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  "Title": "Generalized Process Capability Indices under Hybrid Type-II\nCensoring",
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  "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\",\nemail = \"shikhar1093tyagi@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Sumit\", \"Kumar\",\nemail = \"stats.sumitbhal@gmail.com\",\nrole = \"aut\"),\nperson(\"Arvind\", \"Pandey\",\nemail = \"arvindmzu@gmail.com\",\nrole = \"aut\"),\nperson(\"Bhupendra\", \"Singh\",\nemail = \"bhupendra.rana@gmail.com\",\nrole = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\",\nemail = \"vrijesh.tripathi@uwi.edu\",\nrole = \"aut\")\n)",
  "Description": "A comprehensive, generalized framework for computing,\nestimating, and validating Generalized Process Capability\nIndices (GPCIs) under Hybrid Type-II censored lifetime data.\nSupports user-supplied probability density or mass functions\n(PDF/PMF), cumulative distribution functions (CDF), survival\nfunctions (SF), and quantile functions. Parameter estimation\nunder Hybrid Type-II censoring is performed via Maximum\nLikelihood Estimation using the 'MleCensoR' package (Childs et\nal., 2003 <doi:10.1007/BF02517803>; Balakrishnan & Kundu, 2013\n<doi:10.1002/nav.21545>). Computes classical and non-normal\ncapability indices, including Cpy (Maiti et al., 2010\n<doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019\n<doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019),\nCpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>),\nCNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>),\nCNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>),\nCNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>),\nand Vannman's Cp(u,v) family. Evaluates parametric and\nnon-parametric bootstrap confidence intervals at 90 percent, 95\npercent, and 99 percent levels of significance using\npercentile, normal, basic, BCa, BCp, and studentized bootstrap\nmethods. Computes standard errors, mean squared errors, and\ncoverage probabilities for both distribution parameters and\ncapability indices. Integrates goodness-of-fit testing for\nHybrid Type-II censored data via the 'gofPHCS' package.",
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  "Author": "Shikhar Tyagi [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1606-0844>), Sumit Kumar [aut],\nArvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi\n[aut]",
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    "boot_ci_hybrid2",
    "capability",
    "capability_hybrid2",
    "compute_diagnostics",
    "compute_diagnostics_hybrid2",
    "compute_theoretical_moments_hybrid2",
    "define_distribution",
    "define_distribution_hybrid2",
    "dist_exponential",
    "dist_gamma",
    "dist_logistic",
    "dist_loglogistic",
    "dist_lognormal",
    "dist_normal",
    "dist_weibull",
    "eval_performance",
    "eval_performance_hybrid2",
    "fit_distribution_hybrid2",
    "fit_hybrid2",
    "gof_test",
    "gof_test_hybrid2",
    "gpci_boot_hybrid2",
    "gpci_dist_hybrid2",
    "gpci_fit_hybrid2",
    "gpci_fit_hybrid2_dist",
    "gpci_index_hybrid2",
    "gpci_sim_hybrid2"
  ],
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    {
      "page": "boot_ci_hybrid2",
      "title": "Bootstrap Confidence Intervals for Hybrid Type-II Censored Data",
      "topics": [
        "boot_ci",
        "boot_ci_hybrid2",
        "gpci_boot_hybrid2"
      ]
    },
    {
      "page": "capability_hybrid2",
      "title": "Compute Process Capability Indices under Hybrid Type-II Censored Data",
      "topics": [
        "capability",
        "capability_hybrid2",
        "gpci_fit_hybrid2"
      ]
    },
    {
      "page": "coef.gpcifit_hybrid2",
      "title": "Coef Method for gpcifit_hybrid2",
      "topics": [
        "coef.gpcifit_hybrid2"
      ]
    },
    {
      "page": "compute_diagnostics_hybrid2",
      "title": "Compute Standard Errors, MSE, and Coverage Probabilities for Hybrid Type-II Censoring",
