: Statistics and Probability, Chi-square test, Test (biology), Social Sciences, Experimental Design and Optimization Methods, 02 engineering and technology, Management Science and Operations Research, 01 natural sciences, Decision Sciences, Skew Distributions and Applications in Statistics, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Biology, Extension (predicate logic), Ecology, 4. Education, Statistics, Paleontology, Type I and type II errors, Computer science, Programming language, FOS: Biological sciences, Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Mean squared error, Reliability Analysis, Statistics, Probability and Uncertainty, Type (biology), Mathematics

On Quantifying the Rotatability of the Hybrid Designs

Autori: Emmanuel Uchenna Ohaegbulem

Zdroj: European Journal of Theoretical and Applied Sciences. 1:254-266

Predmety: Statistics, Social Sciences, Measure (data warehouse), Experimental Design and Optimization Methods, Epistemology, Management Science and Operations Research, Computer science, Decision Sciences, FOS: Philosophy, ethics and religion, Philosophy, Robust Parameter Design, Simple (philosophy), FOS: Mathematics, Data mining, Mathematics

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

Autori: Yahia S. El-Horbaty

Zdroj: Computational Statistics. 39:2605-2621

Predmety: 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

MULTI-RESPONSE OPTIMIZATION OF METFORMIN -HYDROCHLORIDE DRUG VIA EXPERIMENTAL DESIGN TECHNIQUES APPLIED ON THE ADAPTIVE LOCAL LINEAR REGRESSION MODEL FOR RESPONSE SURFACE METHODOLOGY

Autori: Omo Eguasa M. E. Eguasa

Zdroj: FUDMA JOURNAL OF SCIENCES. 6:262-270

Predmety: Statistical Process Control in Research and Healthcare Improvement, Social Sciences, Factorial Designs, Experimental Design and Optimization Methods, Management Science and Operations Research, Multi-response Optimization, 01 natural sciences, Decision Sciences, Response surface methodology, Factorial experiment, 0504 sociology, Robust Parameter Design, FOS: Mathematics, Linear regression, 0101 mathematics, Goodness of fit, Experimental Design, Mathematical optimization, Statistics, 05 social sciences, Data point, Computer science, Regression, Algorithm, Computational Theory and Mathematics, Residual, Computer Science, Physical Sciences, Statistics, Probability and Uncertainty, Response Surface Methodology, Multiobjective Optimization in Evolutionary Algorithms, Polynomial regression, Regression analysis, Mathematics

A- and D-optimal designs in real life data using imperialist comparative algorithm

Autori: Bodunwa, O. K. Adewole, A. I.

Zdroj: Ghana Journal of Science; Vol. 63 No. 2 (2022); 12-20

Predmety: Design for Manufacture and Assembly in Manufacturing, Optimization, Optimal design, Imperialist competitive algorithm, Social Sciences, Geometry, Evolutionary biology, Experimental Design and Optimization Methods, Management Science and Operations Research, Mathematical analysis, Industrial and Manufacturing Engineering, Efficiency Lower Bound, Decision Sciences, Engineering, Variance (accounting), Point (geometry), Accounting, Machine learning, Robust Parameter Design, FOS: Mathematics, Business, Sensitivity function, Grid, Optimization problem, D-optimal design, Biology, Covariance, Electronic engineering, Multi-swarm optimization, Mathematical optimization, Statistics, Imperialist Competitive Algorithm, 16. Peace & justice, Computer science, Sensitivity (control systems), A-optimal design, Algorithm, Computational Theory and Mathematics, Function (biology), Computer Science, Physical Sciences, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Discretization

Popis súboru: application/pdf

Prístupová URL adresa: https://www.ajol.info/index.php/gjs/article/view/242811

AN ADAPTIVE LOCAL LINEAR REGRESSION METHOD FOR MOBILE SIGNAL STRENGTH WITH APPLICATION TO RESPONSE SURFACE METHODOLOGY

Autori: Itua O. Akhideno Omo Eguasa

Zdroj: FUDMA JOURNAL OF SCIENCES. 6:41-49

Predmety: Statistics and Probability, Proper linear model, Social Sciences, Experimental Design and Optimization Methods, Management Science and Operations Research, Multi-response Optimization, 7. Clean energy, Local regression, Decision Sciences, Biochemistry, Genetics and Molecular Biology, Machine learning, 11. Sustainability, FOS: Mathematics, Genetics, Robust Parameter Design, Linear regression, Goodness of fit, Statistics, Multivariate Analysis in Statistical Research, Life Sciences, Computer science, Regression, 3. Good health, Algorithm, Parametric statistics, FOS: Biological sciences, Residual, Physical Sciences, Genomic Selection in Plant and Animal Breeding, Response Surface Methodology, Regression analysis, Polynomial regression, Mathematics

