Estimation of pr{y<x) for truncation parameter distributions

DOI10.1080/03610928008827882zbMath0437.62035OpenAlexW2120965254MaRDI QIDQ3878538

M. A. Beg

Publication date: 1980

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928008827882

zbMATH Keywords

Paretoreliabilityindependent random variablescomplete sufficient statisticspower functionminimum variance unbiased estimatoruniform distributionsBlackwell-Rao-Lehmann-Scheffe theorytwo-parameter exponentialtruncation parameter distributions

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (7)

Estimation of pr[X>Y for gamma distributions] ⋮ Estimation of p{y_p> max(y₁, y₂, …, y_p-1)}in theexponential case ⋮ Unbiased Estimators and Tests for Truncation and Scale Parameters ⋮ Estimation of Pr{Y_p> max(Y₁, …, Y_p-1)}: Predictive approach in exponential case ⋮ The global minimum variance unbiased estimator of the parameter for a truncated parameter family under the optimal ranked set sampling ⋮ A note on the estimation of pr{y<x} for truncation parameter distributions ⋮ Estimation of Pr( x<y ) in the exponential case with common location parameter

Cites Work

• Unbiased Estimation: Functions of Location and Scale Parameters
• Transforming samples from truncation parameter distributions to uniformity
• On The Estimation of Pr {Y ⩽ X} for Exponential Families
• Conditional Distribution of Order Statistics and Distribution of the Reduced $i$th Order Statistic of the Exponential Model
• Some estimates of reliability using interference theory
• On Minimum Variance in Nonregular Estimation

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