Estimating Common Scale Parameter of Two Logistic Populations: A Bayesian Study-Reference-Cited by-同舟云学术

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Estimating Common Scale Parameter of Two Logistic Populations: A Bayesian Study

Published:2020-10-27 Issue:1 Volume:40 Page:44-67
ISSN:0196-6324
Container-title:American Journal of Mathematical and Management Sciences
language:en
Short-container-title:American Journal of Mathematical and Management Sciences

Author:

Nagamani Nadiminti¹,Tripathy Manas Ranjan²,Kumar Somesh³

Affiliation:

1. Department of Mathematics, National Institute of Technology Andhra Pradesh, Tadepalligudem, India

2. Department of Mathematics, National Institute of Technology Rourkela, Rourkela, India

3. Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur, India

Funder

Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

Applied Mathematics,General Business, Management and Accounting

Link

https://www.tandfonline.com/doi/pdf/10.1080/01966324.2020.1833794

Reference23 articles.

1. Confidence intervals for the parameters of the logistic distribution

2. Handbook of the Logistic Distribution

3. Estimation of the parameters and quantiles of the logistic distribution by linear functions of sample quantiles

4. Combining Unbiased Estimators

5. Estimation of the Parameters of the Logistic Distribution

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Testing equality of quantiles for several logistic populations with some real-life applications;Communications in Statistics - Simulation and Computation;2023-04-18

2. Bayesian estimation and classification for two logistic populations with a common location;Computational Statistics;2022-07-25

3. Estimation and Classification Using Samples from Two Logistic Populations with a Common Scale Parameter;Lecture Notes in Electrical Engineering;2022

4. Bayesian inference of Unit Gompertz distribution based on dual generalized order statistics;Communications in Statistics - Simulation and Computation;2021-06-28

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