New Rayleigh Flexible Weibull Extension (RFWE) Distribution with Applications to Real and Simulated Data

Autori: Muneeb Javed Syed Muhammad Asim Alamgir Khalil a ďalší

Zdroj: Modelling and Simulation in Engineering, Vol 2022 (2022)

Predmety: Statistics and Probability, Generalization, Social Sciences, Skew Distributions, Experimental Design and Optimization Methods, 02 engineering and technology, Management Science and Operations Research, Bayesian probability, Mathematical analysis, 01 natural sciences, Weibull Distribution, Decision Sciences, Bayes' theorem, Skew Distributions and Applications in Statistics, Prior probability, Probability density function, FOS: Mathematics, Robust Parameter Design, 0202 electrical engineering, electronic engineering, information engineering, Rayleigh distribution, 0101 mathematics, Extension (predicate logic), Statistics, QA75.5-76.95, Applied mathematics, Computer science, Programming language, Electronic computers. Computer science, Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Weibull distribution, Reliability Analysis, Statistics, Probability and Uncertainty, Mathematics

Popis súboru: text/xhtml

Prístupová URL adresa: https://doaj.org/article/c4fa294cadd345b499c578a2a0505bab

REMATTOOL-R: a smart tool for identifying superior maize genotypes from multi-environment yield trials

Autori: Lewis Machida Francisco Huerta Rodriguez Dan Makumbi a ďalší

Zdroj: Journal of Crop Improvement. 37:663-686

Predmety: 0106 biological sciences, Anthesis, Agricultural engineering, monitoring systems, Social Sciences, Plant Science, Experimental Design and Optimization Methods, Yield (engineering), Management Science and Operations Research, varietal screening, Zea mays, 01 natural sciences, Decision Sciences, Agricultural and Biological Sciences, Selection (genetic algorithm), Engineering, Cultivar Evaluation and Mega-Environment Investigation, Biochemistry, Genetics and Molecular Biology, Machine learning, plant breeding, Genetics, FOS: Mathematics, Biology, 2. Zero hunger, Water content, métodos de ensayo, Statistics, cribado varietal, Life Sciences, 04 agricultural and veterinary sciences, trial methods, Biplot Analysis, Breeding program, Computer science, Agronomy, Hybrid, Materials science, Cultivar Evaluation, Maize Domestication, Geotechnical engineering, Genetic Architecture of Quantitative Traits, Best linear unbiased prediction, FOS: Biological sciences, Metallurgy, 0401 agriculture, forestry, and fisheries, Cultivar, fitomejoramiento, Mathematics, Biotechnology

Popis súboru: p. 663-686; application/pdf

Erdős–Szekeres theorem for multidimensional arrays

Autori: Matija Bucić Benjamin Sudakov Tuan Tran

Zdroj: Journal of the European Mathematical Society, 25 (8)

Predmety: Variety (cybernetics), Social Sciences, Bernstein's theorem on monotone functions, Geometry, Experimental Design and Optimization Methods, 0102 computer and information sciences, Management Science and Operations Research, Mathematical analysis, 01 natural sciences, Industrial and Manufacturing Engineering, Decision Sciences, Upper and lower bounds, Bounded function, Optical Code Division Multiple Access, Engineering, high-dimensional permutations, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Genetics, Electrical and Electronic Engineering, 0101 mathematics, Biology, Coherent and Incoherent Systems, Exponential function, Statistics, monotone arrays, Ramsey theory, Discrete mathematics, Optimization of Cutting and Packing Problems, Dimension (graph theory), Combinatorics, Strongly monotone, FOS: Biological sciences, Physical Sciences, Subsequence, Erdős–Szekeres theorem, Monotone polygon, Mathematics, Sequence (biology)

Popis súboru: application/application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11850/624467

Bayesian Optimal Phase II Design for Randomized Clinical Trials

Autori: Yujie Zhao Bo Yang John Lee a ďalší

Zdroj: Statistics in Biopharmaceutical Research. 14:423-432

Predmety: Statistics and Probability, Economics and Econometrics, Artificial intelligence, Social Sciences, Organic chemistry, Experimental Design and Optimization Methods, Phase (matter), Management Science and Operations Research, Bayesian probability, 01 natural sciences, Decision Sciences, 03 medical and health sciences, 0302 clinical medicine, FOS: Mathematics, 0101 mathematics, Internal medicine, 4. Education, Statistics, Computer science, 3. Good health, Economics, Econometrics and Finance, Chemistry, Health Economics and Quality of Life Assessment, Randomized controlled trial, Physical Sciences, Medicine, Statistical Methods in Clinical Trials and Drug Development, Mathematics

