Statistical inference based on the length-biased data for the modified power series distributions

DOI10.1080/03610929208830793zbMath0800.62104OpenAlexW2089804945MaRDI QIDQ3135596

Ramesh C. Gupta, Ram C. Tripathi

Publication date: 11 October 1993

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

Full work available at URL: https://doi.org/10.1080/03610929208830793

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Exact distribution theory in statistics (62E15) Asymptotic properties of parametric tests (62F05)

Related Items (1)

Hypothesis testing for the population mean and variance based on r-size biased samples

Cites Work

• What do the arithmetic, geometric and harmonic means tell us in length- biased sampling ?
• Maximum likelihood estimation for the generalized poisson distribution
• On discrete weighted distributions and their use in model choice for observed data
• The negative integer moments of the generalized poisson distribution
• A comparison between the ordinary and the length-biased modified power series distributions with applications
• Waiting time paradox and size biased sampling
• Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
• Maximum likelihood estimation for the generalized poisson distribution when sample mean is larger than sample variance
• On the theory of screening for chronic diseases
• Size-Biased Sampling

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