Incorporating historical controls in testing for a trend in multinomial proportions
DOI10.1016/0378-3758(91)90012-4zbMath0725.62040OpenAlexW2005352795MaRDI QIDQ2277706
Ram C. Tiwari, Pranab Kumar Sen
Publication date: 1991
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(91)90012-4
Dirichlet distributionbioassaypolychotomous responsemultiple treatment groupsasymptotic efficacy resultsasymptotically most powerful rank order tests for grouped datahistorical control groupincreasing trend in proportiontrend alternatives
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Empirical Bayes approach to multiparameter estimation: With special reference to multinomial distribution
- On a class of asymptotically optimal nonparametric tests for grouped data. I, II
- Nonparametric empirical bayes estimation of the distribution function and the mean
- Incorporating Historical Controls in Testing for a Trend in Proportions
- On the Robustness of Combined Tests for Trends in Proportions
- Asymptotically Most Powerful Rank-Order Tests
- A Comparison of the Most Stringent and the Most Stringent Somewhere Most Powerful Test for Certain Problems with Restricted Alternative
- Asymptotically Most Powerful Rank Order Tests for Grouped Data
- Efficient Utilization of Non-Numerical Information in Quantitative Analysis General Theory and the Case of Simple Order
- Some Methods for Strengthening the Common χ 2 Tests
This page was built for publication: Incorporating historical controls in testing for a trend in multinomial proportions