Optimization of Parameters Using Taguchi Orthogonal Array Design for an Intensified Per-Pass Conversion of Alphabutol® Technology in Butene-1 Production

Autori: Hamoud Alenezi Zainab Haidar Mirdul Das

Zdroj: International Journal of Chemical Engineering, Vol 2022 (2022)

Predmety: Optimization, Composite material, Materials Science, Biomedical Engineering, Social Sciences, Organic chemistry, Experimental Design and Optimization Methods, 02 engineering and technology, Management Science and Operations Research, FOS: Medical engineering, 01 natural sciences, 7. Clean energy, Catalysis, Decision Sciences, Analytical Chemistry (journal), Chemical engineering, Engineering, Droplet Microfluidics Technology, Materials Chemistry, Robust Parameter Design, FOS: Mathematics, Taguchi methods, Chromatography, Materials science, 0104 chemical sciences, Catalytic Nanomaterials, Chemistry, Physical Sciences, Orthogonal array, TP155-156, 0210 nano-technology, Mathematics, Taguchi Method

Popis súboru: text/xhtml

Prístupová URL adresa: https://doaj.org/article/d02d62e609c046989f63a7c2c74287cb

Optimized two-stage time-truncated control chart for Weibull distribution

Autori: Shafaqat Ali José A. Pires Jorge Muhammad Aslam a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Predmety: Measurement and Uncertainty Evaluation, Science, Control chart, Statistical Process Control in Research and Healthcare Improvement, Control Charts, Social Sciences, 02 engineering and technology, Experimental Design and Optimization Methods, Management Science and Operations Research, Statistical Process Control, 01 natural sciences, Article, Reliability engineering, Decision Sciences, Filter (signal processing), Engineering, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Chart, 0101 mathematics, Statistics, \bar x and R chart, Sampling (signal processing), Computer science, Process (computing), Operating system, Control limits, Risk-Adjusted Charts, X-bar chart, Medicine, Weibull distribution, Computer vision, Statistics, Probability and Uncertainty, Mathematics

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38267592
https://doaj.org/article/7765dde82c434c5691cb20f3d67cc744

Finite Population Mixed Models for Pretest-Posttest Designs with Response Errors

Autori: Luz Mery González Júlio M. Singer Edward J. Stanek

Zdroj: Revista Colombiana de Estadística. 45:125-148

Predmety: Statistics and Probability, Estimation Methods, Population, Social Sciences, Experimental Design and Optimization Methods, Management Science and Operations Research, Multi-response Optimization, Estimator, 01 natural sciences, Quantitative Randomized Response Models, Decision Sciences, Context (archaeology), Methods for Handling Missing Data in Statistical Analysis, 0502 economics and business, FOS: Mathematics, 0101 mathematics, Statistical Methods for Sensitive Survey Questions, Biology, Covariance, Statistics, 05 social sciences, Mixed-Effects Models, Paleontology, Applied mathematics, Standard error, Environmental health, Physical Sciences, Analysis of covariance, Mean squared error, Medicine, Population Mean Estimation, Mathematics

A variable sampling plan based on the coefficient of variation for lots resubmission

Autori: Ching Ho Yen Muhammad Aslam Chia‐Hao Chang a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)

Predmety: History, Science, 0211 other engineering and technologies, Statistical Process Control in Research and Healthcare Improvement, Social Sciences, 02 engineering and technology, Experimental Design and Optimization Methods, Sample size determination, Epistemology, Management Science and Operations Research, Astrophysics, 01 natural sciences, Fabric Defect Detection in Industrial Applications, Mathematical analysis, Article, Industrial and Manufacturing Engineering, Decision Sciences, Multivariate Monitoring, Filter (signal processing), 12. Responsible consumption, Engineering, Plan (archaeology), 11. Sustainability, FOS: Mathematics, 0101 mathematics, Variable (mathematics), Data mining, Chromatography, 9. Industry and infrastructure, Sample (material), Physics, Statistics, Sampling (signal processing), Computer science, FOS: Philosophy, ethics and religion, Philosophy, Chemistry, Archaeology, 13. Climate action, Physical Sciences, Variation (astronomy), Quality (philosophy), Medicine, Computer vision, Statistics, Probability and Uncertainty, Acceptance sampling, Mathematics

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38151512
https://doaj.org/article/44f623f93d2f48b2b526823b17cc8870

Acceptance sampling plan based on difference in difference estimator with application

Autori: Muhammad Azam Muhammad N. Khan Asma Arshad a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)

