SPLIDA

Software for Life Data Analysis. Click here for information on SPLIDA, a collection of S-Plus functions for Reliability Data Analysis. These functions were developed and used for the purpose of doing the examples in Meeker and Escobar. Included in the distribution are data sets and instructions on how to replicate almost all of the analyses in Meeker and Escobar. The current version of SPLIDA has an S-Plus graphical user interface (GUI) for much of its functionality. This version of SPLIDA will work S-Plus versions 6.x and 7.x. A command version of SPLIDA for R is under development.


References in zbMATH (referenced in 271 articles , 1 standard article )

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  1. Chen, Lee-Shen; Liang, TaChen; Yang, Ming-Chung: Designing Bayesian sampling plans for simple step-stress of accelerated life test on censored data (2022)
  2. Borges, Patrick: Estimating the turning point of the log-logistic hazard function in the presence of long-term survivors with an application for uterine cervical cancer data (2021)
  3. Coolen, Frank P. A.; Ahmadini, Abdullah A. H.; Coolen-Maturi, Tahani: Imprecise inference based on the log-rank test for accelerated life testing (2021)
  4. Finkelstein, Maxim; Cha, Ji Hwan; Ghosh, Shyamal: Optimal inspection for missions with a possibility of abortion or switching to a lighter regime (2021)
  5. He, Daojiang; Liu, Lei; Cao, Mingxiang: A doubly accelerated degradation model based on the inverse Gaussian process and its objective Bayesian analysis (2021)
  6. Morita, Lia H. M.; Tomazella, Vera L. D.; Ramos, Pedro L.; Ferreira, Paulo H.; Louzada, Francisco: The random deterioration rate model with measurement error based on the inverse Gaussian distribution (2021)
  7. Sirithip, Wasinrat; Chookait, Pudprommarat: Negative binomial-Lindley cure rate model (2021)
  8. Subramanian, Sundarraman: Median regression from twice censored data (2021)
  9. Tian, Yajie; Gui, Wenhao: Inference of weighted exponential distribution under progressively type-II censored competing risks model with electrodes data (2021)
  10. Zhang, Nan; Fouladirad, Mitra; Barros, Anne; Zhang, Jun: Reliability and maintenance analysis of a degradation-threshold-shock model for a system in a dynamic environment (2021)
  11. Zhao, Xiujie; Chen, Piao; Gaudoin, Olivier; Doyen, Laurent: Accelerated degradation tests with inspection effects (2021)
  12. Zheng, De-qiang; Fang, Xiang-zhong: Exact confidence limits for the parameter of an exponential distribution in the accelerated life tests under type-I censoring (2021)
  13. Ahmed, Essam A.; Ali Alhussain, Ziyad; Salah, Mukhtar M.; Haj Ahmed, Hanan; Eliwa, M. S.: Inference of progressively type-II censored competing risks data from Chen distribution with an application (2020)
  14. Alizadeh Noughabi, Hadi; Jarrahiferiz, Jalil: Tests of fit for the Gumbel distribution: EDF-based tests against entropy-based tests (2020)
  15. Balakrishnan, Narayanaswamy; Qin, Chengwei: Nonparametric optimal designs for degradation tests (2020)
  16. Dasilva, Alan; Dias, Renata; Leiva, Victor; Marchant, Carolina; Saulo, Helton: [Invited tutorial] Birnbaum-Saunders regression models: a comparative evaluation of three approaches (2020)
  17. Dey, Sanku; Nassar, Mazen: Classical methods of estimation on constant stress accelerated life tests under exponentiated Lindley distribution (2020)
  18. Dolgov, Sergey; Anaya-Izquierdo, Karim; Fox, Colin; Scheichl, Robert: Approximation and sampling of multivariate probability distributions in the tensor train decomposition (2020)
  19. He, Daojiang; Tao, Mingzhu: Statistical analysis for the doubly accelerated degradation Wiener model: an objective Bayesian approach (2020)
  20. Jiang, Peihua; Wang, Bing Xing; Wang, Xiaofei; Qin, Shuidan: Optimal plan for Wiener constant-stress accelerated degradation model (2020)

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