      "topics": [
        "compute_diagnostics",
        "compute_diagnostics_hybrid2"
      ]
    },
    {
      "page": "compute_theoretical_moments_hybrid2",
      "title": "Theoretical Moments of a Distribution",
      "topics": [
        "compute_theoretical_moments_hybrid2"
      ]
    },
    {
      "page": "confint.gpcifit_hybrid2",
      "title": "Confint Method for gpcifit_hybrid2",
      "topics": [
        "confint.gpcifit_hybrid2"
      ]
    },
    {
      "page": "define_distribution_hybrid2",
      "title": "Define a Process Distribution for Hybrid Type-II Censored Data",
      "topics": [
        "define_distribution",
        "define_distribution_hybrid2",
        "gpci_dist_hybrid2"
      ]
    },
    {
      "page": "dist_exponential",
      "title": "Exponential Distribution Constructor",
      "topics": [
        "dist_exponential"
      ]
    },
    {
      "page": "dist_gamma",
      "title": "Gamma Distribution Constructor",
      "topics": [
        "dist_gamma"
      ]
    },
    {
      "page": "dist_logistic",
      "title": "Logistic Distribution Constructor",
      "topics": [
        "dist_logistic"
      ]
    },
    {
      "page": "dist_loglogistic",
      "title": "Log-Logistic Distribution Constructor",
      "topics": [
        "dist_loglogistic"
      ]
    },
    {
      "page": "dist_lognormal",
      "title": "Lognormal Distribution Constructor",
      "topics": [
        "dist_lognormal"
      ]
    },
    {
      "page": "dist_normal",
      "title": "Normal Distribution Constructor",
      "topics": [
        "dist_normal"
      ]
    },
    {
      "page": "dist_weibull",
      "title": "Weibull Distribution Constructor",
      "topics": [
        "dist_weibull"
      ]
    },
    {
      "page": "eval_performance_hybrid2",
      "title": "Monte Carlo Simulation Framework for Hybrid Type-II Censoring",
      "topics": [
        "eval_performance",
        "eval_performance_hybrid2",
        "gpci_sim_hybrid2"
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    },
    {
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      "title": "Parameter Estimation for Hybrid Type-II Censored Data using MleCensoR",
      "topics": [
        "fit_distribution_hybrid2",
        "fit_hybrid2",
        "gpci_fit_hybrid2_dist"
      ]
    },
    {
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      "title": "Goodness-of-Fit Testing for Hybrid Type-II Censored Data using gofPHCS",
      "topics": [
        "gof_test",
        "gof_test_hybrid2"
      ]
    },
    {
      "page": "gpci_index_hybrid2",
      "title": "Extract a Specific Capability Index",
      "topics": [
        "gpci_index_hybrid2"
      ]
    },
    {
      "page": "print.gpci_ci_hybrid2",
      "title": "Print Method for Hybrid Type-II Bootstrap CIs",
      "topics": [
        "print.gpci_ci_hybrid2"
      ]
    },
    {
      "page": "print.gpci_diagnostics_hybrid2",
      "title": "Print Method for Hybrid Type-II Diagnostics",
      "topics": [
        "print.gpci_diagnostics_hybrid2"
      ]
    },
    {
      "page": "print.gpci_dist_hybrid2",
      "title": "Print Method for gpci_dist_hybrid2",
      "topics": [
        "print.gpci_dist_hybrid2"
      ]
    },
    {
      "page": "print.gpci_gof_hybrid2",
      "title": "Print Method for gpci_gof_hybrid2",
      "topics": [
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    },
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      "page": "print.gpci_sim_hybrid2",
      "title": "Print Method for Hybrid Type-II Monte Carlo Simulation",
      "topics": [
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      "headings": [
        "Introduction",
        "Example 1: Analysis with Exponential Distribution",
        "Example 2: Bootstrap Confidence Intervals",
        "Example 3: Diagnostics and Performance Evaluation",
        "Example 4: Goodness-of-Fit Testing",
        "References"
      ],
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