Predmety: Statistics and Probability, Outlier Detection, Robust Estimation, Science, Statistical Process Control in Research and Healthcare Improvement, Social Sciences, Experimental Design and Optimization Methods, Management Science and Operations Research, Estimator, Article, Decision Sciences, 12. Responsible consumption, Significant difference, Plan (archaeology), FOS: Mathematics, Robust Parameter Design, Biology, Statistics, Paleontology, Detector, Sampling (signal processing), Computer science, Physical Sciences, Telecommunications, Medicine, Statistics, Probability and Uncertainty, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38102466
https://doaj.org/article/f1ce9ee5cf684df785a832d86312cf47

Robust process capability indices Cpm and Cpmk using Weibull process

Autori: Muhammad Kashif Sami Ullah Muhammad Aslam a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)

Predmety: Statistics and Probability, Science, 0211 other engineering and technologies, Statistical Process Control in Research and Healthcare Improvement, Social Sciences, 02 engineering and technology, Experimental Design and Optimization Methods, Management Science and Operations Research, Process capability, Statistical Process Control, 01 natural sciences, Article, Work in process, Decision Sciences, Engineering, FOS: Mathematics, Robust Parameter Design, Robust Statistics, 0101 mathematics, Data mining, Principal Component Analysis, Process Capability Indices, Process capability index, Statistics, Computer science, Process (computing), Operating system, Operations management, Physical Sciences, Medicine, Weibull distribution, Statistics, Probability and Uncertainty, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37813919
https://doaj.org/article/db149f9189fc4468aa691a81088aab50

Designs for Screening Experiments with Quantitative Factors

Autori: Nam‐Ky Nguyen Stella Stylianou Tung-Dinh Pham a ďalší

Zdroj: Novel Aspects of Gas Chromatography and Chemometrics ISBN: 9781803568362
Novel Aspects of Gas Chromatography and Chemometrics

Predmety: Statistics and Probability, Artificial intelligence, Table (database), Social Sciences, Factorial Designs, Experimental Design and Optimization Methods, Management Science and Operations Research, Decision Sciences, Analytical Chemistry, Factorial experiment, FOS: Chemical sciences, Machine learning, FOS: Mathematics, Bayesian Design, Chemometrics, Data mining, Fractional factorial design, Experimental Design, Chemometrics in Analytical Chemistry and Food Technology, Chemometric Tools, Computer science, Chemistry, Resolution (logic), Physical Sciences, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Prístupová URL adresa: https://mts.intechopen.com/articles/show/title/designs-for-screening-experiments-with-quantitative-factors

Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints

Autori: Tianyu Zhan Yiwang Zhou Ziqian Geng a ďalší

Zdroj: Journal of Biopharmaceutical Statistics. 32:90-106

Predmety: FOS: Computer and information sciences, Statistics and Probability, Economics and Econometrics, Artificial intelligence, Social Sciences, Control (management), Experimental Design and Optimization Methods, Management Science and Operations Research, 01 natural sciences, Confirmatory factor analysis, Structural equation modeling, Decision Sciences, Methodology (stat.ME), FOS: Economics and business, Machine learning, FOS: Mathematics, Humans, Psychology, Computer Simulation, Econometrics, 0101 mathematics, Data mining, Internal medicine, Statistics - Methodology, Probability, Multiple Testing, Bayes Theorem, Composite Endpoints, Computer science, Clinical trial, FOS: Psychology, Economics, Econometrics and Finance, Health Economics and Quality of Life Assessment, Research Design, Sample Size, Physical Sciences, Medicine, Statistical Methods in Clinical Trials and Drug Development, Mathematics, Matching Methods

Prístupová URL adresa: http://arxiv.org/pdf/2008.12774
https://pubmed.ncbi.nlm.nih.gov/34632951
http://arxiv.org/abs/2008.12774
https://www.tandfonline.com/doi/full/10.1080/10543406.2021.1975128

Using geometric mean to compute robust mixture designs

Autori: Wanida Limmun Boonorm Chomtee John J. Borkowski

Zdroj: Quality and Reliability Engineering International. 37:3441-3464

Predmety: Design for Manufacture and Assembly in Manufacturing, Artificial intelligence, Robustness (evolution), Component (thermodynamics), 0211 other engineering and technologies, Social Sciences, Surrogate Modeling, Set (abstract data type), Experimental Design and Optimization Methods, 02 engineering and technology, Management Science and Operations Research, Biochemistry, Gene, 01 natural sciences, Industrial and Manufacturing Engineering, Decision Sciences, Engineering, Robust Parameter Design, Bayesian Design, FOS: Mathematics, 0101 mathematics, Mixture model, Experimental Design, Physics, Mathematical optimization, Fixture Design, Computer science, Programming language, Algorithm, Chemistry, Computational Theory and Mathematics, Genetic algorithm, Computer Science, Physical Sciences, Thermodynamics, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/10.1002/qre.2927