Progressive censoring methodology: an appraisal

By Narayanaswamy Balakrishnan. 2007

590 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f00d3ea7f3f5940d0ba77e8d7aabba01d1d59c3c

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In Global and Planetary Change

In Statistics and Probability

Citations in the corpus

On estimation of R=P(Y<X) for exponential distribution under progressive type-II censoring (2012, background): “(4) It has been shown by Balakrishnan and Aggarwala [14] that Zi ’s are independent and identically distributed exponential random variables with mean θ1.”
Adaptive progressive Type-II censoring (2010, unknown): “…statistics in a sample of size γ k+1 = n − k − k i=1 r i from the left truncated version (at x k:m:n ) of the parent distribution with progressive censoring scheme (r k+1 , . . . , r m−1 , n − m − m−1 i=1 r i ) (see Balakrishnan and Aggarwala 2000, Balakrishnan 2007, or Kamps and Cramer 2001 ).”
Bayesian and maximum likelihood estimations of the inverse Weibull parameters under progressive type-II censoring (2014, background): “Therefore, for a given type-II progressive censoring scheme, (n, m, R1, . . . , Rm), one observes the following sample: x1:m:n x2:m:n · · · xm:m:n. (2) In the last few years, progressive censoring scheme has received considerable attention, see for example the book by Balakrishnan andAggarwala”
Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution (2013, methodology): “We then have B(1, 1) = nλ (μ(k))2 [ 3t̄ (μ(k))2 − 2 μ(k) ] − nz̄ (k) (μ(k))2 , B(2, 2) = n 2(λ(k))2 , B(1, 2) = B(2, 1) = − n (μ(k))3 ( t̄ − μ ) , S(1) = − (k) μ(k) + nλ (μ(k))3 ( t̄ − μ )”
On progressively censored generalized exponential distribution (2009, background): “A recent account on progressive censoring schemes can be obtained in the monograph by Balakrishnan and Aggarwala (2000) or in the excellent review article by Balakrishnan (2007).”