Nothing Special   »   [go: up one dir, main page]

Abd El-Raheem, 2021 - Google Patents

Optimal design of multiple constant-stress accelerated life testing for the extension of the exponential distribution under type-II censoring

Abd El-Raheem, 2021

Document ID
17155288044956282038
Author
Abd El-Raheem A
Publication year
Publication venue
Journal of Computational and Applied Mathematics

External Links

Snippet

In this paper, we consider the optimal allocation problem in multiple stress testing with type-II censored data. The failure times of the individual are assumed to be independent and follow an extension of the exponential distribution. The exact and asymptotic optimal allocations for …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting

Similar Documents

Publication Publication Date Title
Abd El-Raheem Optimal design of multiple constant-stress accelerated life testing for the extension of the exponential distribution under type-II censoring
CN109857835B (en) Self-adaptive network security knowledge evaluation method based on cognitive diagnosis theory
Kallus et al. On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
Grimm et al. Model selection in finite mixture models: A k-fold cross-validation approach
Pellagatti et al. Generalized mixed‐effects random forest: A flexible approach to predict university student dropout
Clark et al. Tail forecasting with multivariate Bayesian additive regression trees
Zhou Disclosure dynamics and investor learning
CN107153759B (en) A kind of aviation turbofan engine method for predicting residual useful life of multisource data fusion
Yang et al. Nonnegative adaptive lasso for ultra-high dimensional regression models and a two-stage method applied in financial modeling
Jiang et al. Generalized four moment theorem and an application to CLT for spiked eigenvalues of high-dimensional covariance matrices
Cao Time-varying effects of changes in the interest rate and the RMB exchange rate on the stock market of China: Evidence from the long-memory TVP-VAR model
CN106067034A (en) A kind of distribution network load curve clustering method based on higher dimensional matrix characteristic root
CN113420887B (en) Prediction model construction method, prediction model construction device, computer equipment and readable storage medium
Mahmoud et al. Inferences for new Weibull-Pareto distribution based on progressively Type-II censored data
CN110222098A (en) Electric power high amount of traffic abnormality detection based on flow data clustering algorithm
Bégin et al. On the estimation of jump-diffusion models using intraday data: A filtering-based approach
CN110008972A (en) Method and apparatus for data enhancing
Mitze Endogeneity in panel data models with time-varying and time-fixed regressors: to IV or not IV?
Liu et al. Nonparametric estimate of conditional quantile residual lifetime for right censored data
Zandi et al. Estimation of fixed parameters in negative binomial mixed model using shrinkage estimators
Cai et al. Online risk measure estimation via natural gradient boosting
Sestelo et al. A method for determining groups in cumulative incidence curves in competing risk data
Yan et al. Frequentist model averaging for global Fréchet regression
Beyaztas et al. A robust specification test in linear panel data models
Salam et al. Application of Logistic Regression Modeling for Complex Survey Data on Education Continuity of Poor Households Children