We deal with sampling by variables with two-way protection in the case of a <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$N\(\mu ,\sigma ^2)$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mrow> <mi>N</mi> <mspace width="0.222222em"/> <mo stretchy="false">(</mo> <mi mathvariant="italic">μ</mi> <mo>,</mo> <msup> <mi mathvariant="italic">σ</mi> <mn>2</mn> </msup> <mo stretchy="false">)</mo> </mrow> </math> </EquationSource> </InlineEquation> distributed characteristic with unknown <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$\sigma $$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mi mathvariant="italic">σ</mi> </math> </EquationSource> </InlineEquation>. The LR sampling plan proposed by Lieberman and Resnikoff (JASA 50: 457<InlineEquation ID="IEq3"> <EquationSource Format="TEX">$${-}$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mo>-</mo> </math> </EquationSource> </InlineEquation>516, <CitationRef CitationID="CR9">1955</CitationRef>) and the BSK...</citationref></equationsource></equationsource></inlineequation></equationsource></equationsource></inlineequation></equationsource></equationsource></inlineequation>

A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. In this review, we first discuss Type-I and Type-II hybrid censoring schemes and associated inferential issues. Next, we present details on developments regarding generalized hybrid censoring and unified hybrid...