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    Article

    Planning step-stress test plans under Type-I hybrid censoring for the log-location-scale distribution

    The optimal design of a k-level step-stress accelerated life-testing (ALT) experiment with unequal duration steps under Type-I hybrid censoring scheme for a general log-location-scale lifetime distribution is dis...

    Chien-Tai Lin, Cheng-Chieh Chou, N. Balakrishnan in Statistical Methods & Applications (2020)

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    Chapter

    Exact Likelihood-Based Point and Interval Estimation for Lifetime Characteristics of Laplace Distribution Based on a Time-Constrained Life-Testing Experiment

    In this paper, we first derive explicit expressions for the MLEs of the location and scale parameters of the Laplace distribution based on a Type-I right-censored sample arising from a time-constrained life-te...

    **aojun Zhu, N. Balakrishnan in Mathematical and Statistical Applications … (2017)

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    Book

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    Chapter

    Progressive Type-I Censoring: Basic Properties

    The distribution theory of progressive Type-I censored order statistics is presented. Furthermore, the dependence structure and the distribution of the number of observations up to some given threshold are add...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Adaptive Progressive Type-II Censoring and Related Models

    The notion of adaptive progressive Type-II censoring is introduced in detail and the relation to some other models is illustrated. The discussion includes, e.g., nonadapative progressive Type-II censoring, the...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Progressive Type-I Interval Censored Data

    Inference for progressive Type-I interval censored data is presented. The discussion includes parametric inference as well as problems of choosing optimal inspection times and optimal progressive interval cens...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Simulation of Progressively Censored Order Statistics

    Several accounts to the simulation of progressively censored data are presented. This includes procedures mimicking the generation process ofprogressively censored order statistics as well as methods based on ...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Stress–Strength Models with Progressively Censored Data

    Step-stress models based on two progressively Type-II censored data sets are reviewed. The discussion includes likelihood inference as well minimum variance unbiased estimation. A special emphasis is put on ex...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Progressive Type-II Censoring Under Nonstandard Conditions

    The mixture representation for progressively Type-II censored order statistics from arbitrary baseline distributions is proven. Furthermore, results for INID progressively Type-II censored order statistics and...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Maximum Likelihood Estimation in Progressive Type-II Censoring

    Likelihood inference in progressive Type-II censoring is presented for a wide range of distributions including exponential, Weibull, extreme value, generalized Pareto, Laplace, and normal distributions. The ch...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Progressive Type-II Censoring: Distribution Theory

    The distribution theory of progressively Type-II censored order statistics is presented with a focus on particular baseline distributions like exponential and generalized Pareto distributions. The discussion i...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Progressive Hybrid and Adaptive Censoring and Related Inference

    Inferential results for progressive hybrid and adaptive progressive Type-II censored data are shown. A special focus is given to one- and two-parameter exponential distributions.

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Point Prediction from Progressively Type-II Censored Samples

    Several prediction problems for progressively Type-II censored data are considered. This includes prediction of progressively censored lifetime as well as prediction of future observations. After introducing s...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Counting and Quantile Processes and Progressive Censoring

    Results for counting and quantile processes based on progressively Type-II censored data are presented.

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Acceptance Sampling Plans

    Results for reliability/acceptance sampling plans based on progressively Type-II censored data are reviewed. This includes results for exponential, Weibull, and log-normal lifetimes. Furthermore, capability in...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Optimal Experimental Designs

    The problem of an optimal censoring plan in progressive Type-II censoring is discussed for several criteria including minimum experimental time, maximum Fisher information, minimum variance of estimates, as we...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Linear Estimation in Progressive Type-II Censoring

    Linear inference for progressively Type-II censored order statistics is discussed for location, scale, and location-scale families of population distributions. After a general introduction, results for exponen...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Progressive Censoring: Data and Models

    The notion of progressive censoring is explained by introducing progressive Type-I and Type-II censoring in detail. The presentation includes detailed descriptions of the procedures as well as graphical illust...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Point Estimation in Progressive Type-I Censoring

    Results on likelihood inference in progressive Type-I censoring are reviewed for a plenty of distributions including one- and two-parameter exponential, extreme value, Weibull, normal, and Burr distributions.

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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    Chapter

    Further Distributional Results on Progressive Type-II Censoring

    Further probabilistic results on progressively Type-II censored order statistics are summarized. First, characterization and stochastic ordering results are reviewed. After discussing aging properties, limitin...

    N. Balakrishnan, Erhard Cramer in The Art of Progressive Censoring (2014)

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